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Alba Racing

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Season 01 (this season)Preseason 01 Preseason 00

Cores

Table Who they field Core vs core Best matchups 1v1 head-to-head

Each core's best 3 races and up to 3 where it's below average (3+ races there).

Core	Races	Earns the point	Best races	Needs work
Screaming Jet	375	1.1× avg	1800m 6 gate WTA wins 50% (avg 17%) · 6 1800m 12 gate madness top 3 60% (avg 25%) · 5 1000m 24 gate madness top 3 27% (avg 13%) · 11	2000m 4 gate WTA wins 0.0% (avg 25%) · 6 1400m 24 gate madness top 3 0.0% (avg 13%) · 10 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 29
Witty Wheeler	374	1.0× avg	1400m 16 gate WTA wins 25% (avg 6.3%) · 16 1800m 12 gate WTA wins 67% (avg 8.3%) · 3 1600m 24 gate WTA wins 10% (avg 4.2%) · 29	1600m 4 gate WTA wins 0.0% (avg 25%) · 6 1200m 24 gate madness top 3 0.0% (avg 13%) · 9 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 16
Rocket Dash	325	1.4× avg	1200m 24 gate madness top 3 44% (avg 13%) · 9 1600m 24 gate WTA wins 14% (avg 4.2%) · 29 1200m 24 gate WTA wins 25% (avg 4.2%) · 8	1200m 6 gate madness top 3 23% (avg 50%) · 13 2200m 24 gate madness top 3 8.6% (avg 13%) · 35 1000m 12 gate madness top 3 14% (avg 25%) · 7
Wrist Rocket	324	0.9× avg	1800m 24 gate madness top 3 32% (avg 13%) · 22 1200m 22 gate WTA wins 20% (avg 4.5%) · 10 2000m 22 gate WTA wins 13% (avg 4.5%) · 15	1400m 12 gate madness top 3 0.0% (avg 25%) · 7 1400m 24 gate madness top 3 0.0% (avg 13%) · 10 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 16
Don't Look Back In Anger	319	1.1× avg	1000m 24 gate madness top 3 36% (avg 13%) · 11 1600m 16 gate WTA wins 25% (avg 6.3%) · 8 1000m 12 gate madness top 3 43% (avg 25%) · 7	1400m 24 gate madness top 3 0.0% (avg 13%) · 10 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 16 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 16
Morgan le Fay	316	1.2× avg	1600m 6 gate WTA wins 57% (avg 17%) · 7 2200m 22 gate WTA wins 40% (avg 4.5%) · 5 1200m 24 gate WTA wins 25% (avg 4.2%) · 8	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 16 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 15 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 8
Cranky	293	1.1× avg	1800m 24 gate madness top 3 32% (avg 13%) · 22 2000m 6 gate WTA wins 25% (avg 17%) · 24 1800m 24 gate WTA wins 13% (avg 4.2%) · 8	1800m 6 gate WTA wins 0.0% (avg 17%) · 6 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 16 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 16
Dandy Blossom in my pants	275	0.5× avg	1000m 22 gate WTA wins 6.3% (avg 4.5%) · 16 1400m 12 gate madness top 3 29% (avg 25%) · 7 1000m 12 gate madness top 3 29% (avg 25%) · 7	2200m 24 gate madness top 3 2.9% (avg 13%) · 35 1400m 24 gate madness top 3 0.0% (avg 13%) · 10 1200m 24 gate madness top 3 0.0% (avg 13%) · 9
Danger	238	1.0× avg	2200m 16 gate WTA wins 19% (avg 6.3%) · 16 2200m 24 gate madness top 3 26% (avg 13%) · 35 2000m 22 gate WTA wins 13% (avg 4.5%) · 15	1000m 12 gate madness top 3 0.0% (avg 25%) · 7 2200m 6 gate madness top 3 17% (avg 50%) · 12 2200m 4 gate WTA wins 13% (avg 25%) · 16
Chumbawamba	223	1.0× avg	1400m 24 gate madness top 3 40% (avg 13%) · 10 1200m 24 gate madness top 3 33% (avg 13%) · 9 1000m 22 gate WTA wins 13% (avg 4.5%) · 16	1000m 4 gate WTA wins 6.3% (avg 25%) · 16 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 29 1200m 6 gate WTA wins 0.0% (avg 17%) · 6
Big Blind Bluff	197	1.5× avg	1000m 16 gate WTA wins 30% (avg 6.3%) · 10 1400m 22 gate WTA wins 29% (avg 4.5%) · 7 1200m 22 gate WTA wins 20% (avg 4.5%) · 10	2200m 24 gate madness top 3 0.0% (avg 13%) · 10 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 16 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
Speed Storm	164	0.5× avg	1200m 24 gate WTA wins 13% (avg 4.2%) · 8 1800m 6 gate madness top 3 50% (avg 50%) · 12	2200m 24 gate madness top 3 0.0% (avg 13%) · 15 1600m 6 gate madness top 3 17% (avg 50%) · 6 1800m 24 gate madness top 3 4.5% (avg 13%) · 22
Astraya	157	0.1× avg	1600m 24 gate WTA wins 5.3% (avg 4.2%) · 19	2200m 24 gate madness top 3 0.0% (avg 13%) · 22 1800m 24 gate madness top 3 0.0% (avg 13%) · 13 2000m 12 gate madness top 3 0.0% (avg 25%) · 4
The Shuffler	131	1.3× avg	1200m 12 gate WTA wins 67% (avg 8.3%) · 3 1200m 24 gate madness top 3 33% (avg 13%) · 9 1000m 22 gate WTA wins 13% (avg 4.5%) · 16	1000m 16 gate WTA wins 0.0% (avg 6.3%) · 10 2200m 24 gate madness top 3 0.0% (avg 13%) · 4 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 10
Lightning Crashes	94	0.5× avg	1200m 24 gate WTA wins 33% (avg 4.2%) · 3 1200m 24 gate madness top 3 33% (avg 13%) · 3 1600m 24 gate WTA wins 10% (avg 4.2%) · 10	1800m 24 gate madness top 3 0.0% (avg 13%) · 9 1400m 24 gate madness top 3 0.0% (avg 13%) · 4 1000m 24 gate madness top 3 0.0% (avg 13%) · 4
Jumbled Jeans	85	1.5× avg	2000m 22 gate WTA wins 27% (avg 4.5%) · 15 2200m 22 gate WTA wins 20% (avg 4.5%) · 5 2000m 12 gate madness top 3 33% (avg 25%) · 12	1800m 24 gate madness top 3 9.1% (avg 13%) · 22

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.

Flying Skulls: Power 56.4, #12. 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).