Karolina Sura

Opponent rating

1,185

Expected win chance

49%

Current estimated model contribution

Rating influence

≈ +6 Current rating influence: This win exceeded the model’s expectation, so it supports a higher rating. This win exceeded the model’s expectation, so it supports a higher rating. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +6

This win exceeded the model’s expectation, so it supports a higher rating.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,185

Effective opponent evidence

1.7

Opponent rating status

Provisional

Expected win chance

49%

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

3

Score

18–0

Academy during event

Inside Position Academy

Opponent rating

1,064

Expected win chance

65%

Current estimated model contribution

Rating influence

≈ +2 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +2

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,064

Effective opponent evidence

5.6

Opponent rating status

Established

Expected win chance

65%

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

1

Score

7–0

Academy during event

Inside Position Academy

Opponent rating

1,125

Expected win chance

81%

Current estimated model contribution

Rating influence

≈ +8 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +8

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,125

Effective opponent evidence

8.0

Opponent rating status

Established

Expected win chance

81%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

3

Score

7–0

Academy during event

Inside Position Academy

Opponent rating

1,303

Expected win chance

67%

Current estimated model contribution

Rating influence

≈ +13 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +13

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,303

Effective opponent evidence

4.8

Opponent rating status

Established

Expected win chance

67%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

2

Score

7–0

Academy during event

Inside Position Academy

Opponent rating

1,325

Expected win chance

42%

Current estimated model contribution

Rating influence

≈ −12 Current rating influence: The stronger opponent reduces the negative influence. The stronger opponent reduces the negative influence. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ −12

The stronger opponent reduces the negative influence.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,325

Effective opponent evidence

5.0

Opponent rating status

Established

Expected win chance

42%

Result

Loss

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

01:47

Round

1

Score

2–0

Academy during event

Inside Position Academy

Opponent rating

1,230

Expected win chance

57%

Current estimated model contribution

Rating influence

≈ −13 Current rating influence: The loss weighs more negatively because the athlete was favored. The loss weighs more negatively because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ −13

The loss weighs more negatively because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,230

Effective opponent evidence

5.9

Opponent rating status

Established

Expected win chance

57%

Result

Loss

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

1

Score

3–6

Academy during event

Inside Position Academy

Opponent rating

1,143

Expected win chance

77%

Current estimated model contribution

Rating influence

≈ +6 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +6

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,143

Effective opponent evidence

1.2

Opponent rating status

Provisional

Expected win chance

77%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.59

Same-event matches

2

Meetings with this opponent

2

Duration

00:45

Round

2

Score

7–0

Academy during event

Inside Position Academy

Opponent rating

1,143

Expected win chance

77%

Current estimated model contribution

Rating influence

≈ +6 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +6

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,143

Effective opponent evidence

1.2

Opponent rating status

Provisional

Expected win chance

77%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.59

Same-event matches

2

Meetings with this opponent

2

Duration

00:39

Round

1

Score

6–0

Academy during event

Inside Position Academy

Opponent rating

1,190

Expected win chance

73%

Current estimated model contribution

Rating influence

≈ +7 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +7

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,190

Effective opponent evidence

2.9

Opponent rating status

Provisional

Expected win chance

73%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.59

Same-event matches

2

Meetings with this opponent

2

Duration

00:25

Round

2

Score

4–0

Academy during event

Inside Position Academy

Opponent rating

1,190

Expected win chance

73%

Current estimated model contribution

Rating influence

≈ +7 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +7

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,190

Effective opponent evidence

2.9

Opponent rating status

Provisional

Expected win chance

73%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.59

Same-event matches

2

Meetings with this opponent

2

Duration

01:16

Round

1

Score

7–0

Academy during event

Inside Position Academy

Opponent rating

1,190

Expected win chance

63%

Current estimated model contribution

Rating influence

≈ +3 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +3

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,190

Effective opponent evidence

7.5

Opponent rating status

Established

Expected win chance

63%

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.59

Same-event matches

2

Meetings with this opponent

2

Duration

03:00

Round

1

Score

6–0

Academy during event

Inside Position Academy

Opponent rating

1,313

Expected win chance

55%

Current estimated model contribution

Rating influence

≈ −13 Current rating influence: The loss weighs more negatively because the athlete was favored. The loss weighs more negatively because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ −13

The loss weighs more negatively because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,313

Effective opponent evidence

1.7

Opponent rating status

Provisional

Expected win chance

55%

Result

Loss

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

1

Score

0–3

Academy during event

Inside Position Academy

Opponent rating

1,078

Expected win chance

73%

Current estimated model contribution

Rating influence

≈ +7 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +7

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,078

Effective opponent evidence

3.4

Opponent rating status

Provisional

Expected win chance

73%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

01:21

Round

3

Score

6–0

Academy during event

Inside Position Academy

Opponent rating

1,204

Expected win chance

73%

Current estimated model contribution

Rating influence

≈ +11 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +11

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,204

Effective opponent evidence

1.7

Opponent rating status

Provisional

Expected win chance

73%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

00:16

Round

2

Score

0–0

Academy during event

Inside Position Academy

Opponent rating

1,299

Expected win chance

49%

Current estimated model contribution

Rating influence

≈ −13 Current rating influence: The stronger opponent reduces the negative influence. The stronger opponent reduces the negative influence. The evidence weight is lower because this athlete had 4 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ −13

The stronger opponent reduces the negative influence.

The evidence weight is lower because this athlete had 4 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,299

Effective opponent evidence

4.5

Opponent rating status

Established

Expected win chance

49%

Result

Loss

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.71

Same-event matches

4

Meetings with this opponent

1

Duration

03:00

Round

5

Score

0–2

Academy during event

Inside Position Academy

Opponent rating

1,072

Expected win chance

50%

Current estimated model contribution

Rating influence

≈ +2 Current rating influence: This win exceeded the model’s expectation, so it supports a higher rating. This win exceeded the model’s expectation, so it supports a higher rating. The evidence weight is lower because this athlete had 4 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +2

This win exceeded the model’s expectation, so it supports a higher rating.

The evidence weight is lower because this athlete had 4 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,072

Effective opponent evidence

2.8

Opponent rating status

Provisional

Expected win chance

50%

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.71

Same-event matches

4

Meetings with this opponent

1

Duration

03:00

Round

4

Score

18–0

Academy during event

Inside Position Academy

Opponent rating

1,213

Expected win chance

50%

Current estimated model contribution

Rating influence

≈ +5 Current rating influence: This win exceeded the model’s expectation, so it supports a higher rating. This win exceeded the model’s expectation, so it supports a higher rating. The evidence weight is lower because this athlete had 4 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +5

This win exceeded the model’s expectation, so it supports a higher rating.

The evidence weight is lower because this athlete had 4 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,213

Effective opponent evidence

2.8

Opponent rating status

Provisional

Expected win chance

50%

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.71

Same-event matches

4

Meetings with this opponent

1

Duration

03:00

Round

3

Score

12–0

Academy during event

Inside Position Academy

Opponent rating

1,190

Expected win chance

68%

Current estimated model contribution

Rating influence

≈ +2 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 4 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +2

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 4 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,190

Effective opponent evidence

7.5

Opponent rating status

Established

Expected win chance

68%

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.50

Same-event matches

4

Meetings with this opponent

2

Duration

03:00

Round

1

Score

24–0

Academy during event

Inside Position Academy

Opponent rating

1,295

Expected win chance

72%

Current estimated model contribution

Rating influence

≈ −18 Current rating influence: The loss weighs more negatively because the athlete was favored. The loss weighs more negatively because the athlete was favored. Within Gi this match has full weight: there were no other eligible matches at this event or other meetings with this opponent. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ −18

The loss weighs more negatively because the athlete was favored.

Within Gi this match has full weight: there were no other eligible matches at this event or other meetings with this opponent.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,295

Effective opponent evidence

1.0

Opponent rating status

Provisional

Expected win chance

72%

Result

Loss

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

1.00

Same-event matches

1

Meetings with this opponent

1

Duration

17:38

Round

1

Academy during event

Inside Position Academy

Opponent rating

1,235

Expected win chance

44%

Current estimated model contribution

Rating influence

≈ −13 Current rating influence: The stronger opponent reduces the negative influence. The stronger opponent reduces the negative influence. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ −13

The stronger opponent reduces the negative influence.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,235

Effective opponent evidence

1.0

Opponent rating status

Provisional

Expected win chance

44%

Result

Loss

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

00:29

Round

2

Score

0–2

Academy during event

Inside Position Academy

Opponent rating

1,102

Expected win chance

58%

Current estimated model contribution

Rating influence

≈ +5 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +5

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,102

Effective opponent evidence

2.0

Opponent rating status

Provisional

Expected win chance

58%

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

02:53

Round

1

Score

9–0

Academy during event

Inside Position Academy

Opponent rating

1,100

Expected win chance

79%

Current estimated model contribution

Rating influence

≈ +6 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +6

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,100

Effective opponent evidence

2.9

Opponent rating status

Provisional

Expected win chance

79%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.59

Same-event matches

2

Meetings with this opponent

2

Duration

01:45

Round

2

Score

7–0

Academy during event

Inside Position Academy

Opponent rating

1,100

Expected win chance

79%

Current estimated model contribution

Rating influence

≈ +6 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. The evidence weight is lower because these athletes met 2 times. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +6

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

The evidence weight is lower because these athletes met 2 times.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,100

Effective opponent evidence

2.9

Opponent rating status

Provisional

Expected win chance

79%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.59

Same-event matches

2

Meetings with this opponent

2

Duration

01:01

Round

1

Score

8–0

Academy during event

Inside Position Academy

Opponent rating

1,115

Expected win chance

69%

Current estimated model contribution

Rating influence

≈ +9 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +9

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,115

Effective opponent evidence

1.7

Opponent rating status

Provisional

Expected win chance

69%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

3

Score

20–0

Academy during event

Inside Position Academy

Opponent rating

1,182

Expected win chance

60%

Current estimated model contribution

Rating influence

≈ +12 Current rating influence: The win supports a higher rating, but less strongly because the athlete was favored. The win supports a higher rating, but less strongly because the athlete was favored. The evidence weight is lower because this athlete had 2 rated matches at this event. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ +12

The win supports a higher rating, but less strongly because the athlete was favored.

The evidence weight is lower because this athlete had 2 rated matches at this event.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Opponent rating

1,182

Effective opponent evidence

2.9

Opponent rating status

Provisional

Expected win chance

60%

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Evidence weight

0.84

Same-event matches

2

Meetings with this opponent

1

Duration

03:00

Round

1

Score

2–0

Academy during event

Inside Position Academy

Current estimated model contribution

Rating influence

≈ 0 Current rating influence: This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ 0

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Duration

03:00

Round

2

Score

22–0

Academy during event

Inside Position Academy

Outside the current rating period

Current estimated model contribution

Rating influence

≈ 0 Current rating influence: This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ 0

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Result

Win

Format

No-Gi

Athlete’s No-Gi rating

12 rated matches · Established

Duration

00:35

Round

1

Score

13–0

Academy during event

Inside Position Academy

Outside the current rating period

Current estimated model contribution

Rating influence

≈ 0 Current rating influence: This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ 0

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Duration

03:00

Round

3

Score

13–0

Academy during event

Inside Position Academy

Outside the current rating period

Current estimated model contribution

Rating influence

≈ 0 Current rating influence: This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ 0

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Duration

01:38

Round

2

Score

13–0

Academy during event

Inside Position Academy

Outside the current rating period

Current estimated model contribution

Rating influence

≈ 0 Current rating influence: This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches. Later results can change this estimate when the model learns more about either athlete.

Current rating influence ≈ 0

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Calculation details

This number estimates how much the published Overall rating would differ if this match were omitted. It is not a points transaction and cannot be added to other matches.

Later results can change this estimate when the model learns more about either athlete.

Result

Win

Format

Gi

Athlete’s Gi rating

13 rated matches · Established

Round

1

Score

0–0

Academy during event

Inside Position Academy

Outside the current rating period