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Indiana Fever at Phoenix Mercury

IND 92 – PHX 89

July 9, 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 PHX

All 12 models’ predicted scores

IND — one dot per model PHX — one dot per model Actual: IND 92, PHX 89
Vince Chambers
IND 85.8–90.5 PHX 80.9–85.3 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.0 points. The 95% ranges don't overlap at all — a confident model.

IND 86.2–90.1 PHX 81.3–85.0 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.0 points. The 90% ranges don't overlap at all — a confident model.

IND 86.4–89.9 PHX 81.5–84.7 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.0 points. The 85% ranges don't overlap at all — a confident model.

IND 86.6–89.7 PHX 81.7–84.5 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.0 points. The 80% ranges don't overlap at all — a confident model.

IND 86.8–89.5 PHX 81.8–84.4 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
34.80
p-value
1.43e-85

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 85.6–90.8 PHX 80.7–85.4 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.0) — by 5.2 points. The 95% ranges don't overlap at all — a confident model.

IND 86.0–90.4 PHX 81.0–85.0 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.0) — by 5.2 points. The 90% ranges don't overlap at all — a confident model.

IND 86.3–90.1 PHX 81.3–84.8 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.0) — by 5.2 points. The 85% ranges don't overlap at all — a confident model.

IND 86.5–89.9 PHX 81.5–84.6 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.0) — by 5.2 points. The 80% ranges don't overlap at all — a confident model.

IND 86.7–89.7 PHX 81.6–84.4 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.0) — by 5.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
32.72
p-value
4.78e-81

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 86.1–90.2 PHX 81.3–84.8 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.1 points. The 95% ranges don't overlap at all — a confident model.

IND 86.5–89.9 PHX 81.6–84.6 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.1 points. The 90% ranges don't overlap at all — a confident model.

IND 86.7–89.7 PHX 81.8–84.4 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.1 points. The 85% ranges don't overlap at all — a confident model.

IND 86.8–89.5 PHX 81.9–84.2 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.1 points. The 80% ranges don't overlap at all — a confident model.

IND 87.0–89.4 PHX 82.0–84.1 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.1) — by 5.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
42.01
p-value
8.56e-99

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 86.0–90.4 PHX 81.1–85.4 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 4.9 points. The 95% ranges don't overlap at all — a confident model.

IND 86.3–90.0 PHX 81.5–85.0 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 4.9 points. The 90% ranges don't overlap at all — a confident model.

IND 86.6–89.8 PHX 81.7–84.8 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 4.9 points. The 85% ranges don't overlap at all — a confident model.

IND 86.7–89.6 PHX 81.9–84.6 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 4.9 points. The 80% ranges don't overlap at all — a confident model.

IND 86.9–89.5 PHX 82.0–84.5 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 4.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
35.98
p-value
3.54e-88

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
IND 85.3–90.2 PHX 81.1–85.1 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Phoenix Mercury (avg. 83.1) — by 4.7 points. The 95% ranges don't overlap at all — a confident model.

IND 85.7–89.9 PHX 81.4–84.8 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Phoenix Mercury (avg. 83.1) — by 4.7 points. The 90% ranges don't overlap at all — a confident model.

IND 86.0–89.6 PHX 81.6–84.6 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Phoenix Mercury (avg. 83.1) — by 4.7 points. The 85% ranges don't overlap at all — a confident model.

IND 86.2–89.4 PHX 81.8–84.4 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Phoenix Mercury (avg. 83.1) — by 4.7 points. The 80% ranges don't overlap at all — a confident model.

IND 86.4–89.2 PHX 81.9–84.3 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Phoenix Mercury (avg. 83.1) — by 4.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
32.93
p-value
2.66e-80

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
IND 85.7–90.4 PHX 81.2–85.3 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.0) over Phoenix Mercury (avg. 83.2) — by 4.8 points. The 95% ranges don't overlap at all — a confident model.

IND 86.1–90.0 PHX 81.5–84.9 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.0) over Phoenix Mercury (avg. 83.2) — by 4.8 points. The 90% ranges don't overlap at all — a confident model.

IND 86.3–89.8 PHX 81.7–84.7 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.0) over Phoenix Mercury (avg. 83.2) — by 4.8 points. The 85% ranges don't overlap at all — a confident model.

IND 86.5–89.6 PHX 81.9–84.5 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.0) over Phoenix Mercury (avg. 83.2) — by 4.8 points. The 80% ranges don't overlap at all — a confident model.

IND 86.7–89.4 PHX 82.0–84.4 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.0) over Phoenix Mercury (avg. 83.2) — by 4.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
34.40
p-value
5.56e-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
IND 85.9–90.4 PHX 80.9–84.9 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 95% ranges don't overlap at all — a confident model.

IND 86.3–90.1 PHX 81.6–84.7 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 90% ranges don't overlap at all — a confident model.

IND 86.5–89.8 PHX 81.8–84.5 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 85% ranges don't overlap at all — a confident model.

IND 86.7–89.6 PHX 81.9–84.3 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 80% ranges don't overlap at all — a confident model.

IND 86.9–89.5 PHX 82.0–84.1 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
32.63
p-value
2.33e-80

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
IND 86.1–90.3 PHX 81.2–85.2 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 95% ranges don't overlap at all — a confident model.

IND 86.5–90.0 PHX 81.5–84.9 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 90% ranges don't overlap at all — a confident model.

IND 86.7–89.8 PHX 81.7–84.7 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 85% ranges don't overlap at all — a confident model.

IND 86.9–89.6 PHX 81.9–84.5 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 80% ranges don't overlap at all — a confident model.

IND 87.0–89.4 PHX 82.0–84.4 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
38.56
p-value
2.34e-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
IND 86.5–90.8 PHX 81.1–85.3 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 95% ranges don't overlap at all — a confident model.

IND 86.7–90.5 PHX 81.4–85.0 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 90% ranges don't overlap at all — a confident model.

IND 86.9–89.5 PHX 81.6–84.8 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 85% ranges don't overlap at all — a confident model.

IND 87.0–89.5 PHX 81.8–84.6 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 80% ranges don't overlap at all — a confident model.

IND 87.1–89.3 PHX 82.0–84.5 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Phoenix Mercury (avg. 83.2) — by 5.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
35.51
p-value
5.65e-87

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 86.1–90.5 PHX 81.1–85.2 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.3) over Phoenix Mercury (avg. 83.2) — by 5.1 points. The 95% ranges don't overlap at all — a confident model.

IND 86.5–90.1 PHX 81.5–84.9 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.3) over Phoenix Mercury (avg. 83.2) — by 5.1 points. The 90% ranges don't overlap at all — a confident model.

IND 86.7–89.9 PHX 81.7–84.7 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.3) over Phoenix Mercury (avg. 83.2) — by 5.1 points. The 85% ranges don't overlap at all — a confident model.

IND 86.9–89.7 PHX 81.8–84.5 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.3) over Phoenix Mercury (avg. 83.2) — by 5.1 points. The 80% ranges don't overlap at all — a confident model.

IND 87.0–89.6 PHX 82.0–84.4 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.3) over Phoenix Mercury (avg. 83.2) — by 5.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
38.06
p-value
3.44e-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.

Lexi
IND 85.5–90.3 PHX 80.6–85.5 No overlap Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.9) over Phoenix Mercury (avg. 83.1) — by 4.9 points. The 95% ranges don't overlap at all — a confident model.

IND 85.9–89.9 PHX 81.0–85.1 No overlap Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.9) over Phoenix Mercury (avg. 83.1) — by 4.9 points. The 90% ranges don't overlap at all — a confident model.

IND 86.2–89.7 PHX 81.2–84.9 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.9) over Phoenix Mercury (avg. 83.1) — by 4.9 points. The 85% ranges don't overlap at all — a confident model.

IND 86.4–89.5 PHX 81.4–84.7 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.9) over Phoenix Mercury (avg. 83.1) — by 4.9 points. The 80% ranges don't overlap at all — a confident model.

IND 86.5–89.3 PHX 81.6–84.5 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.9) over Phoenix Mercury (avg. 83.1) — by 4.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
31.65
p-value
6.39e-79

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 85.9–91.5 PHX 81.7–87.0 Overlap 1.02 pts Actual: IND 92, PHX 89

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.7) over Phoenix Mercury (avg. 84.3) — by 4.4 points. The ranges overlap some — there's real uncertainty here.

IND 86.4–91.0 PHX 82.1–86.5 Overlap 0.15 pts Actual: IND 92, PHX 89

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.7) over Phoenix Mercury (avg. 84.3) — by 4.4 points. The ranges barely touch.

IND 86.7–90.7 PHX 82.4–86.3 No overlap Actual: IND 92, PHX 89

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.7) over Phoenix Mercury (avg. 84.3) — by 4.4 points. The 85% ranges don't overlap at all — a confident model.

IND 86.9–90.5 PHX 82.6–86.0 No overlap Actual: IND 92, PHX 89

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.7) over Phoenix Mercury (avg. 84.3) — by 4.4 points. The 80% ranges don't overlap at all — a confident model.

IND 87.1–90.3 PHX 82.8–85.9 No overlap Actual: IND 92, PHX 89

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.7) over Phoenix Mercury (avg. 84.3) — by 4.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
25.40
p-value
1.42e-63

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 PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 85.8–90.5 80.9–85.3 — pts — No
90% 86.2–90.1 81.3–85.0 — pts — No
85% 86.4–89.9 81.5–84.7 — pts — No
80% 86.6–89.7 81.7–84.5 — pts — No
75% 86.8–89.5 81.8–84.4 — pts — No
Reg — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 85.6–90.8 80.7–85.4 — pts — No
90% 86.0–90.4 81.0–85.0 — pts — No
85% 86.3–90.1 81.3–84.8 — pts — No
80% 86.5–89.9 81.5–84.6 — pts — No
75% 86.7–89.7 81.6–84.4 — pts — No
Dr. Wallace — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 86.1–90.2 81.3–84.8 — pts — No
90% 86.5–89.9 81.6–84.6 — pts — No
85% 86.7–89.7 81.8–84.4 — pts — No
80% 86.8–89.5 81.9–84.2 — pts — No
75% 87.0–89.4 82.0–84.1 — pts — No
Kevin — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 86.0–90.4 81.1–85.4 — pts — No
90% 86.3–90.0 81.5–85.0 — pts — No
85% 86.6–89.8 81.7–84.8 — pts — No
80% 86.7–89.6 81.9–84.6 — pts — No
75% 86.9–89.5 82.0–84.5 — pts — No
Dr. Lila Shah — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 85.3–90.2 81.1–85.1 — pts — No
90% 85.7–89.9 81.4–84.8 — pts — No
85% 86.0–89.6 81.6–84.6 — pts — No
80% 86.2–89.4 81.8–84.4 — pts — No
75% 86.4–89.2 81.9–84.3 — pts — No
Ice — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 85.7–90.4 81.2–85.3 — pts — No
90% 86.1–90.0 81.5–84.9 — pts — No
85% 86.3–89.8 81.7–84.7 — pts — No
80% 86.5–89.6 81.9–84.5 — pts — No
75% 86.7–89.4 82.0–84.4 — pts — No
Jamal — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 85.9–90.4 80.9–84.9 — pts — No
90% 86.3–90.1 81.6–84.7 — pts — No
85% 86.5–89.8 81.8–84.5 — pts — No
80% 86.7–89.6 81.9–84.3 — pts — No
75% 86.9–89.5 82.0–84.1 — pts — No
Jordan — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 86.1–90.3 81.2–85.2 — pts — No
90% 86.5–90.0 81.5–84.9 — pts — No
85% 86.7–89.8 81.7–84.7 — pts — No
80% 86.9–89.6 81.9–84.5 — pts — No
75% 87.0–89.4 82.0–84.4 — pts — No
Darren "Dimes" Lin — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 86.5–90.8 81.1–85.3 — pts — No
90% 86.7–90.5 81.4–85.0 — pts — No
85% 86.9–89.5 81.6–84.8 — pts — No
80% 87.0–89.5 81.8–84.6 — pts — No
75% 87.1–89.3 82.0–84.5 — pts — No
Maya Jefferson — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 86.1–90.5 81.1–85.2 — pts — No
90% 86.5–90.1 81.5–84.9 — pts — No
85% 86.7–89.9 81.7–84.7 — pts — No
80% 86.9–89.7 81.8–84.5 — pts — No
75% 87.0–89.6 82.0–84.4 — pts — No
Lexi — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 85.5–90.3 80.6–85.5 — pts — No
90% 85.9–89.9 81.0–85.1 — pts — No
85% 86.2–89.7 81.2–84.9 — pts — No
80% 86.4–89.5 81.4–84.7 — pts — No
75% 86.5–89.3 81.6–84.5 — pts — No
Coach Sarah Watanabe — IND at PHX — Actual: IND 92, PHX 89
Level IND range PHX range Overlap Tol Warning Actual landed in range?
95% 85.9–91.5 81.7–87.0 1.02 pts — No
90% 86.4–91.0 82.1–86.5 0.15 pts — No
85% 86.7–90.7 82.4–86.3 — pts — No
80% 86.9–90.5 82.6–86.0 — pts — No
75% 87.1–90.3 82.8–85.9 — pts — No