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Golden State Valkyries at Atlanta Dream

GS 88 – ATL 83

July 4, 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 GS at ATL

All 12 models’ predicted scores

GS — one dot per model ATL — one dot per model Actual: GS 88, ATL 83
Vince Chambers
GS 77.9–83.9 ATL 85.5–89.8 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

GS 78.4–83.4 ATL 85.7–89.1 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

GS 78.7–83.1 ATL 86.0–88.8 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

GS 79.0–82.9 ATL 86.1–88.5 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

GS 79.2–82.7 ATL 86.2–88.4 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
-37.83
p-value
3.88e-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.

Reg
GS 77.9–84.0 ATL 84.6–90.0 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 81.0) — by 6.3 points. The 95% ranges don't overlap at all — a confident model.

GS 78.4–83.6 ATL 85.0–89.5 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 81.0) — by 6.3 points. The 90% ranges don't overlap at all — a confident model.

GS 78.8–83.2 ATL 85.3–89.3 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 81.0) — by 6.3 points. The 85% ranges don't overlap at all — a confident model.

GS 79.0–83.0 ATL 85.5–89.0 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 81.0) — by 6.3 points. The 80% ranges don't overlap at all — a confident model.

GS 79.2–82.8 ATL 85.7–88.9 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 81.0) — by 6.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
-34.88
p-value
1.12e-86

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
GS 77.9–83.7 ATL 85.1–89.5 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.8) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

GS 78.4–83.2 ATL 85.5–89.2 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.8) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

GS 78.7–82.9 ATL 85.7–88.9 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.8) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

GS 78.9–82.7 ATL 85.9–88.7 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.8) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

GS 79.1–82.5 ATL 86.0–88.6 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.8) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-40.38
p-value
1.28e-94

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
GS 77.6–84.1 ATL 85.0–89.7 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

GS 78.1–83.6 ATL 85.3–89.3 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

GS 78.5–83.2 ATL 85.6–89.0 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

GS 78.7–83.0 ATL 85.8–88.9 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

GS 79.0–82.8 ATL 85.9–88.7 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.3) over Golden State Valkyries (avg. 80.9) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
-36.33
p-value
7.99e-86

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
GS 78.1–84.2 ATL 84.1–88.8 Overlap 0.05 pts Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 86.5) over Golden State Valkyries (avg. 81.2) — by 5.3 points. The ranges barely touch.

GS 78.6–83.7 ATL 84.5–88.5 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 86.5) over Golden State Valkyries (avg. 81.2) — by 5.3 points. The 90% ranges don't overlap at all — a confident model.

GS 78.9–83.4 ATL 84.8–88.2 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 86.5) over Golden State Valkyries (avg. 81.2) — by 5.3 points. The 85% ranges don't overlap at all — a confident model.

GS 79.2–83.1 ATL 85.0–88.0 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 86.5) over Golden State Valkyries (avg. 81.2) — by 5.3 points. The 80% ranges don't overlap at all — a confident model.

GS 79.4–82.9 ATL 85.1–87.9 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 86.5) over Golden State Valkyries (avg. 81.2) — by 5.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-31.19
p-value
2.83e-76

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
GS 78.0–83.5 ATL 84.7–89.2 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 95% ranges don't overlap at all — a confident model.

GS 78.5–83.1 ATL 85.1–88.9 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 90% ranges don't overlap at all — a confident model.

GS 78.8–82.8 ATL 85.3–88.6 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 85% ranges don't overlap at all — a confident model.

GS 79.0–82.6 ATL 85.5–88.5 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 80% ranges don't overlap at all — a confident model.

GS 79.2–82.4 ATL 85.7–88.3 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
-39.02
p-value
2.04e-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.

Jamal
GS 77.5–83.9 ATL 84.6–89.9 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

GS 78.1–83.4 ATL 85.0–89.5 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

GS 78.4–83.0 ATL 85.3–89.2 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

GS 78.6–82.8 ATL 85.5–89.0 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

GS 78.9–82.6 ATL 85.7–88.8 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
-35.56
p-value
7.55e-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.

Jordan
GS 78.0–83.6 ATL 84.7–89.3 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 95% ranges don't overlap at all — a confident model.

GS 78.4–83.1 ATL 85.1–88.9 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 90% ranges don't overlap at all — a confident model.

GS 78.7–82.8 ATL 85.3–88.7 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 85% ranges don't overlap at all — a confident model.

GS 78.9–82.6 ATL 85.5–88.5 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 80% ranges don't overlap at all — a confident model.

GS 79.1–82.4 ATL 85.6–88.3 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
-38.55
p-value
2.58e-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.

Darren "Dimes" Lin
GS 77.8–83.7 ATL 84.8–89.2 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 95% ranges don't overlap at all — a confident model.

GS 78.3–83.3 ATL 85.2–88.9 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 90% ranges don't overlap at all — a confident model.

GS 78.6–83.0 ATL 85.4–88.6 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 85% ranges don't overlap at all — a confident model.

GS 78.9–82.7 ATL 85.6–88.5 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 80% ranges don't overlap at all — a confident model.

GS 79.1–82.5 ATL 85.7–88.3 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.0) over Golden State Valkyries (avg. 80.8) — by 6.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-38.10
p-value
2.61e-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.

Maya Jefferson
GS 78.0–83.5 ATL 84.7–89.5 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.1) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

GS 78.4–83.1 ATL 85.1–89.2 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.1) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

GS 78.7–82.8 ATL 85.3–88.9 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.1) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

GS 78.9–82.5 ATL 85.5–88.7 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.1) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

GS 79.1–82.3 ATL 85.7–88.5 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.1) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-38.91
p-value
2.05e-94

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
GS 77.9–83.6 ATL 84.8–89.5 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

GS 78.4–83.1 ATL 85.2–89.2 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

GS 78.7–82.8 ATL 85.5–88.9 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

GS 78.9–82.6 ATL 85.7–88.7 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

GS 79.1–82.4 ATL 85.8–88.6 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.2) over Golden State Valkyries (avg. 80.7) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
-39.50
p-value
1.39e-94

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
GS 76.7–83.6 ATL 85.4–90.7 No overlap Actual: GS 88, ATL 83

In 95 out of 100 simulated runs, leans Atlanta Dream (avg. 87.4) over Golden State Valkyries (avg. 80.2) — by 7.2 points. The 95% ranges don't overlap at all — a confident model.

GS 77.3–83.1 ATL 85.7–89.7 No overlap Actual: GS 88, ATL 83

In 90 out of 100 simulated runs, leans Atlanta Dream (avg. 87.4) over Golden State Valkyries (avg. 80.2) — by 7.2 points. The 90% ranges don't overlap at all — a confident model.

GS 77.6–82.7 ATL 85.9–89.4 No overlap Actual: GS 88, ATL 83

In 85 out of 100 simulated runs, leans Atlanta Dream (avg. 87.4) over Golden State Valkyries (avg. 80.2) — by 7.2 points. The 85% ranges don't overlap at all — a confident model.

GS 77.9–82.4 ATL 86.0–89.1 No overlap Actual: GS 88, ATL 83

In 80 out of 100 simulated runs, leans Atlanta Dream (avg. 87.4) over Golden State Valkyries (avg. 80.2) — by 7.2 points. The 80% ranges don't overlap at all — a confident model.

GS 78.2–82.2 ATL 86.0–88.8 No overlap Actual: GS 88, ATL 83

In 75 out of 100 simulated runs, leans Atlanta Dream (avg. 87.4) over Golden State Valkyries (avg. 80.2) — by 7.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-35.65
p-value
1.69e-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.

View as table
Vince Chambers — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 77.9–83.9 85.5–89.8 — pts — No
90% 78.4–83.4 85.7–89.1 — pts — No
85% 78.7–83.1 86.0–88.8 — pts — No
80% 79.0–82.9 86.1–88.5 — pts — No
75% 79.2–82.7 86.2–88.4 — pts — No
Reg — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 77.9–84.0 84.6–90.0 — pts — No
90% 78.4–83.6 85.0–89.5 — pts — No
85% 78.8–83.2 85.3–89.3 — pts — No
80% 79.0–83.0 85.5–89.0 — pts — No
75% 79.2–82.8 85.7–88.9 — pts — No
Dr. Wallace — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 77.9–83.7 85.1–89.5 — pts — No
90% 78.4–83.2 85.5–89.2 — pts — No
85% 78.7–82.9 85.7–88.9 — pts — No
80% 78.9–82.7 85.9–88.7 — pts — No
75% 79.1–82.5 86.0–88.6 — pts — No
Kevin — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 77.6–84.1 85.0–89.7 — pts — No
90% 78.1–83.6 85.3–89.3 — pts — No
85% 78.5–83.2 85.6–89.0 — pts — No
80% 78.7–83.0 85.8–88.9 — pts — No
75% 79.0–82.8 85.9–88.7 — pts — No
Dr. Lila Shah — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 78.1–84.2 84.1–88.8 0.05 pts — No
90% 78.6–83.7 84.5–88.5 — pts — No
85% 78.9–83.4 84.8–88.2 — pts — No
80% 79.2–83.1 85.0–88.0 — pts — No
75% 79.4–82.9 85.1–87.9 — pts — No
Ice — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 78.0–83.5 84.7–89.2 — pts — No
90% 78.5–83.1 85.1–88.9 — pts — No
85% 78.8–82.8 85.3–88.6 — pts — No
80% 79.0–82.6 85.5–88.5 — pts — No
75% 79.2–82.4 85.7–88.3 — pts — No
Jamal — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 77.5–83.9 84.6–89.9 — pts — No
90% 78.1–83.4 85.0–89.5 — pts — No
85% 78.4–83.0 85.3–89.2 — pts — No
80% 78.6–82.8 85.5–89.0 — pts — No
75% 78.9–82.6 85.7–88.8 — pts — No
Jordan — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 78.0–83.6 84.7–89.3 — pts — No
90% 78.4–83.1 85.1–88.9 — pts — No
85% 78.7–82.8 85.3–88.7 — pts — No
80% 78.9–82.6 85.5–88.5 — pts — No
75% 79.1–82.4 85.6–88.3 — pts — No
Darren "Dimes" Lin — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 77.8–83.7 84.8–89.2 — pts — No
90% 78.3–83.3 85.2–88.9 — pts — No
85% 78.6–83.0 85.4–88.6 — pts — No
80% 78.9–82.7 85.6–88.5 — pts — No
75% 79.1–82.5 85.7–88.3 — pts — No
Maya Jefferson — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 78.0–83.5 84.7–89.5 — pts — No
90% 78.4–83.1 85.1–89.2 — pts — No
85% 78.7–82.8 85.3–88.9 — pts — No
80% 78.9–82.5 85.5–88.7 — pts — No
75% 79.1–82.3 85.7–88.5 — pts — No
Lexi — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 77.9–83.6 84.8–89.5 — pts — No
90% 78.4–83.1 85.2–89.2 — pts — No
85% 78.7–82.8 85.5–88.9 — pts — No
80% 78.9–82.6 85.7–88.7 — pts — No
75% 79.1–82.4 85.8–88.6 — pts — No
Coach Sarah Watanabe — GS at ATL — Actual: GS 88, ATL 83
Level GS range ATL range Overlap Tol Warning Actual landed in range?
95% 76.7–83.6 85.4–90.7 — pts — No
90% 77.3–83.1 85.7–89.7 — pts — No
85% 77.6–82.7 85.9–89.4 — pts — No
80% 77.9–82.4 86.0–89.1 — pts — No
75% 78.2–82.2 86.0–88.8 — pts — No