Team report · Lower league

wisdom-weaver

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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
BOT Kane Vortex	198	1.4× avg	1800m 24 gate madness top 3 29% (avg 13%) · 24 2200m 24 gate madness top 3 24% (avg 13%) · 41 1600m 22 gate WTA wins 13% (avg 4.5%) · 16	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1200m 24 gate madness top 3 0.0% (avg 13%) · 5
BOT Drake Crimson	198	2.2× avg	2200m 24 gate madness top 3 39% (avg 13%) · 41 2000m 22 gate WTA wins 20% (avg 4.5%) · 25 1000m 22 gate WTA wins 13% (avg 4.5%) · 24	1200m 24 gate madness top 3 0.0% (avg 13%) · 5 1600m 24 gate madness top 3 0.0% (avg 13%) · 3 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Youthful Racer	198	0.2× avg	—	1800m 24 gate madness top 3 0.0% (avg 13%) · 24 1400m 24 gate madness top 3 0.0% (avg 13%) · 16 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 25
Blitz Gauntlet	190	1.0× avg	1000m 24 gate madness top 3 38% (avg 13%) · 8 1600m 24 gate madness top 3 33% (avg 13%) · 3 1400m 24 gate madness top 3 19% (avg 13%) · 16	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 25 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1200m 24 gate madness top 3 0.0% (avg 13%) · 5
Quasarbiker	145	1.4× avg	1800m 24 gate madness top 3 25% (avg 13%) · 24 1600m 22 gate WTA wins 13% (avg 4.5%) · 16 2200m 24 gate madness top 3 17% (avg 13%) · 41	1400m 24 gate madness top 3 6.3% (avg 13%) · 16 1600m 24 gate madness top 3 0.0% (avg 13%) · 3 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Arcane Kraken	124	0.0× avg	—	1800m 24 gate madness top 3 0.0% (avg 13%) · 24 1400m 24 gate madness top 3 0.0% (avg 13%) · 16 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 24
BOT Zed Blackthorn	124	1.4× avg	1000m 24 gate madness top 3 38% (avg 13%) · 8 1000m 22 gate WTA wins 13% (avg 4.5%) · 24 1600m 24 gate madness top 3 33% (avg 13%) · 3	1800m 24 gate madness top 3 4.2% (avg 13%) · 24 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 12
Wild Juggernaut	100	2.0× avg	1000m 22 gate WTA wins 17% (avg 4.5%) · 24 1600m 22 gate WTA wins 13% (avg 4.5%) · 16 1600m 24 gate madness top 3 33% (avg 13%) · 3	—
BOT Kael Stoneveil	100	3.2× avg	1400m 24 gate madness top 3 56% (avg 13%) · 16 1400m 22 gate WTA wins 25% (avg 4.5%) · 12 1600m 22 gate WTA wins 19% (avg 4.5%) · 16	1200m 24 gate madness top 3 0.0% (avg 13%) · 5
Jaded Prowler	98	1.2× avg	2200m 22 gate WTA wins 25% (avg 4.5%) · 8 2000m 22 gate WTA wins 12% (avg 4.5%) · 25 2200m 24 gate madness top 3 15% (avg 13%) · 41	1800m 24 gate madness top 3 4.2% (avg 13%) · 24
BOT Kane Ironclad	98	0.4× avg	2200m 22 gate WTA wins 13% (avg 4.5%) · 8	1800m 24 gate madness top 3 0.0% (avg 13%) · 24 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 25 2200m 24 gate madness top 3 7.3% (avg 13%) · 41
BOT Kael Shadowmourn	98	1.5× avg	2200m 24 gate madness top 3 22% (avg 13%) · 41 2200m 22 gate WTA wins 13% (avg 4.5%) · 8 1800m 24 gate madness top 3 13% (avg 13%) · 24	2000m 22 gate WTA wins 4.0% (avg 4.5%) · 25
Linen - clone	98	1.8× avg	1800m 24 gate madness top 3 29% (avg 13%) · 24 2000m 22 gate WTA wins 12% (avg 4.5%) · 25 2200m 24 gate madness top 3 17% (avg 13%) · 41	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Xcess	81	1.2× avg	1200m 24 gate madness top 3 40% (avg 13%) · 5 1400m 22 gate WTA wins 8.3% (avg 4.5%) · 12 1200m 22 gate WTA wins 6.3% (avg 4.5%) · 16	1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1000m 22 gate WTA wins 4.2% (avg 4.5%) · 24
ww-freak-01	74	0.9× avg	2200m 24 gate madness top 3 15% (avg 13%) · 41	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 25 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 8
BOT Juno Vortex	74	0.8× avg	2200m 22 gate WTA wins 13% (avg 4.5%) · 8	2200m 24 gate madness top 3 7.3% (avg 13%) · 41 2000m 22 gate WTA wins 4.0% (avg 4.5%) · 25
ww-y-04w	53	0.0× avg	—	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16
BOT Astra Frostfang	53	0.3× avg	1000m 24 gate madness top 3 13% (avg 13%) · 8	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1200m 24 gate madness top 3 0.0% (avg 13%) · 5
BOT Nova Shadowmourn	49	1.6× avg	2200m 24 gate madness top 3 20% (avg 13%) · 41 2200m 22 gate WTA wins 13% (avg 4.5%) · 8	—
Woven Cheetah	41	0.5× avg	1200m 24 gate madness top 3 20% (avg 13%) · 5	1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1400m 24 gate madness top 3 6.3% (avg 13%) · 16 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 12
Lethal Bandit	24	0.3× avg	—	1800m 24 gate madness top 3 4.2% (avg 13%) · 24
Lucky Demon	19	0.0× avg	—	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
new pop #01	19	0.0× avg	—	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
chall-01	19	0.0× avg	—	1400m 24 gate madness top 3 0.0% (avg 13%) · 16 1600m 24 gate madness top 3 0.0% (avg 13%) · 3

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).