Team report · Lower league

Alba Racing

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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
Screaming Jet	176	1.2× avg	2000m 12 gate madness top 3 42% (avg 25%) · 26 2000m 1v1 wins 67% (avg 50%) · 15 1800m 12 gate madness top 3 40% (avg 25%) · 5	1800m 6 gate madness top 3 40% (avg 50%) · 20 1800m 6 gate WTA wins 15% (avg 17%) · 13
Danger	130	0.9× avg	2200m 6 gate madness top 3 77% (avg 50%) · 13 2200m 6 gate WTA wins 27% (avg 17%) · 15 2200m 24 gate madness top 3 20% (avg 13%) · 15	1800m 4 gate WTA wins 6.7% (avg 25%) · 15 2000m 4 gate WTA wins 7.7% (avg 25%) · 13 1800m 12 gate madness top 3 0.0% (avg 25%) · 5
Morgan le Fay	118	1.1× avg	1800m 12 gate madness top 3 80% (avg 25%) · 5 1600m 6 gate madness top 3 82% (avg 50%) · 11 1600m 6 gate WTA wins 25% (avg 17%) · 8	2200m 24 gate madness top 3 0.0% (avg 13%) · 15 1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1600m 1v1 wins 42% (avg 50%) · 26
Witty Wheeler	116	1.0× avg	1600m 6 gate WTA wins 63% (avg 17%) · 8 1800m 24 gate madness top 3 31% (avg 13%) · 13 1400m 12 gate madness top 3 38% (avg 25%) · 13	1600m 4 gate WTA wins 0.0% (avg 25%) · 13 1600m 6 gate madness top 3 27% (avg 50%) · 11 1800m 6 gate madness top 3 45% (avg 50%) · 20
Cranky	113	1.5× avg	1800m 24 gate madness top 3 38% (avg 13%) · 13 2200m 24 gate madness top 3 27% (avg 13%) · 15 2000m 12 gate madness top 3 42% (avg 25%) · 26	2000m 6 gate WTA wins 7.7% (avg 17%) · 13 2200m 6 gate madness top 3 46% (avg 50%) · 13
Don't Look Back In Anger	86	1.0× avg	1000m 24 gate madness top 3 31% (avg 13%) · 13 1200m 4 gate WTA wins 38% (avg 25%) · 13 1000m 6 gate madness top 3 62% (avg 50%) · 13	1200m 24 gate madness top 3 0.0% (avg 13%) · 10 1000m 1v1 wins 23% (avg 50%) · 13 1200m 6 gate WTA wins 7.7% (avg 17%) · 13
Speed Storm	73	0.7× avg	1600m 6 gate madness top 3 55% (avg 50%) · 11 1800m 6 gate madness top 3 50% (avg 50%) · 18	2000m 12 gate madness top 3 0.0% (avg 25%) · 13 2200m 24 gate madness top 3 0.0% (avg 13%) · 13 1800m 24 gate madness top 3 0.0% (avg 13%) · 13
Chumbawamba	73	1.2× avg	1200m 24 gate madness top 3 30% (avg 13%) · 10 1200m 6 gate WTA wins 23% (avg 17%) · 13 1400m 12 gate madness top 3 31% (avg 25%) · 13	1000m 24 gate madness top 3 7.7% (avg 13%) · 13
Rocket Dash	73	1.3× avg	1200m 24 gate madness top 3 40% (avg 13%) · 10 1400m 12 gate madness top 3 46% (avg 25%) · 13 1200m 6 gate WTA wins 31% (avg 17%) · 13	1000m 12 gate madness top 3 9.1% (avg 25%) · 11 1000m 24 gate madness top 3 7.7% (avg 13%) · 13 1200m 4 gate WTA wins 23% (avg 25%) · 13
Astraya	65	0.2× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 15 1800m 24 gate madness top 3 0.0% (avg 13%) · 13 1600m 6 gate WTA wins 0.0% (avg 17%) · 8
Wrist Rocket	65	1.0× avg	1200m 24 gate madness top 3 20% (avg 13%) · 10 1000m 24 gate madness top 3 15% (avg 13%) · 13 2200m 24 gate madness top 3 13% (avg 13%) · 15	1400m 1v1 wins 40% (avg 50%) · 5 1400m 4 gate WTA wins 22% (avg 25%) · 9 1400m 12 gate madness top 3 23% (avg 25%) · 13
Pot Hunter	54	1.2× avg	2200m 24 gate madness top 3 40% (avg 13%) · 15	1800m 24 gate madness top 3 0.0% (avg 13%) · 13 2000m 12 gate madness top 3 23% (avg 25%) · 26
Jumbled Jeans	54	1.5× avg	1800m 24 gate madness top 3 31% (avg 13%) · 13 2000m 12 gate madness top 3 42% (avg 25%) · 26	2200m 24 gate madness top 3 0.0% (avg 13%) · 15
The Shuffler	49	1.0× avg	1000m 24 gate madness top 3 23% (avg 13%) · 13 1200m 24 gate madness top 3 20% (avg 13%) · 10 1000m 12 gate madness top 3 27% (avg 25%) · 11	1000m 6 gate madness top 3 31% (avg 50%) · 13
Big Blind Bluff	48	1.7× avg	1000m 24 gate madness top 3 31% (avg 13%) · 13 1000m 12 gate madness top 3 50% (avg 25%) · 10 2200m 24 gate madness top 3 13% (avg 13%) · 15	1200m 24 gate madness top 3 10% (avg 13%) · 10
Dandy Blossom in my pants	47	0.8× avg	1000m 24 gate madness top 3 23% (avg 13%) · 13	1200m 24 gate madness top 3 0.0% (avg 13%) · 10 1400m 12 gate madness top 3 15% (avg 25%) · 13 1000m 12 gate madness top 3 18% (avg 25%) · 11
Rosie Cheeks	41	0.9× avg	2000m 12 gate madness top 3 31% (avg 25%) · 13	2200m 24 gate madness top 3 6.7% (avg 13%) · 15 1800m 24 gate madness top 3 7.7% (avg 13%) · 13
Scarlett O'Hara	26	0.9× avg	1800m 24 gate madness top 3 15% (avg 13%) · 13	2200m 24 gate madness top 3 7.7% (avg 13%) · 13
Loo-hoo-zuh-her	23	0.7× avg	—	1000m 24 gate madness top 3 7.7% (avg 13%) · 13 1200m 24 gate madness top 3 10% (avg 13%) · 10
RAM JAM	23	0.7× avg	—	1000m 24 gate madness top 3 7.7% (avg 13%) · 13 1200m 24 gate madness top 3 10% (avg 13%) · 10
Hellfire Hannah	22	0.4× avg	—	1800m 24 gate madness top 3 0.0% (avg 13%) · 13 1200m 24 gate madness top 3 11% (avg 13%) · 9
Thnks fr th Mmrs	9	0.9× avg	—	1200m 24 gate madness top 3 11% (avg 13%) · 9

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 01, with each round weighted by how often maps reach it (most maps end by round 27–30).