Team report · Lower league

Danshan

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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 Nyx Blackthorn	215	0.8× avg	1200m 12 gate WTA wins 14% (avg 8.3%) · 7 1200m 6 gate madness top 3 61% (avg 50%) · 23 1000m 6 gate madness top 3 58% (avg 50%) · 24	1200m 6 gate WTA wins 0.0% (avg 17%) · 17 2000m 12 gate madness top 3 0.0% (avg 25%) · 6 1800m 6 gate WTA wins 0.0% (avg 17%) · 6
BOT Nero Flarewind	205	1.5× avg	2200m 24 gate madness top 3 50% (avg 13%) · 20 2000m 22 gate WTA wins 19% (avg 4.5%) · 21 1800m 24 gate WTA wins 33% (avg 4.2%) · 6	1400m 24 gate WTA wins 0.0% (avg 4.2%) · 6 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 6
Lethal Chaos	193	1.2× avg	1000m 4 gate WTA wins 46% (avg 25%) · 13 1200m 6 gate madness top 3 74% (avg 50%) · 23 1200m 22 gate WTA wins 14% (avg 4.5%) · 7	2200m 24 gate madness top 3 0.0% (avg 13%) · 13 2200m 6 gate WTA wins 0.0% (avg 17%) · 6 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 21
Unlit Cell	190	0.7× avg	1200m 6 gate WTA wins 29% (avg 17%) · 17 1400m 24 gate madness top 3 14% (avg 13%) · 7 1200m 6 gate madness top 3 52% (avg 50%) · 23	1600m 1v1 wins 0.0% (avg 50%) · 6 2200m 6 gate madness top 3 0.0% (avg 50%) · 6 1800m 6 gate WTA wins 0.0% (avg 17%) · 6
BOT v2 Juno Ironclad	176	1.7× avg	1600m 24 gate WTA wins 21% (avg 4.2%) · 24 1800m 4 gate WTA wins 58% (avg 25%) · 12 2000m 22 gate WTA wins 14% (avg 4.5%) · 14	1800m 16 gate WTA wins 0.0% (avg 6.3%) · 5
BOT Rex Blackthorn	173	0.8× avg	1000m 24 gate madness top 3 29% (avg 13%) · 7 1600m 24 gate WTA wins 8.3% (avg 4.2%) · 24 1400m 24 gate madness top 3 21% (avg 13%) · 14	2200m 24 gate madness top 3 0.0% (avg 13%) · 21 2000m 6 gate WTA wins 0.0% (avg 17%) · 6 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 13
Haunted Nitro	171	0.8× avg	1800m 24 gate madness top 3 29% (avg 13%) · 7 1400m 24 gate madness top 3 29% (avg 13%) · 7 1200m 22 gate WTA wins 14% (avg 4.5%) · 7	2200m 24 gate madness top 3 0.0% (avg 13%) · 13 1400m 4 gate WTA wins 0.0% (avg 25%) · 5 2200m 6 gate WTA wins 0.0% (avg 17%) · 6
Long Ride Molly	170	1.1× avg	2200m 16 gate WTA wins 25% (avg 6.3%) · 12 2000m 6 gate WTA wins 28% (avg 17%) · 18 1600m 22 gate WTA wins 14% (avg 4.5%) · 7	2000m 6 gate madness top 3 37% (avg 50%) · 19 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 7 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 7
Hog Head	169	1.0× avg	2200m 24 gate madness top 3 30% (avg 13%) · 27 2000m 22 gate WTA wins 29% (avg 4.5%) · 7 1600m 16 gate WTA wins 33% (avg 6.3%) · 6	2000m 6 gate WTA wins 0.0% (avg 17%) · 18 1400m 6 gate WTA wins 0.0% (avg 17%) · 6 1000m 24 gate madness top 3 0.0% (avg 13%) · 6
Madness 3	164	0.4× avg	2200m 6 gate WTA wins 17% (avg 17%) · 6	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 2200m 24 gate madness top 3 0.0% (avg 13%) · 13 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24
Ferrari vs Ford	161	1.0× avg	1400m 12 gate madness top 3 50% (avg 25%) · 6 1800m 6 gate madness top 3 83% (avg 50%) · 6 1200m 22 gate WTA wins 14% (avg 4.5%) · 7	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 14 2200m 24 gate madness top 3 7.1% (avg 13%) · 14 1200m 24 gate madness top 3 0.0% (avg 13%) · 3
BOT v2 Sable Skyrunner	161	0.1× avg	1000m 16 gate WTA wins 10% (avg 6.3%) · 10 1400m 24 gate madness top 3 14% (avg 13%) · 7	2200m 24 gate madness top 3 0.0% (avg 13%) · 35 1800m 24 gate madness top 3 0.0% (avg 13%) · 17 2000m 12 gate madness top 3 0.0% (avg 25%) · 6
BOT Blaze Frostfang	159	1.4× avg	1200m 24 gate madness top 3 75% (avg 13%) · 4 1400m 24 gate madness top 3 29% (avg 13%) · 14 1800m 12 gate WTA wins 29% (avg 8.3%) · 7	2200m 24 gate madness top 3 7.4% (avg 13%) · 27 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 6 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 6
BOT Kael Ghoststep	156	0.3× avg	1800m 12 gate WTA wins 14% (avg 8.3%) · 7 1000m 16 gate WTA wins 10% (avg 6.3%) · 10	2200m 4 gate WTA wins 0.0% (avg 25%) · 6 1800m 24 gate madness top 3 0.0% (avg 13%) · 12 2000m 1v1 wins 17% (avg 50%) · 6
Knot Warden	155	1.5× avg	1600m 24 gate WTA wins 25% (avg 4.2%) · 24 1800m 24 gate madness top 3 63% (avg 13%) · 8 1800m 4 gate WTA wins 67% (avg 25%) · 6	1000m 1v1 wins 0.0% (avg 50%) · 6 2200m 24 gate madness top 3 0.0% (avg 13%) · 7 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 14
BOT v2 Orion Steelheart	150	0.3× avg	1000m 6 gate madness top 3 50% (avg 50%) · 6	2000m 12 gate madness top 3 0.0% (avg 25%) · 6 1800m 24 gate madness top 3 0.0% (avg 13%) · 12 1800m 6 gate WTA wins 0.0% (avg 17%) · 6
BOT v2 Nero Ashbane	147	0.8× avg	1800m 24 gate madness top 3 33% (avg 13%) · 12 1000m 22 gate WTA wins 14% (avg 4.5%) · 7 2000m 12 gate madness top 3 33% (avg 25%) · 12	1400m 6 gate WTA wins 0.0% (avg 17%) · 12 1600m 6 gate madness top 3 0.0% (avg 50%) · 4 1400m 4 gate WTA wins 0.0% (avg 25%) · 5
BOT Vex Ghoststep	147	0.4× avg	1800m 16 gate WTA wins 20% (avg 6.3%) · 5 1200m 4 gate WTA wins 33% (avg 25%) · 6 1000m 22 gate WTA wins 5.6% (avg 4.5%) · 18	1800m 24 gate madness top 3 0.0% (avg 13%) · 15 1400m 24 gate madness top 3 0.0% (avg 13%) · 14 2200m 24 gate madness top 3 5.0% (avg 13%) · 20
Text Me	142	0.5× avg	1600m 16 gate WTA wins 17% (avg 6.3%) · 6 1400m 4 gate WTA wins 33% (avg 25%) · 6 1400m 6 gate WTA wins 17% (avg 17%) · 6	1800m 24 gate madness top 3 0.0% (avg 13%) · 17 2200m 24 gate madness top 3 4.8% (avg 13%) · 21 1400m 24 gate madness top 3 0.0% (avg 13%) · 7
BOT Astra Darkmoor	142	0.4× avg	1800m 24 gate madness top 3 24% (avg 13%) · 17 1200m 24 gate WTA wins 17% (avg 4.2%) · 6 1600m 22 gate WTA wins 14% (avg 4.5%) · 7	2200m 4 gate WTA wins 0.0% (avg 25%) · 6 1400m 4 gate WTA wins 0.0% (avg 25%) · 6 2000m 12 gate madness top 3 0.0% (avg 25%) · 6
BOT Orion Duskblade	141	0.3× avg	1400m 24 gate madness top 3 14% (avg 13%) · 7	2200m 24 gate madness top 3 0.0% (avg 13%) · 27 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 7
BOT v2 Drake Crimson	140	0.5× avg	1200m 24 gate WTA wins 17% (avg 4.2%) · 6 1800m 24 gate madness top 3 17% (avg 13%) · 12 2000m 12 gate madness top 3 25% (avg 25%) · 12	2200m 24 gate madness top 3 0.0% (avg 13%) · 21 1400m 12 gate madness top 3 0.0% (avg 25%) · 6 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24
BOT Kael Duskblade	134	0.8× avg	1800m 24 gate madness top 3 23% (avg 13%) · 13 1800m 16 gate WTA wins 20% (avg 6.3%) · 5 1000m 22 gate WTA wins 8.3% (avg 4.5%) · 12	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24 1400m 24 gate madness top 3 0.0% (avg 13%) · 7 2200m 24 gate madness top 3 7.4% (avg 13%) · 27
BOT Kane Grimspire	130	0.1× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 34 1800m 24 gate madness top 3 0.0% (avg 13%) · 17 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24
BOT v2 Astra Stormborn	130	0.6× avg	1400m 16 gate WTA wins 15% (avg 6.3%) · 13 1400m 24 gate madness top 3 29% (avg 13%) · 7 1000m 24 gate madness top 3 15% (avg 13%) · 13	2200m 24 gate madness top 3 0.0% (avg 13%) · 27 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 24 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 12

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).