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Minnesota Lynx at Connecticut Sun

MIN 86 – CON 80

July 8, 2026 · Final

Vince Chambers

Best model for this game

Vince Chambers
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 MIN at CON

All 12 models’ predicted scores

MIN — one dot per model CON — one dot per model Actual: MIN 86, CON 80
Vince Chambers
MIN 85.5–90.1 CON 79.8–83.7 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.8) — by 6.0 points. The 95% ranges don't overlap at all — a confident model.

MIN 85.9–89.7 CON 80.2–83.4 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.8) — by 6.0 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.1–89.5 CON 80.4–83.2 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.8) — by 6.0 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.3–89.3 CON 80.5–83.1 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.8) — by 6.0 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.5–89.1 CON 80.6–82.9 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.8) — by 6.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
44.19
p-value
1.10e-101

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
MIN 85.3–91.0 CON 79.2–84.0 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.6) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

MIN 85.7–90.6 CON 79.6–83.6 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.6) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.0–90.3 CON 79.9–83.4 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.6) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.3–90.0 CON 80.1–83.2 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.6) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.5–89.8 CON 80.2–83.0 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.6) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
38.75
p-value
1.68e-91

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
MIN 85.8–90.2 CON 79.4–83.6 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.5) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

MIN 86.1–89.8 CON 79.7–83.2 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.5) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.4–89.6 CON 80.0–83.0 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.5) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.5–89.4 CON 80.1–82.9 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.5) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.7–89.3 CON 80.3–82.7 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.5) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
47.36
p-value
2.38e-108

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
MIN 86.0–90.2 CON 79.7–83.7 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.7) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

MIN 86.3–89.9 CON 80.0–83.4 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.7) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.5–89.7 CON 80.2–83.2 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.7) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.7–89.5 CON 80.4–83.0 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.7) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.8–89.3 CON 80.5–82.9 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.1) over Connecticut Sun (avg. 81.7) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
48.44
p-value
4.28e-110

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
MIN 85.6–89.7 CON 78.7–82.9 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.6) over Connecticut Sun (avg. 80.8) — by 6.9 points. The 95% ranges don't overlap at all — a confident model.

MIN 85.9–89.4 CON 79.0–82.5 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.6) over Connecticut Sun (avg. 80.8) — by 6.9 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.1–89.2 CON 79.2–82.3 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.6) over Connecticut Sun (avg. 80.8) — by 6.9 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.3–89.0 CON 79.4–82.1 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.6) over Connecticut Sun (avg. 80.8) — by 6.9 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.4–88.9 CON 79.5–82.0 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.6) over Connecticut Sun (avg. 80.8) — by 6.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
51.93
p-value
9.86e-116

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
MIN 85.6–89.8 CON 79.7–83.5 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.7) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 95% ranges don't overlap at all — a confident model.

MIN 85.9–89.5 CON 80.0–83.2 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.7) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.1–89.2 CON 80.2–83.0 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.7) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.3–89.1 CON 80.3–82.9 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.7) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.4–88.9 CON 80.5–82.7 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.7) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
47.14
p-value
9.81e-108

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
MIN 86.8–90.1 CON 80.3–83.2 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.8) — by 6.2 points. The 95% ranges don't overlap at all — a confident model.

MIN 86.9–89.7 CON 80.4–83.0 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.8) — by 6.2 points. The 90% ranges don't overlap at all — a confident model.

MIN 87.0–89.4 CON 80.4–83.0 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.8) — by 6.2 points. The 85% ranges don't overlap at all — a confident model.

MIN 87.0–89.3 CON 80.5–82.8 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.8) — by 6.2 points. The 80% ranges don't overlap at all — a confident model.

MIN 87.1–89.2 CON 80.6–82.7 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.8) — by 6.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
49.78
p-value
8.61e-112

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
MIN 86.4–89.8 CON 79.6–83.6 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 95% ranges don't overlap at all — a confident model.

MIN 86.5–89.2 CON 79.9–83.3 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.5–89.0 CON 80.2–83.1 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.5–88.9 CON 80.3–82.9 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.7–88.8 CON 80.4–82.8 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.8) over Connecticut Sun (avg. 81.6) — by 6.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
46.21
p-value
2.91e-106

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
MIN 85.7–90.4 CON 79.2–84.1 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.6) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

MIN 86.1–90.0 CON 79.6–83.7 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.6) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.3–89.8 CON 79.8–83.4 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.6) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.5–89.6 CON 80.0–83.2 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.6) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.7–89.4 CON 80.2–83.1 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.0) over Connecticut Sun (avg. 81.6) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
41.70
p-value
1.14e-98

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
MIN 86.3–90.2 CON 79.6–83.2 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.5) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

MIN 86.5–89.6 CON 80.0–82.9 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.5) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.8–89.2 CON 80.2–82.7 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.5) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.9–89.0 CON 80.3–82.6 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.5) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

MIN 87.0–89.0 CON 80.4–82.5 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.5) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
43.86
p-value
1.66e-102

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
MIN 85.5–90.2 CON 79.7–83.6 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.7) — by 6.2 points. The 95% ranges don't overlap at all — a confident model.

MIN 85.9–89.8 CON 80.0–83.3 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.7) — by 6.2 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.1–89.6 CON 80.2–83.1 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.7) — by 6.2 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.3–89.4 CON 80.4–82.9 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.7) — by 6.2 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.5–89.2 CON 80.5–82.8 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 87.9) over Connecticut Sun (avg. 81.7) — by 6.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
45.06
p-value
4.84e-103

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
MIN 85.6–91.2 CON 79.4–83.8 No overlap Actual: MIN 86, CON 80

In 95 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.4) over Connecticut Sun (avg. 81.6) — by 6.8 points. The 95% ranges don't overlap at all — a confident model.

MIN 86.1–90.8 CON 79.8–83.4 No overlap Actual: MIN 86, CON 80

In 90 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.4) over Connecticut Sun (avg. 81.6) — by 6.8 points. The 90% ranges don't overlap at all — a confident model.

MIN 86.4–90.5 CON 80.0–83.2 No overlap Actual: MIN 86, CON 80

In 85 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.4) over Connecticut Sun (avg. 81.6) — by 6.8 points. The 85% ranges don't overlap at all — a confident model.

MIN 86.6–90.3 CON 80.2–83.0 No overlap Actual: MIN 86, CON 80

In 80 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.4) over Connecticut Sun (avg. 81.6) — by 6.8 points. The 80% ranges don't overlap at all — a confident model.

MIN 86.8–90.1 CON 80.3–82.9 No overlap Actual: MIN 86, CON 80

In 75 out of 100 simulated runs, leans Minnesota Lynx (avg. 88.4) over Connecticut Sun (avg. 81.6) — by 6.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
42.88
p-value
3.82e-97

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 — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.5–90.1 79.8–83.7 — pts Yes
90% 85.9–89.7 80.2–83.4 — pts No
85% 86.1–89.5 80.4–83.2 — pts No
80% 86.3–89.3 80.5–83.1 — pts No
75% 86.5–89.1 80.6–82.9 — pts No
Reg — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.3–91.0 79.2–84.0 — pts Yes
90% 85.7–90.6 79.6–83.6 — pts Yes
85% 86.0–90.3 79.9–83.4 — pts Yes
80% 86.3–90.0 80.1–83.2 — pts No
75% 86.5–89.8 80.2–83.0 — pts No
Dr. Wallace — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.8–90.2 79.4–83.6 — pts Yes
90% 86.1–89.8 79.7–83.2 — pts No
85% 86.4–89.6 80.0–83.0 — pts No
80% 86.5–89.4 80.1–82.9 — pts No
75% 86.7–89.3 80.3–82.7 — pts No
Kevin — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 86.0–90.2 79.7–83.7 — pts Yes
90% 86.3–89.9 80.0–83.4 — pts No
85% 86.5–89.7 80.2–83.2 — pts No
80% 86.7–89.5 80.4–83.0 — pts No
75% 86.8–89.3 80.5–82.9 — pts No
Dr. Lila Shah — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.6–89.7 78.7–82.9 — pts Yes
90% 85.9–89.4 79.0–82.5 — pts Yes
85% 86.1–89.2 79.2–82.3 — pts No
80% 86.3–89.0 79.4–82.1 — pts No
75% 86.4–88.9 79.5–82.0 — pts No
Ice — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.6–89.8 79.7–83.5 — pts Yes
90% 85.9–89.5 80.0–83.2 — pts Yes
85% 86.1–89.2 80.2–83.0 — pts No
80% 86.3–89.1 80.3–82.9 — pts No
75% 86.4–88.9 80.5–82.7 — pts No
Jamal — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 86.8–90.1 80.3–83.2 — pts No
90% 86.9–89.7 80.4–83.0 — pts No
85% 87.0–89.4 80.4–83.0 — pts No
80% 87.0–89.3 80.5–82.8 — pts No
75% 87.1–89.2 80.6–82.7 — pts No
Jordan — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 86.4–89.8 79.6–83.6 — pts No
90% 86.5–89.2 79.9–83.3 — pts No
85% 86.5–89.0 80.2–83.1 — pts No
80% 86.5–88.9 80.3–82.9 — pts No
75% 86.7–88.8 80.4–82.8 — pts No
Darren "Dimes" Lin — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.7–90.4 79.2–84.1 — pts Yes
90% 86.1–90.0 79.6–83.7 — pts No
85% 86.3–89.8 79.8–83.4 — pts No
80% 86.5–89.6 80.0–83.2 — pts No
75% 86.7–89.4 80.2–83.1 — pts No
Maya Jefferson — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 86.3–90.2 79.6–83.2 — pts No
90% 86.5–89.6 80.0–82.9 — pts No
85% 86.8–89.2 80.2–82.7 — pts No
80% 86.9–89.0 80.3–82.6 — pts No
75% 87.0–89.0 80.4–82.5 — pts No
Lexi — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.5–90.2 79.7–83.6 — pts Yes
90% 85.9–89.8 80.0–83.3 — pts Yes
85% 86.1–89.6 80.2–83.1 — pts No
80% 86.3–89.4 80.4–82.9 — pts No
75% 86.5–89.2 80.5–82.8 — pts No
Coach Sarah Watanabe — MIN at CON — Actual: MIN 86, CON 80
Level MIN range CON range Overlap Tol Warning Actual landed in range?
95% 85.6–91.2 79.4–83.8 — pts Yes
90% 86.1–90.8 79.8–83.4 — pts No
85% 86.4–90.5 80.0–83.2 — pts No
80% 86.6–90.3 80.2–83.0 — pts No
75% 86.8–90.1 80.3–82.9 — pts No