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New York Liberty at Connecticut Sun

NY 6 – CON 13

August 15, 2026 · Final

Dr. Wallace

Best model for this game

Dr. Wallace
All models: 0-12
Prediction ranges

In 95 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 90 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 85 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 80 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 75 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

Confidence level for NY at CON

All 12 models’ predicted scores

NY — one dot per model CON — one dot per model Actual: NY 6, CON 13
Vince Chambers
NY 86.9–93.3 CON 82.7–87.8 Overlap 0.9 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 89.6) over Connecticut Sun (avg. 84.6) — by 5.0 points. The ranges barely touch.

NY 87.2–92.7 CON 82.7–87.7 Overlap 0.42 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 89.6) over Connecticut Sun (avg. 84.6) — by 5.0 points. The ranges barely touch.

NY 87.6–92.4 CON 82.9–87.0 No overlap Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 89.6) over Connecticut Sun (avg. 84.6) — by 5.0 points. The 85% ranges don't overlap at all — a confident model.

NY 87.7–92.0 CON 83.0–87.0 No overlap Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 89.6) over Connecticut Sun (avg. 84.6) — by 5.0 points. The 80% ranges don't overlap at all — a confident model.

NY 87.8–91.5 CON 83.0–86.4 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 89.6) over Connecticut Sun (avg. 84.6) — by 5.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
23.87
p-value
1.15e-61

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Reg
NY 84.8–93.7 CON 78.3–87.9 Overlap 3.12 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 89.3) over Connecticut Sun (avg. 84.1) — by 5.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.5–93.0 CON 79.2–87.4 Overlap 1.88 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 89.3) over Connecticut Sun (avg. 84.1) — by 5.2 points. The ranges overlap some — there's real uncertainty here.

NY 86.0–92.5 CON 79.7–87.1 Overlap 1.16 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 89.3) over Connecticut Sun (avg. 84.1) — by 5.2 points. The ranges overlap some — there's real uncertainty here.

NY 86.3–92.2 CON 80.5–86.5 Overlap 0.22 pts Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 89.3) over Connecticut Sun (avg. 84.1) — by 5.2 points. The ranges barely touch.

NY 86.6–91.9 CON 81.0–86.4 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 89.3) over Connecticut Sun (avg. 84.1) — by 5.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
16.69
p-value
5.82e-40

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Wallace
NY 84.2–93.0 CON 78.7–88.0 Overlap 3.83 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.9) — by 4.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.9–92.3 CON 79.3–87.3 Overlap 2.44 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.9) — by 4.7 points. The ranges overlap some — there's real uncertainty here.

NY 85.3–91.8 CON 79.4–87.1 Overlap 1.79 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.9) — by 4.7 points. The ranges overlap some — there's real uncertainty here.

NY 85.7–91.5 CON 79.8–86.8 Overlap 1.14 pts Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.9) — by 4.7 points. The ranges overlap some — there's real uncertainty here.

NY 86.0–91.2 CON 80.3–86.6 Overlap 0.64 pts Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.9) — by 4.7 points. The ranges barely touch.

Show the math
Model
Dr. Wallace (#3)
t-statistic
14.86
p-value
4.56e-34

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Kevin
NY 85.3–93.1 CON 77.9–87.1 Overlap 1.84 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Connecticut Sun (avg. 82.4) — by 5.9 points. The ranges overlap some — there's real uncertainty here.

NY 85.5–91.8 CON 78.4–86.8 Overlap 1.37 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Connecticut Sun (avg. 82.4) — by 5.9 points. The ranges overlap some — there's real uncertainty here.

NY 85.7–91.0 CON 78.8–86.1 Overlap 0.42 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Connecticut Sun (avg. 82.4) — by 5.9 points. The ranges barely touch.

NY 85.9–90.8 CON 79.1–85.7 No overlap Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Connecticut Sun (avg. 82.4) — by 5.9 points. The 80% ranges don't overlap at all — a confident model.

NY 86.0–90.6 CON 79.2–85.4 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Connecticut Sun (avg. 82.4) — by 5.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
17.80
p-value
7.61e-43

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Lila Shah
NY 82.7–91.0 CON 78.2–85.9 Overlap 3.15 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Connecticut Sun (avg. 81.3) — by 5.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.4–90.3 CON 78.4–85.3 Overlap 1.93 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Connecticut Sun (avg. 81.3) — by 5.5 points. The ranges overlap some — there's real uncertainty here.

NY 83.8–89.9 CON 78.6–84.6 Overlap 0.78 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Connecticut Sun (avg. 81.3) — by 5.5 points. The ranges barely touch.

NY 84.2–89.5 CON 78.8–84.3 Overlap 0.18 pts Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Connecticut Sun (avg. 81.3) — by 5.5 points. The ranges barely touch.

NY 84.4–89.3 CON 79.0–84.1 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Connecticut Sun (avg. 81.3) — by 5.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
19.53
p-value
1.18e-48

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Ice
NY 83.2–91.0 CON 78.0–86.3 Overlap 3.08 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.1) over Connecticut Sun (avg. 81.4) — by 5.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.8–90.4 CON 78.4–85.7 Overlap 1.83 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.1) over Connecticut Sun (avg. 81.4) — by 5.7 points. The ranges overlap some — there's real uncertainty here.

NY 84.3–90.0 CON 78.5–85.3 Overlap 1.09 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.1) over Connecticut Sun (avg. 81.4) — by 5.7 points. The ranges overlap some — there's real uncertainty here.

NY 84.6–89.7 CON 78.7–85.0 Overlap 0.41 pts Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.1) over Connecticut Sun (avg. 81.4) — by 5.7 points. The ranges barely touch.

NY 84.8–89.4 CON 78.8–84.2 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.1) over Connecticut Sun (avg. 81.4) — by 5.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
19.37
p-value
7.70e-47

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jamal
NY 84.4–90.5 CON 77.9–86.2 Overlap 1.83 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.2) — by 5.8 points. The ranges overlap some — there's real uncertainty here.

NY 84.6–90.3 CON 78.2–85.3 Overlap 0.69 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.2) — by 5.8 points. The ranges barely touch.

NY 84.9–89.9 CON 78.6–84.7 No overlap Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.2) — by 5.8 points. The 85% ranges don't overlap at all — a confident model.

NY 85.0–89.5 CON 78.8–84.3 No overlap Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.2) — by 5.8 points. The 80% ranges don't overlap at all — a confident model.

NY 85.2–89.2 CON 79.1–84.2 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.2) — by 5.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
20.62
p-value
4.95e-51

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jordan
NY 83.6–90.7 CON 78.0–85.5 Overlap 1.89 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Connecticut Sun (avg. 80.9) — by 6.0 points. The ranges overlap some — there's real uncertainty here.

NY 84.1–90.3 CON 78.4–85.2 Overlap 1.06 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Connecticut Sun (avg. 80.9) — by 6.0 points. The ranges overlap some — there's real uncertainty here.

NY 84.6–89.4 CON 78.5–84.5 No overlap Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Connecticut Sun (avg. 80.9) — by 6.0 points. The 85% ranges don't overlap at all — a confident model.

NY 85.0–89.1 CON 78.6–84.4 No overlap Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Connecticut Sun (avg. 80.9) — by 6.0 points. The 80% ranges don't overlap at all — a confident model.

NY 85.3–88.8 CON 78.8–84.3 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Connecticut Sun (avg. 80.9) — by 6.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
22.84
p-value
3.74e-58

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Darren "Dimes" Lin
NY 84.4–91.1 CON 78.1–86.5 Overlap 2.05 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.4) — by 5.7 points. The ranges overlap some — there's real uncertainty here.

NY 84.6–90.4 CON 78.3–85.5 Overlap 0.91 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.4) — by 5.7 points. The ranges barely touch.

NY 84.9–90.1 CON 78.4–85.2 Overlap 0.27 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.4) — by 5.7 points. The ranges barely touch.

NY 85.1–89.5 CON 78.7–84.8 No overlap Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.4) — by 5.7 points. The 80% ranges don't overlap at all — a confident model.

NY 85.2–89.3 CON 78.9–84.4 No overlap Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.0) over Connecticut Sun (avg. 81.4) — by 5.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
19.04
p-value
2.60e-46

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Maya Jefferson
NY 83.8–92.2 CON 78.4–87.5 Overlap 3.61 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Connecticut Sun (avg. 81.9) — by 5.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.0–91.9 CON 78.5–87.0 Overlap 3.0 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Connecticut Sun (avg. 81.9) — by 5.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.4–91.5 CON 78.6–86.4 Overlap 1.99 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Connecticut Sun (avg. 81.9) — by 5.3 points. The ranges overlap some — there's real uncertainty here.

NY 84.6–91.2 CON 78.8–85.9 Overlap 1.31 pts Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Connecticut Sun (avg. 81.9) — by 5.3 points. The ranges overlap some — there's real uncertainty here.

NY 84.7–90.3 CON 79.0–85.6 Overlap 0.97 pts Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Connecticut Sun (avg. 81.9) — by 5.3 points. The ranges barely touch.

Show the math
Model
Maya Jefferson (#10)
t-statistic
15.15
p-value
2.02e-35

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Lexi
NY 82.6–92.5 CON 78.3–87.2 Overlap 4.61 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Connecticut Sun (avg. 82.2) — by 5.4 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.4–91.7 CON 78.7–86.4 Overlap 3.0 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Connecticut Sun (avg. 82.2) — by 5.4 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.9–91.2 CON 79.0–85.6 Overlap 1.7 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Connecticut Sun (avg. 82.2) — by 5.4 points. The ranges overlap some — there's real uncertainty here.

NY 84.3–90.8 CON 79.2–85.3 Overlap 0.93 pts Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Connecticut Sun (avg. 82.2) — by 5.4 points. The ranges barely touch.

NY 84.7–90.5 CON 79.3–85.1 Overlap 0.41 pts Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Connecticut Sun (avg. 82.2) — by 5.4 points. The ranges barely touch.

Show the math
Model
Lexi (#11)
t-statistic
16.31
p-value
5.30e-39

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Coach Sarah Watanabe
NY 84.2–93.3 CON 78.9–89.1 Overlap 4.89 pts Actual: NY 6, CON 13

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.2) — by 5.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.7–92.7 CON 79.0–88.3 Overlap 3.64 pts Actual: NY 6, CON 13

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.2) — by 5.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.8–92.5 CON 79.2–88.1 Overlap 3.29 pts Actual: NY 6, CON 13

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.2) — by 5.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.8–91.6 CON 79.5–87.4 Overlap 2.55 pts Actual: NY 6, CON 13

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.2) — by 5.3 points. The ranges overlap some — there's real uncertainty here.

NY 85.0–91.4 CON 79.6–86.9 Overlap 1.88 pts Actual: NY 6, CON 13

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Connecticut Sun (avg. 83.2) — by 5.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
13.65
p-value
1.18e-30

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

View as table
Vince Chambers — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 86.9–93.3 82.7–87.8 0.9 pts No
90% 87.2–92.7 82.7–87.7 0.42 pts No
85% 87.6–92.4 82.9–87.0 — pts No
80% 87.7–92.0 83.0–87.0 — pts No
75% 87.8–91.5 83.0–86.4 — pts No
Reg — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 84.8–93.7 78.3–87.9 3.12 pts No
90% 85.5–93.0 79.2–87.4 1.88 pts No
85% 86.0–92.5 79.7–87.1 1.16 pts No
80% 86.3–92.2 80.5–86.5 0.22 pts No
75% 86.6–91.9 81.0–86.4 — pts No
Dr. Wallace — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 84.2–93.0 78.7–88.0 3.83 pts No
90% 84.9–92.3 79.3–87.3 2.44 pts No
85% 85.3–91.8 79.4–87.1 1.79 pts No
80% 85.7–91.5 79.8–86.8 1.14 pts No
75% 86.0–91.2 80.3–86.6 0.64 pts No
Kevin — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 85.3–93.1 77.9–87.1 1.84 pts No
90% 85.5–91.8 78.4–86.8 1.37 pts No
85% 85.7–91.0 78.8–86.1 0.42 pts No
80% 85.9–90.8 79.1–85.7 — pts No
75% 86.0–90.6 79.2–85.4 — pts No
Dr. Lila Shah — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 82.7–91.0 78.2–85.9 3.15 pts No
90% 83.4–90.3 78.4–85.3 1.93 pts No
85% 83.8–89.9 78.6–84.6 0.78 pts No
80% 84.2–89.5 78.8–84.3 0.18 pts No
75% 84.4–89.3 79.0–84.1 — pts No
Ice — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 83.2–91.0 78.0–86.3 3.08 pts No
90% 83.8–90.4 78.4–85.7 1.83 pts No
85% 84.3–90.0 78.5–85.3 1.09 pts No
80% 84.6–89.7 78.7–85.0 0.41 pts No
75% 84.8–89.4 78.8–84.2 — pts No
Jamal — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 84.4–90.5 77.9–86.2 1.83 pts No
90% 84.6–90.3 78.2–85.3 0.69 pts No
85% 84.9–89.9 78.6–84.7 — pts No
80% 85.0–89.5 78.8–84.3 — pts No
75% 85.2–89.2 79.1–84.2 — pts No
Jordan — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 83.6–90.7 78.0–85.5 1.89 pts No
90% 84.1–90.3 78.4–85.2 1.06 pts No
85% 84.6–89.4 78.5–84.5 — pts No
80% 85.0–89.1 78.6–84.4 — pts No
75% 85.3–88.8 78.8–84.3 — pts No
Darren "Dimes" Lin — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 84.4–91.1 78.1–86.5 2.05 pts No
90% 84.6–90.4 78.3–85.5 0.91 pts No
85% 84.9–90.1 78.4–85.2 0.27 pts No
80% 85.1–89.5 78.7–84.8 — pts No
75% 85.2–89.3 78.9–84.4 — pts No
Maya Jefferson — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 83.8–92.2 78.4–87.5 3.61 pts No
90% 84.0–91.9 78.5–87.0 3.0 pts No
85% 84.4–91.5 78.6–86.4 1.99 pts No
80% 84.6–91.2 78.8–85.9 1.31 pts No
75% 84.7–90.3 79.0–85.6 0.97 pts No
Lexi — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 82.6–92.5 78.3–87.2 4.61 pts No
90% 83.4–91.7 78.7–86.4 3.0 pts No
85% 83.9–91.2 79.0–85.6 1.7 pts No
80% 84.3–90.8 79.2–85.3 0.93 pts No
75% 84.7–90.5 79.3–85.1 0.41 pts No
Coach Sarah Watanabe — NY at CON — Actual: NY 6, CON 13
Level NY range CON range Overlap Tol Warning Actual landed in range?
95% 84.2–93.3 78.9–89.1 4.89 pts No
90% 84.7–92.7 79.0–88.3 3.64 pts No
85% 84.8–92.5 79.2–88.1 3.29 pts No
80% 84.8–91.6 79.5–87.4 2.55 pts No
75% 85.0–91.4 79.6–86.9 1.88 pts No