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Indiana Fever at Connecticut Sun

IND 85 – CON 75

June 13, 2026 · Final

Coach Sarah Watanabe

Best model for this game

Coach Sarah Watanabe
All models: 12-0
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 IND at CON

All 12 models’ predicted scores

IND — one dot per model CON — one dot per model Actual: IND 85, CON 75
Vince Chambers
IND 84.3–88.8 CON 77.4–82.3 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.8) — by 6.7 points. The 95% ranges don't overlap at all — a confident model.

IND 84.7–88.4 CON 77.8–81.9 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.8) — by 6.7 points. The 90% ranges don't overlap at all — a confident model.

IND 84.9–88.2 CON 78.0–81.6 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.8) — by 6.7 points. The 85% ranges don't overlap at all — a confident model.

IND 85.1–88.0 CON 78.2–81.4 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.8) — by 6.7 points. The 80% ranges don't overlap at all — a confident model.

IND 85.2–87.8 CON 78.4–81.3 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.8) — by 6.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
42.19
p-value
1.71e-89

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
IND 83.7–89.0 CON 77.7–82.0 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.4) over Connecticut Sun (avg. 79.9) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

IND 84.1–88.6 CON 78.1–81.7 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.4) over Connecticut Sun (avg. 79.9) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

IND 84.4–88.3 CON 78.3–81.4 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.4) over Connecticut Sun (avg. 79.9) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

IND 84.6–88.1 CON 78.5–81.3 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.4) over Connecticut Sun (avg. 79.9) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

IND 84.8–87.9 CON 78.6–81.1 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.4) over Connecticut Sun (avg. 79.9) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
39.36
p-value
2.81e-83

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
IND 84.5–89.0 CON 77.6–81.9 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.7) — by 7.0 points. The 95% ranges don't overlap at all — a confident model.

IND 84.8–88.7 CON 77.9–81.5 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.7) — by 7.0 points. The 90% ranges don't overlap at all — a confident model.

IND 85.1–88.4 CON 78.2–81.3 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.7) — by 7.0 points. The 85% ranges don't overlap at all — a confident model.

IND 85.2–88.2 CON 78.3–81.1 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.7) — by 7.0 points. The 80% ranges don't overlap at all — a confident model.

IND 85.4–88.1 CON 78.5–81.0 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.7) — by 7.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
46.41
p-value
6.45e-96

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
IND 84.4–89.1 CON 77.9–82.1 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 95% ranges don't overlap at all — a confident model.

IND 84.8–88.7 CON 78.2–81.7 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 90% ranges don't overlap at all — a confident model.

IND 85.0–88.5 CON 78.5–81.5 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 85% ranges don't overlap at all — a confident model.

IND 85.2–88.3 CON 78.6–81.4 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 80% ranges don't overlap at all — a confident model.

IND 85.4–88.1 CON 78.8–81.2 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
44.11
p-value
7.36e-92

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 Tol Warning
IND 83.9–88.0 CON 77.5–81.9 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.2) over Connecticut Sun (avg. 79.7) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

IND 84.4–87.9 CON 77.9–81.6 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.2) over Connecticut Sun (avg. 79.7) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

IND 84.9–87.7 CON 78.1–81.4 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.2) over Connecticut Sun (avg. 79.7) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

IND 85.1–87.4 CON 78.3–81.2 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.2) over Connecticut Sun (avg. 79.7) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

IND 85.2–87.3 CON 78.4–81.0 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.2) over Connecticut Sun (avg. 79.7) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
39.24
p-value
4.87e-84

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 Tol Warning
IND 84.2–88.6 CON 77.8–81.9 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Connecticut Sun (avg. 79.7) — by 6.9 points. The 95% ranges don't overlap at all — a confident model.

IND 84.4–88.1 CON 78.0–81.3 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Connecticut Sun (avg. 79.7) — by 6.9 points. The 90% ranges don't overlap at all — a confident model.

IND 85.0–87.9 CON 78.3–81.0 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Connecticut Sun (avg. 79.7) — by 6.9 points. The 85% ranges don't overlap at all — a confident model.

IND 85.5–87.8 CON 78.5–80.9 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Connecticut Sun (avg. 79.7) — by 6.9 points. The 80% ranges don't overlap at all — a confident model.

IND 85.6–87.7 CON 78.7–80.7 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Connecticut Sun (avg. 79.7) — by 6.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
38.53
p-value
8.30e-84

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 Tol Warning
IND 84.1–89.3 CON 78.0–81.9 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.9) — by 6.8 points. The 95% ranges don't overlap at all — a confident model.

IND 84.6–88.8 CON 78.2–81.5 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.9) — by 6.8 points. The 90% ranges don't overlap at all — a confident model.

IND 84.8–88.6 CON 78.3–81.3 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.9) — by 6.8 points. The 85% ranges don't overlap at all — a confident model.

IND 85.0–88.4 CON 78.5–81.2 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.9) — by 6.8 points. The 80% ranges don't overlap at all — a confident model.

IND 85.2–88.2 CON 78.7–81.0 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.9) — by 6.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
38.88
p-value
1.12e-84

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 Tol Warning
IND 84.1–88.9 CON 77.5–81.3 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.6) — by 6.9 points. The 95% ranges don't overlap at all — a confident model.

IND 84.5–88.5 CON 78.2–80.9 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.6) — by 6.9 points. The 90% ranges don't overlap at all — a confident model.

IND 84.7–88.3 CON 78.4–80.7 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.6) — by 6.9 points. The 85% ranges don't overlap at all — a confident model.

IND 84.9–88.1 CON 78.5–80.5 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.6) — by 6.9 points. The 80% ranges don't overlap at all — a confident model.

IND 85.1–87.9 CON 78.7–80.4 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.5) over Connecticut Sun (avg. 79.6) — by 6.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
44.59
p-value
7.52e-93

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 Tol Warning
IND 85.3–88.8 CON 77.6–82.0 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.8) — by 6.9 points. The 95% ranges don't overlap at all — a confident model.

IND 85.4–88.1 CON 77.9–81.7 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.8) — by 6.9 points. The 90% ranges don't overlap at all — a confident model.

IND 85.4–88.1 CON 78.2–81.4 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.8) — by 6.9 points. The 85% ranges don't overlap at all — a confident model.

IND 85.6–88.0 CON 78.3–81.3 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.8) — by 6.9 points. The 80% ranges don't overlap at all — a confident model.

IND 85.6–87.8 CON 78.5–81.1 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Connecticut Sun (avg. 79.8) — by 6.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
46.06
p-value
1.46e-95

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
IND 84.3–89.3 CON 77.3–82.1 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 79.7) — by 7.1 points. The 95% ranges don't overlap at all — a confident model.

IND 84.7–88.9 CON 77.7–81.7 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 79.7) — by 7.1 points. The 90% ranges don't overlap at all — a confident model.

IND 85.0–88.6 CON 78.0–81.4 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 79.7) — by 7.1 points. The 85% ranges don't overlap at all — a confident model.

IND 85.2–88.4 CON 78.2–81.3 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 79.7) — by 7.1 points. The 80% ranges don't overlap at all — a confident model.

IND 85.4–88.3 CON 78.3–81.1 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 79.7) — by 7.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
42.74
p-value
1.10e-90

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
IND 84.5–89.1 CON 77.8–82.2 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 95% ranges don't overlap at all — a confident model.

IND 84.9–88.7 CON 78.1–81.9 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 90% ranges don't overlap at all — a confident model.

IND 85.1–88.4 CON 78.4–81.6 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 85% ranges don't overlap at all — a confident model.

IND 85.3–88.3 CON 78.5–81.5 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 80% ranges don't overlap at all — a confident model.

IND 85.4–88.1 CON 78.7–81.3 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Connecticut Sun (avg. 80.0) — by 6.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
43.71
p-value
2.92e-92

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
IND 83.3–88.5 CON 76.1–81.0 No overlap Actual: IND 85, CON 75

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 85.9) over Connecticut Sun (avg. 78.6) — by 7.3 points. The 95% ranges don't overlap at all — a confident model.

IND 83.7–88.1 CON 76.5–80.6 No overlap Actual: IND 85, CON 75

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 85.9) over Connecticut Sun (avg. 78.6) — by 7.3 points. The 90% ranges don't overlap at all — a confident model.

IND 84.0–87.8 CON 76.8–80.4 No overlap Actual: IND 85, CON 75

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 85.9) over Connecticut Sun (avg. 78.6) — by 7.3 points. The 85% ranges don't overlap at all — a confident model.

IND 84.2–87.6 CON 77.0–80.2 No overlap Actual: IND 85, CON 75

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 85.9) over Connecticut Sun (avg. 78.6) — by 7.3 points. The 80% ranges don't overlap at all — a confident model.

IND 84.4–87.4 CON 77.1–80.0 No overlap Actual: IND 85, CON 75

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 85.9) over Connecticut Sun (avg. 78.6) — by 7.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
42.01
p-value
8.99e-89

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 — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.3–88.8 77.4–82.3 — pts — No
90% 84.7–88.4 77.8–81.9 — pts — No
85% 84.9–88.2 78.0–81.6 — pts — No
80% 85.1–88.0 78.2–81.4 — pts — No
75% 85.2–87.8 78.4–81.3 — pts — No
Reg — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 83.7–89.0 77.7–82.0 — pts — No
90% 84.1–88.6 78.1–81.7 — pts — No
85% 84.4–88.3 78.3–81.4 — pts — No
80% 84.6–88.1 78.5–81.3 — pts — No
75% 84.8–87.9 78.6–81.1 — pts — No
Dr. Wallace — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.5–89.0 77.6–81.9 — pts — No
90% 84.8–88.7 77.9–81.5 — pts — No
85% 85.1–88.4 78.2–81.3 — pts — No
80% 85.2–88.2 78.3–81.1 — pts — No
75% 85.4–88.1 78.5–81.0 — pts — No
Kevin — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.4–89.1 77.9–82.1 — pts — No
90% 84.8–88.7 78.2–81.7 — pts — No
85% 85.0–88.5 78.5–81.5 — pts — No
80% 85.2–88.3 78.6–81.4 — pts — No
75% 85.4–88.1 78.8–81.2 — pts — No
Dr. Lila Shah — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 83.9–88.0 77.5–81.9 — pts Yes No
90% 84.4–87.9 77.9–81.6 — pts Yes No
85% 84.9–87.7 78.1–81.4 — pts Yes No
80% 85.1–87.4 78.3–81.2 — pts Yes No
75% 85.2–87.3 78.4–81.0 — pts Yes No
Ice — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.2–88.6 77.8–81.9 — pts Yes No
90% 84.4–88.1 78.0–81.3 — pts Yes No
85% 85.0–87.9 78.3–81.0 — pts Yes No
80% 85.5–87.8 78.5–80.9 — pts Yes No
75% 85.6–87.7 78.7–80.7 — pts Yes No
Jamal — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.1–89.3 78.0–81.9 — pts Yes No
90% 84.6–88.8 78.2–81.5 — pts Yes No
85% 84.8–88.6 78.3–81.3 — pts Yes No
80% 85.0–88.4 78.5–81.2 — pts Yes No
75% 85.2–88.2 78.7–81.0 — pts Yes No
Jordan — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.1–88.9 77.5–81.3 — pts Yes No
90% 84.5–88.5 78.2–80.9 — pts Yes No
85% 84.7–88.3 78.4–80.7 — pts Yes No
80% 84.9–88.1 78.5–80.5 — pts Yes No
75% 85.1–87.9 78.7–80.4 — pts Yes No
Darren "Dimes" Lin — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 85.3–88.8 77.6–82.0 — pts Yes No
90% 85.4–88.1 77.9–81.7 — pts Yes No
85% 85.4–88.1 78.2–81.4 — pts Yes No
80% 85.6–88.0 78.3–81.3 — pts Yes No
75% 85.6–87.8 78.5–81.1 — pts Yes No
Maya Jefferson — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.3–89.3 77.3–82.1 — pts — No
90% 84.7–88.9 77.7–81.7 — pts — No
85% 85.0–88.6 78.0–81.4 — pts — No
80% 85.2–88.4 78.2–81.3 — pts — No
75% 85.4–88.3 78.3–81.1 — pts — No
Lexi — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 84.5–89.1 77.8–82.2 — pts — No
90% 84.9–88.7 78.1–81.9 — pts — No
85% 85.1–88.4 78.4–81.6 — pts — No
80% 85.3–88.3 78.5–81.5 — pts — No
75% 85.4–88.1 78.7–81.3 — pts — No
Coach Sarah Watanabe — IND at CON — Actual: IND 85, CON 75
Level IND range CON range Overlap Tol Warning Actual landed in range?
95% 83.3–88.5 76.1–81.0 — pts — No
90% 83.7–88.1 76.5–80.6 — pts — No
85% 84.0–87.8 76.8–80.4 — pts — No
80% 84.2–87.6 77.0–80.2 — pts — No
75% 84.4–87.4 77.1–80.0 — pts — No