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Phoenix Mercury at Dallas Wings

PHX 70 – DAL 85

June 11, 2026 · Final

Reg

Best model for this game

Reg
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 PHX at DAL

All 12 models’ predicted scores

PHX — one dot per model DAL — one dot per model Actual: PHX 70, DAL 85
Vince Chambers Tol Warning
PHX 81.2–85.3 DAL 82.7–87.9 Overlap 2.66 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Phoenix Mercury (avg. 83.5) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

PHX 81.5–85.2 DAL 83.1–87.5 Overlap 2.12 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Phoenix Mercury (avg. 83.5) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

PHX 81.9–85.1 DAL 83.4–87.2 Overlap 1.69 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Phoenix Mercury (avg. 83.5) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

PHX 82.2–85.0 DAL 83.6–87.0 Overlap 1.39 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Phoenix Mercury (avg. 83.5) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

PHX 82.4–84.8 DAL 83.8–86.8 Overlap 1.01 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Phoenix Mercury (avg. 83.5) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-9.89
p-value
2.20e-18

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
PHX 81.0–85.6 DAL 82.3–88.7 Overlap 3.3 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.5) over Phoenix Mercury (avg. 83.3) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.4–85.2 DAL 82.8–88.2 Overlap 2.42 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.5) over Phoenix Mercury (avg. 83.3) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

PHX 81.6–85.0 DAL 83.1–87.8 Overlap 1.84 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.5) over Phoenix Mercury (avg. 83.3) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

PHX 81.8–84.8 DAL 83.4–87.6 Overlap 1.4 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.5) over Phoenix Mercury (avg. 83.3) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

PHX 81.9–84.6 DAL 83.6–87.3 Overlap 1.03 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.5) over Phoenix Mercury (avg. 83.3) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-11.50
p-value
2.55e-22

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
PHX 81.3–85.9 DAL 82.6–87.6 Overlap 3.32 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.7–85.6 DAL 83.0–87.2 Overlap 2.55 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

PHX 81.9–85.3 DAL 83.3–86.9 Overlap 2.05 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

PHX 82.1–85.1 DAL 83.5–86.7 Overlap 1.66 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

PHX 82.3–85.0 DAL 83.6–86.6 Overlap 1.34 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-9.01
p-value
5.31e-16

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 Tol Warning
PHX 81.3–86.1 DAL 82.8–87.4 Overlap 3.34 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.2) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.7–85.8 DAL 83.5–87.2 Overlap 2.3 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.2) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

PHX 82.0–85.5 DAL 83.8–86.6 Overlap 1.75 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.2) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

PHX 82.2–85.3 DAL 83.8–86.5 Overlap 1.49 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.2) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

PHX 82.3–85.2 DAL 84.0–86.4 Overlap 1.2 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.2) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
-8.12
p-value
1.17e-13

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
PHX 81.4–86.1 DAL 81.3–86.4 Overlap 4.64 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Phoenix Mercury (avg. 83.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

PHX 81.8–85.7 DAL 81.7–86.0 Overlap 3.89 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Phoenix Mercury (avg. 83.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

PHX 82.0–85.4 DAL 82.0–85.8 Overlap 3.41 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Phoenix Mercury (avg. 83.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

PHX 82.2–85.3 DAL 82.2–85.6 Overlap 3.03 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Phoenix Mercury (avg. 83.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

PHX 82.4–85.1 DAL 82.4–85.4 Overlap 2.72 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Phoenix Mercury (avg. 83.7) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-0.87
p-value
3.84e-01

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
PHX 81.2–86.4 DAL 82.2–87.7 Overlap 4.23 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.8) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.6–86.0 DAL 82.6–87.2 Overlap 3.37 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.8) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.9–85.7 DAL 82.9–87.0 Overlap 2.81 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.8) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

PHX 82.1–85.5 DAL 83.2–86.7 Overlap 2.38 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.8) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

PHX 82.3–85.4 DAL 83.3–86.5 Overlap 2.02 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.8) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
-6.14
p-value
6.03e-09

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
PHX 81.6–86.1 DAL 81.8–87.5 Overlap 4.35 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

PHX 81.9–85.7 DAL 82.2–87.1 Overlap 3.52 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

PHX 82.2–85.5 DAL 82.5–86.8 Overlap 2.98 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

PHX 82.4–85.3 DAL 82.8–86.5 Overlap 2.57 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

PHX 82.5–85.2 DAL 83.0–86.3 Overlap 2.22 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
-4.51
p-value
1.28e-05

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
PHX 81.1–86.5 DAL 82.2–87.9 Overlap 4.3 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.8) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.6–86.1 DAL 82.6–87.5 Overlap 3.4 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.8) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.8–85.8 DAL 82.9–87.2 Overlap 2.82 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.8) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

PHX 82.1–85.6 DAL 83.2–86.9 Overlap 2.38 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.8) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

PHX 82.2–85.4 DAL 83.4–86.7 Overlap 2.01 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.8) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
-6.58
p-value
6.09e-10

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
PHX 82.0–86.0 DAL 83.3–87.4 Overlap 2.7 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

PHX 82.2–85.6 DAL 83.4–87.0 Overlap 2.2 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

PHX 82.4–85.3 DAL 83.6–86.8 Overlap 1.8 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

PHX 82.4–85.3 DAL 83.6–86.7 Overlap 1.64 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

PHX 82.5–85.2 DAL 83.7–86.7 Overlap 1.44 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Phoenix Mercury (avg. 83.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-7.58
p-value
2.52e-12

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
PHX 81.4–85.9 DAL 82.3–87.5 Overlap 3.64 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.8–85.6 DAL 82.7–87.1 Overlap 2.86 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

PHX 82.0–85.3 DAL 83.0–86.8 Overlap 2.35 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

PHX 82.2–85.1 DAL 83.2–86.6 Overlap 1.95 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

PHX 82.4–85.0 DAL 83.4–86.5 Overlap 1.63 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-7.38
p-value
8.20e-12

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
PHX 81.2–86.2 DAL 81.7–88.1 Overlap 4.51 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.6–85.8 DAL 82.2–87.6 Overlap 3.6 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.9–85.5 DAL 82.5–87.3 Overlap 3.0 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

PHX 82.1–85.3 DAL 82.8–87.0 Overlap 2.54 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

PHX 82.3–85.2 DAL 83.0–86.8 Overlap 2.16 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
-6.02
p-value
1.24e-08

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
PHX 80.8–85.8 DAL 82.6–86.7 Overlap 3.2 pts Actual: PHX 70, DAL 85

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

PHX 81.2–85.4 DAL 82.9–86.3 Overlap 2.47 pts Actual: PHX 70, DAL 85

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

PHX 81.5–85.1 DAL 83.1–86.1 Overlap 2.0 pts Actual: PHX 70, DAL 85

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

PHX 81.7–84.9 DAL 83.3–86.0 Overlap 1.63 pts Actual: PHX 70, DAL 85

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

PHX 81.8–84.7 DAL 83.4–85.8 Overlap 1.33 pts Actual: PHX 70, DAL 85

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-8.53
p-value
1.12e-14

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 — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.2–85.3 82.7–87.9 2.66 pts Yes No
90% 81.5–85.2 83.1–87.5 2.12 pts Yes No
85% 81.9–85.1 83.4–87.2 1.69 pts Yes No
80% 82.2–85.0 83.6–87.0 1.39 pts Yes No
75% 82.4–84.8 83.8–86.8 1.01 pts Yes No
Reg — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.0–85.6 82.3–88.7 3.3 pts No
90% 81.4–85.2 82.8–88.2 2.42 pts No
85% 81.6–85.0 83.1–87.8 1.84 pts No
80% 81.8–84.8 83.4–87.6 1.4 pts No
75% 81.9–84.6 83.6–87.3 1.03 pts No
Dr. Wallace — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.3–85.9 82.6–87.6 3.32 pts No
90% 81.7–85.6 83.0–87.2 2.55 pts No
85% 81.9–85.3 83.3–86.9 2.05 pts No
80% 82.1–85.1 83.5–86.7 1.66 pts No
75% 82.3–85.0 83.6–86.6 1.34 pts No
Kevin — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.3–86.1 82.8–87.4 3.34 pts Yes No
90% 81.7–85.8 83.5–87.2 2.3 pts Yes No
85% 82.0–85.5 83.8–86.6 1.75 pts Yes No
80% 82.2–85.3 83.8–86.5 1.49 pts Yes No
75% 82.3–85.2 84.0–86.4 1.2 pts Yes No
Dr. Lila Shah — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.4–86.1 81.3–86.4 4.64 pts No
90% 81.8–85.7 81.7–86.0 3.89 pts No
85% 82.0–85.4 82.0–85.8 3.41 pts No
80% 82.2–85.3 82.2–85.6 3.03 pts No
75% 82.4–85.1 82.4–85.4 2.72 pts No
Ice — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.2–86.4 82.2–87.7 4.23 pts No
90% 81.6–86.0 82.6–87.2 3.37 pts No
85% 81.9–85.7 82.9–87.0 2.81 pts No
80% 82.1–85.5 83.2–86.7 2.38 pts No
75% 82.3–85.4 83.3–86.5 2.02 pts No
Jamal — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.6–86.1 81.8–87.5 4.35 pts No
90% 81.9–85.7 82.2–87.1 3.52 pts No
85% 82.2–85.5 82.5–86.8 2.98 pts No
80% 82.4–85.3 82.8–86.5 2.57 pts No
75% 82.5–85.2 83.0–86.3 2.22 pts No
Jordan — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.1–86.5 82.2–87.9 4.3 pts No
90% 81.6–86.1 82.6–87.5 3.4 pts No
85% 81.8–85.8 82.9–87.2 2.82 pts No
80% 82.1–85.6 83.2–86.9 2.38 pts No
75% 82.2–85.4 83.4–86.7 2.01 pts No
Darren "Dimes" Lin — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 82.0–86.0 83.3–87.4 2.7 pts Yes No
90% 82.2–85.6 83.4–87.0 2.2 pts Yes No
85% 82.4–85.3 83.6–86.8 1.8 pts Yes No
80% 82.4–85.3 83.6–86.7 1.64 pts Yes No
75% 82.5–85.2 83.7–86.7 1.44 pts Yes No
Maya Jefferson — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.4–85.9 82.3–87.5 3.64 pts No
90% 81.8–85.6 82.7–87.1 2.86 pts No
85% 82.0–85.3 83.0–86.8 2.35 pts No
80% 82.2–85.1 83.2–86.6 1.95 pts No
75% 82.4–85.0 83.4–86.5 1.63 pts No
Lexi — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 81.2–86.2 81.7–88.1 4.51 pts No
90% 81.6–85.8 82.2–87.6 3.6 pts No
85% 81.9–85.5 82.5–87.3 3.0 pts No
80% 82.1–85.3 82.8–87.0 2.54 pts No
75% 82.3–85.2 83.0–86.8 2.16 pts No
Coach Sarah Watanabe — PHX at DAL — Actual: PHX 70, DAL 85
Level PHX range DAL range Overlap Tol Warning Actual landed in range?
95% 80.8–85.8 82.6–86.7 3.2 pts No
90% 81.2–85.4 82.9–86.3 2.47 pts No
85% 81.5–85.1 83.1–86.1 2.0 pts No
80% 81.7–84.9 83.3–86.0 1.63 pts No
75% 81.8–84.7 83.4–85.8 1.33 pts No