SCOOTER — CS2 Stats
76561198262076034[U:1:301810306]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like donk 91% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower positioning profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | A | 25 | 15–10 | 60% | 0.02 |
 dust2 | A | 16 | 10–6 | 63% | 0.02 |
 nuke | C | 12 | 5–7 | 42% | -0.00 |
 ancient | A | 11 | 6–5 | 55% | 0.02 |
 inferno | A | 11 | 7–4 | 64% | 0.04 |
 anubis | C | 10 | 4–6 | 40% | 0.01 |
 cache | C | 7 | 3–4 | 43% | 0.03 |
 overpass | A | 7 | 4–3 | 57% | -0.00 |
 train | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 777 | 50% | 1.02 | 15.7 |
| Ancient | 480 | 50% | 1.02 | 15.3 |
| Anubis | 395 | 51% | 1.02 | 15.2 |
| Dust2 | 176 | 40% | 0.90 | 14.3 |
| Vertigo | 166 | 56% | 1.00 | 15.6 |
| Overpass | 160 | 49% | 1.06 | 16.5 |
| Inferno | 101 | 47% | 0.95 | 14.4 |
| Nuke | 71 | 54% | 1.03 | 15.2 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 10–13 | 0.08 | 41% | 24 Aug → | |
| ancient | 9–13 | 0.04 | 30% | 22 Aug → | |
| mirage | 11–13 | 0.02 | 36% | 21 Aug → | |
| dust2 | 13–5 | -0.00 | 34% | 16 Aug → | |
| anubis | 13–3 | 0.10 | 19% | 16 Aug → | |
| ancient | 13–8 | 0.06 | 37% | 14 Aug → | |
| mirage | 13–5 | -0.04 | 32% | 13 Aug → | |
| dust2 | 6–13 | -0.09 | 33% | 10 Aug → | |
| cache | 13–8 | 0.08 | 30% | 10 Aug → | |
| cache | 5–13 | -0.01 | 48% | 9 Aug → | |
| cache | 9–13 | -0.11 | 41% | 6 Aug → | |
| mirage | 13–10 | -0.06 | 13% | 6 Aug → | |
| anubis | 9–13 | -0.00 | 27% | 5 Aug → | |
| ancient | 13–1 | 0.05 | 38% | 4 Aug → | |
| nuke | 13–7 | 0.03 | 29% | 2 Aug → | |
| mirage | 13–5 | 0.07 | 50% | 2 Aug → | |
| ancient | 11–13 | -0.02 | 24% | 2 Aug → | |
| mirage | 13–3 | 0.10 | 36% | 2 Aug → | |
| mirage | 15–15 | -0.02 | 25% | 1 Aug → | |
| cache | 10–13 | 0.06 | 30% | 30 Jul → | |
| nuke | 9–13 | 0.04 | 47% | 30 Jul → | |
| ancient | 13–7 | 0.03 | 36% | 30 Jul → | |
| mirage | 13–11 | -0.03 | 28% | 29 Jul → | |
| dust2 | 13–8 | -0.06 | 32% | 29 Jul → | |
| inferno | 13–8 | 0.08 | 32% | 27 Jul → | |
| nuke | 11–13 | -0.02 | 44% | 26 Jul → | |
| ancient | 10–13 | 0.04 | 23% | 20 Jul → | |
| inferno | 13–7 | -0.01 | 31% | 20 Jul → | |
| anubis | 13–5 | 0.08 | 25% | 19 Jul → | |
| anubis | 6–13 | -0.05 | 25% | 18 Jul → | |
| dust2 | 1–10 | 0.00 | 40% | 17 Jul → | |
| mirage | 13–10 | 0.04 | 33% | 17 Jul → | |
| cache | 13–9 | 0.05 | 35% | 16 Jul → | |
| nuke | 13–4 | 0.00 | 25% | 15 Jul → | |
| nuke | 8–13 | 0.00 | 35% | 13 Jul → | |
| cache | 13–10 | 0.04 | 30% | 13 Jul → | |
| anubis | 10–13 | -0.02 | 43% | 9 Jul → | |
| mirage | 13–2 | 0.02 | 31% | 8 Jul → | |
| mirage | 5–13 | -0.02 | 48% | 4 Jul → | |
| mirage | 8–13 | 0.09 | 51% | 4 Jul → | |
| mirage | 13–9 | -0.00 | 32% | 1 Jul → | |
| dust2 | 13–5 | -0.04 | 33% | 1 Jul → | |
| overpass | 6–13 | -0.04 | 50% | 28 Jun → | |
| dust2 | 13–4 | 0.02 | 37% | 28 Jun → | |
| ancient | 9–13 | -0.01 | 44% | 28 Jun → | |
| dust2 | 13–10 | 0.03 | 25% | 28 Jun → | |
| mirage | 16–12 | -0.00 | 35% | 28 Jun → | |
| ancient | 13–10 | -0.01 | 39% | 28 Jun → | |
| dust2 | 13–2 | 0.17 | 29% | 28 Jun → | |
| inferno | 13–16 | 0.01 | 35% | 28 Jun → | |
| dust2 | 13–5 | 0.06 | 31% | 28 Jun → | |
| dust2 | 13–8 | 0.03 | 31% | 28 Jun → | |
| dust2 | 13–4 | 0.06 | 23% | 27 Jun → | |
| mirage | 13–9 | 0.05 | 33% | 26 Jun → | |
| inferno | 8–1 | 0.07 | 44% | 26 Jun → | |
| nuke | 14–16 | 0.04 | 45% | 26 Jun → | |
| anubis | 8–13 | 0.05 | 24% | 15 Jun → | |
| overpass | 13–10 | 0.01 | 26% | 11 Jun → | |
| ancient | 13–5 | 0.05 | 41% | 11 Jun → | |
| ancient | 9–13 | -0.02 | 28% | 8 Jun → | |
| overpass | 13–7 | 0.00 | 34% | 7 Jun → | |
| nuke | 11–13 | -0.03 | 45% | 7 Jun → | |
| inferno | 4–11 | 0.03 | 27% | 5 Jun → | |
| mirage | 13–7 | -0.02 | 38% | 4 Jun → | |
| nuke | 6–13 | -0.01 | 25% | 2 Jun → | |
| dust2 | 15–15 | 0.02 | 22% | 1 Jun → | |
| mirage | 3–13 | -0.04 | 19% | 25 May → | |
| train | 4–13 | -0.01 | 41% | 25 May → | |
| ancient | 13–11 | -0.01 | 33% | 25 May → | |
| overpass | 7–13 | 0.03 | 31% | 23 May → | |
| inferno | 13–3 | 0.04 | 36% | 23 May → | |
| anubis | 13–2 | 0.06 | 17% | 21 May → | |
| dust2 | 13–4 | 0.03 | 40% | 21 May → | |
| mirage | 13–8 | 0.02 | 35% | 21 May → | |
| mirage | 13–4 | 0.02 | 31% | 21 May → | |
| mirage | 10–13 | 0.04 | 20% | 5 May → | |
| overpass | 12–16 | 0.01 | 33% | 5 May → | |
| dust2 | 8–13 | 0.04 | 39% | 22 Apr → | |
| inferno | 13–11 | 0.01 | 41% | 11 Apr → | |
| nuke | 4–13 | -0.01 | 48% | 9 Apr → | |
| inferno | 13–8 | 0.01 | 36% | 5 Apr → | |
| inferno | 13–11 | 0.13 | 32% | 4 Apr → | |
| anubis | 13–10 | 0.02 | 33% | 29 Mar → | |
| mirage | 7–13 | 0.03 | 31% | 29 Mar → | |
| mirage | 15–15 | 0.07 | 32% | 28 Mar → | |
| dust2 | 8–13 | 0.01 | 41% | 26 Mar → | |
| nuke | 13–9 | -0.02 | 29% | 13 Mar → | |
| inferno | 6–13 | 0.01 | 30% | 9 Mar → | |
| nuke | 13–7 | 0.01 | 23% | 8 Mar → | |
| anubis | 6–13 | -0.09 | 15% | 7 Mar → | |
| mirage | 13–8 | 0.07 | 30% | 27 Feb → | |
| dust2 | 11–13 | 0.00 | 30% | 14 Feb → | |
| anubis | 8–13 | -0.03 | 20% | 20 Jan → | |
| mirage | 13–11 | -0.01 | 27% | 3 Jan → | |
| mirage | 1–9 | -0.01 | 43% | 2 Jan → | |
| inferno | 11–13 | 0.01 | 42% | 1 Jan → | |
| mirage | 10–13 | -0.01 | 25% | 1 Jan → | |
| overpass | 16–13 | -0.03 | 18% | 31 Dec → | |
| overpass | 13–10 | 0.00 | 33% | 30 Dec → | |
| nuke | 13–11 | -0.04 | 26% | 28 Dec → |
Match data via Leetify.