Team report · all teams · beta

Scooter Gang

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Season 01 (this season)Preseason 01 Preseason 00

Cores

Table Who they field Core vs coreBest matchups1v1 head-to-head

Each core's best 3 races and up to 3 where it's below average (3+ races there). Pick a team in Compare with to unlock best matchups and 1v1 head-to-heads.

Core	Races	Earns the point	Best races	Needs work
La Femme Nikita	111	0.9× avg	1400m 24 gate WTA wins 40% (avg 4.2%) · 5 1800m 16 gate WTA wins 33% (avg 6.3%) · 3 1000m 16 gate WTA wins 20% (avg 6.3%) · 5	2000m 6 gate WTA wins 0.0% (avg 17%) · 15 1400m 4 gate WTA wins 0.0% (avg 25%) · 7 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 10
Stylish Ford	90	2.0× avg	1200m 6 gate WTA wins 50% (avg 17%) · 12 1400m 6 gate WTA wins 50% (avg 17%) · 8 2200m 16 gate WTA wins 20% (avg 6.3%) · 10	1400m 16 gate WTA wins 0.0% (avg 6.3%) · 10 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 5 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 5
Pantera	88	0.9× avg	1200m 24 gate WTA wins 20% (avg 4.2%) · 5 1400m 24 gate WTA wins 20% (avg 4.2%) · 5 1000m 4 gate WTA wins 30% (avg 25%) · 10	2000m 6 gate WTA wins 6.7% (avg 17%) · 15 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10
Wondrous Vista	73	0.3× avg	—	2000m 6 gate WTA wins 6.7% (avg 17%) · 15 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10
Fulgur	65	0.8× avg	1600m 24 gate WTA wins 12% (avg 4.2%) · 17 1000m 16 gate WTA wins 20% (avg 6.3%) · 5	1200m 6 gate WTA wins 0.0% (avg 17%) · 12 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 5 1000m 4 gate WTA wins 20% (avg 25%) · 10
Mr. Nobody	65	0.9× avg	1800m 24 gate WTA wins 33% (avg 4.2%) · 3 1200m 24 gate WTA wins 20% (avg 4.2%) · 5 1400m 16 gate WTA wins 10% (avg 6.3%) · 10	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 1200m 6 gate WTA wins 8.3% (avg 17%) · 12 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 5
Motherfugger	63	0.0× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 10
Speedfugger	63	0.0× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 10
Vix	61	1.2× avg	1600m 16 gate WTA wins 40% (avg 6.3%) · 5 1200m 24 gate WTA wins 20% (avg 4.2%) · 5 1600m 24 gate WTA wins 5.9% (avg 4.2%) · 17	2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 5 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 5
Selene	50	0.0× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 10 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 10
Spit on dat thang	40	0.0× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 10 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 5
Wrong Core	30	0.8× avg	1800m 24 gate WTA wins 33% (avg 4.2%) · 3	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 17 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 5 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 5

Earns the point: how often a core does what wins its team the round — wins the race (1v1, WTA) or finishes top 3 (madness) — against an average entrant (1 in 2 for a 1v1, 1 in 22 for a 22-gate WTA). In big fields only an outright fast time wins, so steady cores that “beat most of the field” can still rarely score there. Best / needs-work segments need 3+ races.

A round is one race of a map; whoever wins it gets the point. Win % here is the share of rounds won in each segment this Preseason 00, with each round weighted by how often maps reach it (most maps end by round 27–30).