Collision — CS2 Stats
76561198200621933[U:1:240356205]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 59.9% | 51.9% |
| Shot accuracy | 18.0% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 42.6% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 m0NESY 98% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Strengths
Aim. Aim score of 94 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 8.6/10 (Elite), 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 |
|---|---|---|---|---|---|
 inferno | C | 31 | 12–19 | 39% | 0.04 |
 dust2 | S | 30 | 22–8 | 73% | 0.06 |
 ancient | B | 21 | 10–11 | 48% | 0.03 |
 nuke | S | 14 | 11–3 | 79% | 0.06 |
 anubis | — | 3 | 3–0 | 100% | 0.04 |
 train | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (39% over 31). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 53 | 62% | 1.99 | 22.6 |
| Dust2 | 49 | 63% | 1.84 | 23.0 |
| Inferno | 47 | 49% | 1.68 | 21.2 |
| Nuke | 36 | 61% | 1.91 | 21.0 |
| Overpass | 7 | 57% | 1.62 | 21.6 |
| Anubis | 3 | 67% | 1.84 | 22.0 |
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.
39% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–9 | 0.02 | 27% | 21 May → | |
| nuke | 13–10 | 0.11 | 23% | 20 May → | |
| ancient | 5–13 | 0.02 | 23% | 20 May → | |
| ancient | 13–5 | 0.00 | 12% | 19 May → | |
| dust2 | 13–1 | 0.11 | 27% | 18 May → | |
| dust2 | 8–13 | 0.04 | 17% | 18 May → | |
| inferno | 13–4 | 0.09 | 24% | 18 May → | |
| ancient | 8–13 | -0.00 | 20% | 17 May → | |
| dust2 | 13–4 | 0.12 | 20% | 17 May → | |
| nuke | 13–4 | 0.08 | 16% | 17 May → | |
| inferno | 13–6 | 0.05 | 20% | 15 May → | |
| ancient | 13–11 | 0.07 | 16% | 15 May → | |
| inferno | 13–10 | 0.03 | 29% | 15 May → | |
| inferno | 14–16 | 0.04 | 18% | 13 May → | |
| nuke | 13–3 | 0.15 | 24% | 13 May → | |
| ancient | 14–16 | 0.07 | 16% | 13 May → | |
| dust2 | 13–11 | 0.07 | 22% | 12 May → | |
| nuke | 13–8 | 0.08 | 25% | 11 May → | |
| nuke | 13–2 | 0.03 | 15% | 11 May → | |
| ancient | 13–5 | 0.09 | 22% | 11 May → | |
| dust2 | 13–11 | 0.04 | 16% | 10 May → | |
| ancient | 13–4 | 0.06 | 17% | 9 May → | |
| dust2 | 13–6 | 0.08 | 16% | 9 May → | |
| nuke | 13–4 | 0.06 | 21% | 9 May → | |
| inferno | 9–13 | 0.03 | 23% | 9 May → | |
| inferno | 11–13 | 0.11 | 9% | 7 May → | |
| dust2 | 10–13 | 0.03 | 32% | 7 May → | |
| ancient | 11–13 | 0.03 | 3% | 6 May → | |
| dust2 | 13–5 | 0.08 | 25% | 6 May → | |
| dust2 | 13–10 | 0.07 | 13% | 6 May → | |
| dust2 | 13–1 | 0.10 | 22% | 5 May → | |
| ancient | 12–12 | -0.01 | 11% | 9 Feb → | |
| anubis | 13–10 | -0.01 | 15% | 9 Feb → | |
| inferno | 13–4 | 0.13 | 19% | 9 Feb → | |
| nuke | 13–8 | 0.03 | 20% | 9 Feb → | |
| dust2 | 13–11 | 0.07 | 21% | 9 Feb → | |
| nuke | 7–9 | -0.02 | 23% | 7 Feb → | |
| nuke | 9–4 | 0.10 | 23% | 7 Feb → | |
| inferno | 9–7 | 0.14 | 37% | 7 Feb → | |
| inferno | 13–1 | 0.13 | 17% | 6 Feb → | |
| dust2 | 10–13 | 0.01 | 18% | 6 Feb → | |
| ancient | 13–3 | 0.08 | 20% | 6 Feb → | |
| inferno | 8–13 | -0.03 | 17% | 6 Feb → | |
| anubis | 13–6 | 0.08 | 21% | 6 Feb → | |
| dust2 | 13–4 | 0.09 | 23% | 6 Feb → | |
| inferno | 8–13 | 0.01 | 25% | 5 Feb → | |
| dust2 | 13–7 | 0.11 | 20% | 5 Feb → | |
| ancient | 13–2 | 0.03 | 35% | 5 Feb → | |
| anubis | 13–10 | 0.04 | 25% | 5 Feb → | |
| inferno | 13–10 | 0.08 | 21% | 2 Oct → | |
| dust2 | 10–13 | 0.01 | 20% | 2 Oct → | |
| inferno | 16–19 | 0.00 | 17% | 26 May → | |
| nuke | 13–4 | 0.05 | 27% | 23 May → | |
| inferno | 7–13 | 0.05 | 21% | 20 May → | |
| inferno | 13–10 | 0.07 | 20% | 13 May → | |
| nuke | 9–13 | -0.04 | 11% | 7 May → | |
| inferno | 4–13 | -0.01 | 12% | 23 Apr → | |
| dust2 | 13–6 | -0.01 | 22% | 23 Apr → | |
| dust2 | 22–19 | 0.04 | 18% | 14 Apr → | |
| inferno | 13–9 | 0.04 | 11% | 14 Apr → | |
| dust2 | 13–5 | 0.01 | 19% | 14 Apr → | |
| inferno | 4–13 | -0.01 | 18% | 13 Apr → | |
| inferno | 4–13 | -0.08 | 10% | 13 Apr → | |
| dust2 | 11–13 | 0.09 | 20% | 13 Apr → | |
| ancient | 13–4 | 0.04 | 14% | 12 Apr → | |
| inferno | 13–11 | 0.08 | 14% | 12 Apr → | |
| dust2 | 13–3 | 0.09 | 38% | 12 Apr → | |
| inferno | 5–13 | -0.04 | 16% | 10 Apr → | |
| dust2 | 9–13 | 0.00 | 18% | 10 Apr → | |
| ancient | 9–13 | -0.05 | 9% | 9 Apr → | |
| dust2 | 13–10 | 0.07 | 22% | 9 Apr → | |
| inferno | 12–12 | 0.03 | 16% | 9 Apr → | |
| ancient | 13–7 | 0.01 | 15% | 5 Apr → | |
| ancient | 5–13 | -0.01 | 11% | 5 Apr → | |
| inferno | 13–7 | 0.01 | 15% | 5 Apr → | |
| dust2 | 13–2 | 0.03 | 24% | 5 Apr → | |
| inferno | 9–13 | 0.04 | 16% | 1 Apr → | |
| ancient | 10–13 | 0.06 | 18% | 1 Apr → | |
| dust2 | 13–5 | 0.08 | 17% | 1 Apr → | |
| ancient | 12–12 | 0.02 | 15% | 30 Mar → | |
| inferno | 9–13 | 0.01 | 22% | 30 Mar → | |
| dust2 | 12–12 | 0.02 | 22% | 30 Mar → | |
| ancient | 11–13 | 0.00 | 14% | 26 Mar → | |
| dust2 | 13–10 | 0.08 | 15% | 26 Mar → | |
| inferno | 7–13 | 0.04 | 18% | 26 Mar → | |
| inferno | 12–12 | 0.11 | 18% | 25 Mar → | |
| dust2 | 13–10 | 0.06 | 15% | 25 Mar → | |
| ancient | 10–13 | 0.02 | 22% | 10 Mar → | |
| nuke | 11–13 | 0.05 | 20% | 10 Mar → | |
| ancient | 13–6 | 0.06 | 24% | 3 Mar → | |
| inferno | 13–11 | 0.01 | 19% | 3 Mar → | |
| dust2 | 13–7 | -0.01 | 19% | 3 Mar → | |
| inferno | 12–12 | 0.01 | 12% | 25 Feb → | |
| dust2 | 13–7 | 0.06 | 27% | 25 Feb → | |
| ancient | 13–9 | 0.02 | 23% | 25 Feb → | |
| nuke | 9–6 | 0.10 | 31% | 17 Feb → | |
| train | 8–13 | 0.01 | 24% | 18 Jan → | |
| inferno | 8–13 | 0.05 | 17% | 18 Jan → | |
| inferno | 10–13 | 0.02 | 20% | 17 Jan → | |
| dust2 | 11–13 | 0.08 | 13% | 17 Jan → |
Match data via Leetify.
