DoorMatt — CS2 Stats
GB76561198275913174[U:1:315647446]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 40.2% | 44.1% | 47.2% | 7.0% short |
| Shot accuracy | 9.0% | 11.4% | 12.7% | 3.8% short |
| Kill/death ratio | 0.91 | 1.03 | 1.09 | 0.18 short |
| Match win rate | 43.3% | 45.2% | 46.6% | 3.3% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
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 NiKo 63% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; lower aim 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. 653ms 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 2.8/10 (Learning), 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 | D | 17 | 5–12 | 29% | -0.05 |
 cache | A | 17 | 10–7 | 59% | -0.03 |
 ancient | C | 13 | 5–8 | 38% | -0.02 |
 mirage | A | 13 | 8–5 | 62% | 0.00 |
 nuke | D | 11 | 3–8 | 27% | -0.01 |
 anubis | D | 11 | 2–9 | 18% | -0.05 |
 dust2 | A | 8 | 5–3 | 63% | -0.03 |
 overpass | — | 3 | 0–3 | 0% | -0.04 |
 train | — | 3 | 1–2 | 33% | 0.02 |
| boulder | — | 2 | 1–1 | 50% | -0.04 |
| fachwerk | — | 1 | 0–1 | 0% | -0.06 |
 vertigo | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis 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.
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3705° — above the 12° mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.323 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 10–13 | -0.03 | 29% | 21 Aug → | |
| dust2 | 5–13 | -0.05 | 12% | 21 Aug → | |
| inferno | 1–13 | -0.10 | 22% | 21 Aug → | |
| anubis | 7–13 | -0.06 | 21% | 21 Aug → | |
| cache | 6–13 | -0.01 | 20% | 21 Aug → | |
| ancient | 13–11 | -0.07 | 8% | 21 Aug → | |
| mirage | 8–13 | 0.02 | 10% | 18 Aug → | |
| ancient | 13–9 | 0.00 | 10% | 18 Aug → | |
| mirage | 8–13 | -0.04 | 4% | 15 Aug → | |
| nuke | 10–13 | 0.02 | 11% | 15 Aug → | |
| ancient | 3–13 | -0.10 | 27% | 15 Aug → | |
| anubis | 6–13 | -0.01 | 4% | 15 Aug → | |
| inferno | 2–13 | -0.10 | 21% | 14 Aug → | |
| cache | 4–13 | -0.12 | 6% | 14 Aug → | |
| ancient | 8–13 | -0.06 | 22% | 14 Aug → | |
| cache | 13–11 | -0.04 | 8% | 14 Aug → | |
| cache | 13–10 | -0.02 | 18% | 14 Aug → | |
| anubis | 5–13 | -0.10 | 6% | 14 Aug → | |
| cache | 3–13 | -0.09 | 25% | 13 Aug → | |
| anubis | 15–15 | -0.04 | 22% | 13 Aug → | |
| cache | 8–13 | -0.04 | 16% | 8 Aug → | |
| inferno | 2–13 | -0.08 | 11% | 8 Aug → | |
| nuke | 13–7 | 0.10 | 26% | 8 Aug → | |
| cache | 9–13 | 0.01 | 16% | 7 Aug → | |
| cache | 13–7 | -0.02 | 14% | 7 Aug → | |
| ancient | 13–0 | -0.05 | 27% | 7 Aug → | |
| nuke | 13–4 | 0.04 | 8% | 7 Aug → | |
| mirage | 13–8 | 0.02 | 18% | 7 Aug → | |
| inferno | 13–8 | -0.08 | 18% | 7 Aug → | |
| nuke | 7–13 | -0.04 | 14% | 7 Aug → | |
| cache | 13–2 | 0.01 | 16% | 7 Aug → | |
| dust2 | 13–11 | 0.04 | 12% | 6 Aug → | |
| ancient | 11–13 | -0.02 | 17% | 6 Aug → | |
| anubis | 3–13 | -0.06 | 5% | 6 Aug → | |
| inferno | 11–13 | -0.01 | 12% | 6 Aug → | |
| nuke | 13–11 | -0.05 | 20% | 6 Aug → | |
| ancient | 10–13 | -0.01 | 12% | 6 Aug → | |
| cache | 13–10 | -0.07 | 15% | 6 Aug → | |
| mirage | 13–8 | -0.03 | 29% | 6 Aug → | |
| cache | 8–13 | 0.03 | 19% | 5 Aug → | |
| inferno | 13–6 | 0.02 | 9% | 5 Aug → | |
| anubis | 9–13 | -0.07 | 23% | 5 Aug → | |
| mirage | 8–13 | -0.05 | 17% | 5 Aug → | |
| ancient | 16–12 | 0.04 | 31% | 5 Aug → | |
| cache | 9–13 | -0.01 | 18% | 4 Aug → | |
| cache | 13–11 | 0.02 | 21% | 4 Aug → | |
| inferno | 15–15 | -0.04 | 15% | 4 Aug → | |
| dust2 | 6–13 | -0.09 | 11% | 4 Aug → | |
| inferno | 1–13 | -0.04 | 20% | 3 Aug → | |
| mirage | 13–11 | -0.08 | 27% | 3 Aug → | |
| cache | 13–9 | -0.06 | 19% | 3 Aug → | |
| anubis | 13–9 | -0.05 | 19% | 3 Aug → | |
| inferno | 13–10 | -0.08 | 14% | 3 Aug → | |
| anubis | 10–13 | -0.07 | 21% | 3 Aug → | |
| ancient | 11–13 | 0.00 | 12% | 3 Aug → | |
| inferno | 15–15 | -0.05 | 14% | 1 Aug → | |
| nuke | 10–13 | -0.00 | 8% | 1 Aug → | |
| cache | 13–5 | -0.00 | 13% | 1 Aug → | |
| mirage | 5–13 | 0.10 | 20% | 31 Jul → | |
| cache | 13–1 | 0.01 | 26% | 31 Jul → | |
| ancient | 1–13 | -0.07 | 25% | 31 Jul → | |
| ancient | 13–6 | 0.01 | 21% | 30 Jul → | |
| anubis | 13–6 | -0.01 | 15% | 30 Jul → | |
| inferno | 16–12 | -0.06 | 17% | 30 Jul → | |
| cache | 13–11 | -0.01 | 22% | 30 Jul → | |
| mirage | 13–6 | 0.05 | 10% | 30 Jul → | |
| boulder | 12–12 | -0.03 | 17% | 24 Jul → | |
| fachwerk | 8–13 | -0.06 | 26% | 17 Jul → | |
| overpass | 7–13 | -0.08 | 16% | 17 Jul → | |
| boulder | 13–6 | -0.05 | 38% | 17 Jul → | |
| anubis | 3–13 | -0.09 | 13% | 17 Jul → | |
| inferno | 7–13 | -0.11 | 9% | 17 Jul → | |
| inferno | 10–13 | -0.02 | 17% | 4 Jul → | |
| nuke | 9–13 | -0.05 | 17% | 4 Jul → | |
| overpass | 7–13 | -0.08 | 25% | 1 Mar → | |
| vertigo | 13–7 | -0.06 | 10% | 1 Mar → | |
| mirage | 16–14 | 0.03 | 12% | 20 Feb → | |
| inferno | 2–13 | -0.09 | 16% | 20 Feb → | |
| overpass | 10–13 | 0.04 | 18% | 1 Jan → | |
| ancient | 3–13 | 0.04 | 15% | 1 Jan → | |
| nuke | 14–16 | -0.02 | 17% | 30 Dec → | |
| inferno | 5–13 | -0.03 | 13% | 27 Dec → | |
| mirage | 13–6 | -0.01 | 8% | 27 Dec → | |
| train | 10–13 | 0.03 | 14% | 27 Dec → | |
| anubis | 7–13 | 0.05 | 17% | 27 Dec → | |
| inferno | 13–9 | 0.07 | 22% | 27 Dec → | |
| mirage | 13–7 | -0.00 | 21% | 27 Dec → | |
| ancient | 9–13 | 0.03 | 3% | 27 Dec → | |
| mirage | 11–13 | -0.03 | 15% | 22 Dec → | |
| dust2 | 13–11 | -0.04 | 9% | 22 Dec → | |
| dust2 | 13–5 | -0.08 | 13% | 17 Dec → | |
| nuke | 7–13 | -0.03 | 28% | 17 Dec → | |
| train | 9–13 | 0.02 | 21% | 13 Dec → | |
| mirage | 13–7 | 0.06 | 23% | 13 Dec → | |
| inferno | 15–15 | -0.01 | 18% | 13 Dec → | |
| train | 13–8 | 0.00 | 21% | 13 Dec → | |
| dust2 | 5–13 | 0.04 | 19% | 12 Dec → | |
| nuke | 3–13 | -0.02 | 17% | 12 Dec → | |
| dust2 | 13–11 | -0.05 | 26% | 29 Nov → | |
| dust2 | 13–4 | 0.02 | 13% | 23 Nov → |
Match data via Leetify.
