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Dallas Wings at Golden State Valkyries

DAL 80 – GS 91

June 17, 2026 · Final

Dr. Lila Shah

Best model for this game

Dr. Lila Shah
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 DAL at GS

All 12 models’ predicted scores

DAL — one dot per model GS — one dot per model Actual: DAL 80, GS 91
Vince Chambers
DAL 82.9–87.0 GS 79.7–84.8 Overlap 1.95 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.3) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.2–86.7 GS 80.1–84.4 Overlap 1.21 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.3) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.4–86.5 GS 80.4–84.2 Overlap 0.72 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.3) — by 2.7 points. The ranges barely touch.

DAL 83.6–86.3 GS 80.6–84.0 Overlap 0.35 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.3) — by 2.7 points. The ranges barely touch.

DAL 83.7–86.2 GS 80.8–83.8 Overlap 0.04 pts Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.3) — by 2.7 points. The ranges barely touch.

Show the math
Model
Vince Chambers (#1)
t-statistic
16.62
p-value
4.83e-36

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
DAL 82.7–87.8 GS 79.1–85.2 Overlap 2.5 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Golden State Valkyries (avg. 82.2) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.1–87.4 GS 79.6–84.7 Overlap 1.6 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Golden State Valkyries (avg. 82.2) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.4–87.1 GS 79.9–84.4 Overlap 1.02 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Golden State Valkyries (avg. 82.2) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.6–86.9 GS 80.2–84.2 Overlap 0.57 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Golden State Valkyries (avg. 82.2) — by 3.1 points. The ranges barely touch.

DAL 83.8–86.7 GS 80.4–84.0 Overlap 0.19 pts Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.3) over Golden State Valkyries (avg. 82.2) — by 3.1 points. The ranges barely touch.

Show the math
Model
Reg (#2)
t-statistic
15.91
p-value
2.24e-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.

Dr. Wallace
DAL 82.3–87.1 GS 79.2–84.7 Overlap 2.47 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 82.0) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 82.6–86.7 GS 79.7–84.3 Overlap 1.64 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 82.0) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 82.9–86.5 GS 79.9–84.0 Overlap 1.1 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 82.0) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.1–86.3 GS 80.2–83.8 Overlap 0.68 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 82.0) — by 2.7 points. The ranges barely touch.

DAL 83.3–86.1 GS 80.3–83.6 Overlap 0.33 pts Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 82.0) — by 2.7 points. The ranges barely touch.

Show the math
Model
Dr. Wallace (#3)
t-statistic
15.09
p-value
2.09e-32

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
DAL 82.8–86.8 GS 79.9–84.4 Overlap 1.57 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.2–86.5 GS 80.3–84.1 Overlap 0.89 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges barely touch.

DAL 83.4–86.3 GS 80.5–83.8 Overlap 0.45 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges barely touch.

DAL 83.5–86.1 GS 80.7–83.6 Overlap 0.1 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges barely touch.

DAL 83.7–86.0 GS 80.8–83.5 No overlap Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
18.15
p-value
2.03e-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. Lila Shah
DAL 81.7–87.0 GS 79.1–85.0 Overlap 3.26 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.4) over Golden State Valkyries (avg. 82.0) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

DAL 82.1–86.6 GS 79.5–84.5 Overlap 2.36 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.4) over Golden State Valkyries (avg. 82.0) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

DAL 82.4–86.3 GS 79.9–84.2 Overlap 1.78 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.4) over Golden State Valkyries (avg. 82.0) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

DAL 82.6–86.1 GS 80.1–84.0 Overlap 1.33 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.4) over Golden State Valkyries (avg. 82.0) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

DAL 82.8–85.9 GS 80.3–83.8 Overlap 0.95 pts Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.4) over Golden State Valkyries (avg. 82.0) — by 2.3 points. The ranges barely touch.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
12.00
p-value
5.40e-24

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
DAL 82.5–86.5 GS 79.4–84.3 Overlap 1.77 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 82.9–86.2 GS 79.8–83.9 Overlap 1.06 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.1–86.0 GS 80.1–83.7 Overlap 0.6 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges barely touch.

DAL 83.2–85.8 GS 80.2–83.5 Overlap 0.24 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges barely touch.

DAL 83.4–85.7 GS 80.4–83.3 No overlap Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
17.24
p-value
1.10e-37

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
DAL 82.4–86.8 GS 79.4–84.5 Overlap 2.08 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 82.7–86.5 GS 79.8–84.1 Overlap 1.31 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.0–86.2 GS 80.0–83.8 Overlap 0.81 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges barely touch.

DAL 83.2–86.1 GS 80.3–83.6 Overlap 0.43 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges barely touch.

DAL 83.3–85.9 GS 80.4–83.4 Overlap 0.11 pts Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.7 points. The ranges barely touch.

Show the math
Model
Jamal (#7)
t-statistic
16.27
p-value
1.67e-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.

Jordan
DAL 82.4–86.9 GS 79.3–84.1 Overlap 1.7 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.7) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

DAL 82.8–86.5 GS 79.7–83.7 Overlap 0.96 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.7) — by 2.9 points. The ranges barely touch.

DAL 83.0–86.3 GS 80.0–83.5 Overlap 0.47 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.7) — by 2.9 points. The ranges barely touch.

DAL 83.2–86.1 GS 80.2–83.3 Overlap 0.1 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.7) — by 2.9 points. The ranges barely touch.

DAL 83.3–86.0 GS 80.3–83.1 No overlap Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.7) — by 2.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
18.26
p-value
6.43e-41

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
DAL 82.7–86.8 GS 79.2–84.5 Overlap 1.8 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 81.8) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

DAL 83.0–86.4 GS 79.6–84.1 Overlap 1.05 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 81.8) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

DAL 83.2–86.2 GS 79.9–83.8 Overlap 0.56 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 81.8) — by 2.9 points. The ranges barely touch.

DAL 83.4–86.1 GS 80.1–83.6 Overlap 0.18 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 81.8) — by 2.9 points. The ranges barely touch.

DAL 83.5–85.9 GS 80.3–83.4 No overlap Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Golden State Valkyries (avg. 81.8) — by 2.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
17.64
p-value
1.83e-38

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
DAL 82.0–87.3 GS 79.4–84.3 Overlap 2.26 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.8 points. The ranges overlap some — there's real uncertainty here.

DAL 82.4–86.8 GS 79.8–83.9 Overlap 1.45 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.8 points. The ranges overlap some — there's real uncertainty here.

DAL 82.7–86.6 GS 80.1–83.6 Overlap 0.92 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.8 points. The ranges barely touch.

DAL 82.9–86.3 GS 80.3–83.4 Overlap 0.52 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.8 points. The ranges barely touch.

DAL 83.1–86.2 GS 80.4–83.3 Overlap 0.18 pts Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.6) over Golden State Valkyries (avg. 81.9) — by 2.8 points. The ranges barely touch.

Show the math
Model
Maya Jefferson (#10)
t-statistic
15.92
p-value
1.01e-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.

Lexi
DAL 82.7–87.0 GS 79.7–84.7 Overlap 1.98 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.1–86.7 GS 80.1–84.3 Overlap 1.23 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges overlap some — there's real uncertainty here.

DAL 83.3–86.5 GS 80.3–84.0 Overlap 0.74 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges barely touch.

DAL 83.5–86.3 GS 80.5–83.8 Overlap 0.36 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges barely touch.

DAL 83.6–86.2 GS 80.7–83.7 Overlap 0.05 pts Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Golden State Valkyries (avg. 82.2) — by 2.7 points. The ranges barely touch.

Show the math
Model
Lexi (#11)
t-statistic
16.62
p-value
2.32e-36

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 Tol Warning
DAL 82.9–86.7 GS 80.3–84.1 Overlap 1.21 pts Actual: DAL 80, GS 91

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.3) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

DAL 83.2–86.4 GS 80.8–83.8 Overlap 0.68 pts Actual: DAL 80, GS 91

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.3) — by 2.5 points. The ranges barely touch.

DAL 83.4–86.2 GS 80.8–83.8 Overlap 0.43 pts Actual: DAL 80, GS 91

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.3) — by 2.5 points. The ranges barely touch.

DAL 83.5–86.1 GS 80.9–83.7 Overlap 0.15 pts Actual: DAL 80, GS 91

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.3) — by 2.5 points. The ranges barely touch.

DAL 83.7–85.9 GS 81.0–83.6 No overlap Actual: DAL 80, GS 91

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Golden State Valkyries (avg. 82.3) — by 2.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
15.29
p-value
4.19e-32

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 — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.9–87.0 79.7–84.8 1.95 pts — No
90% 83.2–86.7 80.1–84.4 1.21 pts — No
85% 83.4–86.5 80.4–84.2 0.72 pts — No
80% 83.6–86.3 80.6–84.0 0.35 pts — No
75% 83.7–86.2 80.8–83.8 0.04 pts — No
Reg — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.7–87.8 79.1–85.2 2.5 pts — No
90% 83.1–87.4 79.6–84.7 1.6 pts — No
85% 83.4–87.1 79.9–84.4 1.02 pts — No
80% 83.6–86.9 80.2–84.2 0.57 pts — No
75% 83.8–86.7 80.4–84.0 0.19 pts — No
Dr. Wallace — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.3–87.1 79.2–84.7 2.47 pts — No
90% 82.6–86.7 79.7–84.3 1.64 pts — No
85% 82.9–86.5 79.9–84.0 1.1 pts — No
80% 83.1–86.3 80.2–83.8 0.68 pts — No
75% 83.3–86.1 80.3–83.6 0.33 pts — No
Kevin — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.8–86.8 79.9–84.4 1.57 pts — No
90% 83.2–86.5 80.3–84.1 0.89 pts — No
85% 83.4–86.3 80.5–83.8 0.45 pts — No
80% 83.5–86.1 80.7–83.6 0.1 pts — No
75% 83.7–86.0 80.8–83.5 — pts — No
Dr. Lila Shah — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 81.7–87.0 79.1–85.0 3.26 pts — No
90% 82.1–86.6 79.5–84.5 2.36 pts — No
85% 82.4–86.3 79.9–84.2 1.78 pts — No
80% 82.6–86.1 80.1–84.0 1.33 pts — No
75% 82.8–85.9 80.3–83.8 0.95 pts — No
Ice — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.5–86.5 79.4–84.3 1.77 pts — No
90% 82.9–86.2 79.8–83.9 1.06 pts — No
85% 83.1–86.0 80.1–83.7 0.6 pts — No
80% 83.2–85.8 80.2–83.5 0.24 pts — No
75% 83.4–85.7 80.4–83.3 — pts — No
Jamal — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.4–86.8 79.4–84.5 2.08 pts — No
90% 82.7–86.5 79.8–84.1 1.31 pts — No
85% 83.0–86.2 80.0–83.8 0.81 pts — No
80% 83.2–86.1 80.3–83.6 0.43 pts — No
75% 83.3–85.9 80.4–83.4 0.11 pts — No
Jordan — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.4–86.9 79.3–84.1 1.7 pts — No
90% 82.8–86.5 79.7–83.7 0.96 pts — No
85% 83.0–86.3 80.0–83.5 0.47 pts — No
80% 83.2–86.1 80.2–83.3 0.1 pts — No
75% 83.3–86.0 80.3–83.1 — pts — No
Darren "Dimes" Lin — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.7–86.8 79.2–84.5 1.8 pts — No
90% 83.0–86.4 79.6–84.1 1.05 pts — No
85% 83.2–86.2 79.9–83.8 0.56 pts — No
80% 83.4–86.1 80.1–83.6 0.18 pts — No
75% 83.5–85.9 80.3–83.4 — pts — No
Maya Jefferson — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.0–87.3 79.4–84.3 2.26 pts — No
90% 82.4–86.8 79.8–83.9 1.45 pts — No
85% 82.7–86.6 80.1–83.6 0.92 pts — No
80% 82.9–86.3 80.3–83.4 0.52 pts — No
75% 83.1–86.2 80.4–83.3 0.18 pts — No
Lexi — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.7–87.0 79.7–84.7 1.98 pts — No
90% 83.1–86.7 80.1–84.3 1.23 pts — No
85% 83.3–86.5 80.3–84.0 0.74 pts — No
80% 83.5–86.3 80.5–83.8 0.36 pts — No
75% 83.6–86.2 80.7–83.7 0.05 pts — No
Coach Sarah Watanabe — DAL at GS — Actual: DAL 80, GS 91
Level DAL range GS range Overlap Tol Warning Actual landed in range?
95% 82.9–86.7 80.3–84.1 1.21 pts Yes No
90% 83.2–86.4 80.8–83.8 0.68 pts Yes No
85% 83.4–86.2 80.8–83.8 0.43 pts Yes No
80% 83.5–86.1 80.9–83.7 0.15 pts Yes No
75% 83.7–85.9 81.0–83.6 — pts Yes No