matti — CS2 Stats
76561198079155882[U:1:118890154]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 61.0% | 52.0% |
| Shot accuracy | 20.0% | 13.7% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 49.9% | 48.8% |
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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.
Sharp aimerExcellent counter-strafingLimited utility dependence
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 ropz 91% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher opening-fight frequency.
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 92 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 576ms 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 7.2/10 (Strong), 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 | S | 23 | 16–7 | 70% | 0.04 |
 ancient | C | 14 | 6–8 | 43% | 0.03 |
 dust2 | B | 14 | 7–7 | 50% | 0.01 |
 nuke | A | 13 | 8–5 | 62% | 0.03 |
 anubis | S | 10 | 8–2 | 80% | 0.05 |
 inferno | A | 7 | 4–3 | 57% | 0.04 |
 train | C | 7 | 3–4 | 43% | 0.02 |
 cache | — | 4 | 3–1 | 75% | 0.02 |
 vertigo | — | 3 | 3–0 | 100% | 0.13 |
| office | — | 2 | 2–0 | 100% | 0.02 |
 overpass | — | 2 | 2–0 | 100% | 0.22 |
| rooftop | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 142 | 57% | 1.20 | 16.9 |
| Anubis | 60 | 60% | 1.12 | 16.8 |
| Dust2 | 52 | 58% | 1.13 | 16.3 |
| Ancient | 50 | 46% | 1.14 | 17.7 |
| Nuke | 28 | 50% | 1.09 | 16.2 |
| Vertigo | 14 | 64% | 1.19 | 17.4 |
| Inferno | 7 | 29% | 0.77 | 13.6 |
| Train | 7 | 57% | 1.25 | 16.3 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 0.4815 — 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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 14–16 | 0.02 | 22% | 27 Aug → | |
| dust2 | 13–11 | 0.01 | 31% | 12 May → | |
| anubis | 13–1 | 0.02 | 24% | 12 May → | |
| cache | 16–14 | -0.01 | 24% | 7 May → | |
| cache | 10–13 | -0.04 | 22% | 2 May → | |
| anubis | 13–8 | 0.12 | 40% | 2 May → | |
| mirage | 13–10 | -0.05 | 20% | 2 May → | |
| ancient | 13–1 | 0.14 | 40% | 2 May → | |
| dust2 | 13–5 | -0.01 | 32% | 1 May → | |
| ancient | 10–13 | -0.05 | 23% | 1 May → | |
| cache | 13–8 | -0.03 | 38% | 1 May → | |
| cache | 13–1 | 0.18 | 35% | 1 May → | |
| nuke | 6–13 | -0.06 | 17% | 29 Apr → | |
| nuke | 13–10 | -0.04 | 38% | 29 Apr → | |
| nuke | 9–13 | 0.03 | 33% | 27 Apr → | |
| nuke | 13–3 | 0.04 | 29% | 21 Apr → | |
| dust2 | 13–1 | 0.03 | 29% | 17 Apr → | |
| mirage | 13–3 | 0.02 | 17% | 8 Apr → | |
| mirage | 8–13 | 0.05 | 53% | 8 Mar → | |
| anubis | 13–10 | 0.07 | 25% | 8 Mar → | |
| dust2 | 10–13 | 0.03 | 23% | 8 Mar → | |
| mirage | 13–11 | 0.14 | 28% | 14 Feb → | |
| mirage | 13–9 | 0.13 | 37% | 3 Feb → | |
| ancient | 13–5 | 0.14 | 41% | 1 Feb → | |
| mirage | 13–8 | 0.07 | 29% | 28 Jan → | |
| inferno | 9–7 | 0.22 | 45% | 28 Jan → | |
| mirage | 13–9 | 0.03 | 37% | 13 Jan → | |
| mirage | 13–5 | 0.06 | 33% | 12 Jan → | |
| dust2 | 13–10 | 0.00 | 41% | 12 Jan → | |
| mirage | 13–4 | 0.02 | 35% | 29 Dec → | |
| nuke | 13–5 | 0.06 | 30% | 29 Dec → | |
| anubis | 11–0 | 0.06 | 23% | 29 Dec → | |
| office | 13–5 | -0.05 | 30% | 29 Dec → | |
| rooftop | 4–9 | -0.00 | 33% | 29 Dec → | |
| office | 13–7 | 0.09 | 50% | 29 Dec → | |
| dust2 | 13–2 | 0.01 | 31% | 28 Dec → | |
| inferno | 13–8 | 0.04 | 27% | 6 Dec → | |
| nuke | 13–10 | 0.07 | 35% | 6 Dec → | |
| mirage | 13–11 | 0.05 | 37% | 26 Nov → | |
| vertigo | 9–5 | 0.07 | 55% | 20 Nov → | |
| nuke | 9–4 | 0.17 | 35% | 20 Nov → | |
| overpass | 9–5 | 0.09 | 36% | 20 Nov → | |
| overpass | 9–0 | 0.34 | 33% | 18 Nov → | |
| vertigo | 9–6 | 0.09 | 38% | 18 Nov → | |
| vertigo | 9–1 | 0.21 | 11% | 18 Nov → | |
| nuke | 9–7 | -0.01 | 25% | 18 Nov → | |
| nuke | 9–13 | 0.01 | 31% | 7 Nov → | |
| mirage | 11–13 | -0.03 | 35% | 6 Nov → | |
| dust2 | 13–7 | 0.02 | 30% | 27 May → | |
| anubis | 16–13 | 0.02 | 27% | 22 May → | |
| inferno | 12–12 | -0.01 | 22% | 29 Apr → | |
| ancient | 5–13 | -0.04 | 24% | 14 Apr → | |
| dust2 | 12–12 | 0.08 | 40% | 14 Mar → | |
| inferno | 13–5 | 0.06 | 33% | 11 Mar → | |
| anubis | 16–14 | 0.04 | 36% | 11 Mar → | |
| nuke | 13–3 | 0.06 | 38% | 11 Mar → | |
| train | 13–4 | 0.13 | 50% | 25 Feb → | |
| ancient | 5–13 | 0.00 | 24% | 23 Feb → | |
| train | 7–13 | 0.04 | 32% | 17 Feb → | |
| mirage | 13–9 | -0.02 | 26% | 17 Feb → | |
| anubis | 8–13 | 0.05 | 33% | 17 Feb → | |
| ancient | 8–13 | 0.01 | 11% | 15 Feb → | |
| train | 8–13 | 0.04 | 35% | 15 Feb → | |
| train | 11–13 | -0.01 | 28% | 12 Feb → | |
| mirage | 16–19 | -0.00 | 26% | 12 Feb → | |
| mirage | 4–13 | 0.03 | 23% | 12 Feb → | |
| mirage | 13–3 | 0.12 | 44% | 11 Feb → | |
| ancient | 13–16 | 0.08 | 35% | 3 Feb → | |
| anubis | 13–8 | 0.05 | 22% | 1 Feb → | |
| ancient | 13–5 | 0.05 | 28% | 31 Jan → | |
| anubis | 13–3 | 0.09 | 32% | 31 Jan → | |
| nuke | 11–13 | -0.01 | 42% | 31 Jan → | |
| dust2 | 15–15 | -0.02 | 33% | 30 Jan → | |
| train | 13–8 | 0.03 | 27% | 30 Jan → | |
| ancient | 16–12 | 0.01 | 29% | 30 Jan → | |
| mirage | 13–10 | 0.03 | 23% | 30 Jan → | |
| inferno | 13–10 | -0.01 | 33% | 29 Jan → | |
| nuke | 13–6 | 0.09 | 35% | 29 Jan → | |
| dust2 | 12–16 | 0.02 | 26% | 29 Jan → | |
| mirage | 13–8 | 0.03 | 22% | 29 Jan → | |
| mirage | 10–13 | 0.03 | 36% | 29 Jan → | |
| ancient | 4–13 | 0.04 | 41% | 29 Jan → | |
| mirage | 13–3 | 0.04 | 28% | 28 Jan → | |
| mirage | 13–1 | 0.14 | 26% | 25 Jan → | |
| mirage | 11–13 | 0.02 | 25% | 22 Jan → | |
| mirage | 13–5 | 0.00 | 23% | 24 Dec → | |
| dust2 | 3–13 | -0.03 | 33% | 24 Dec → | |
| inferno | 6–13 | 0.05 | 32% | 24 Dec → | |
| mirage | 8–13 | 0.00 | 20% | 22 Dec → | |
| ancient | 13–8 | 0.01 | 22% | 15 Dec → | |
| train | 3–13 | -0.05 | 50% | 14 Dec → | |
| anubis | 10–13 | -0.04 | 25% | 14 Dec → | |
| train | 13–10 | -0.03 | 29% | 4 Dec → | |
| ancient | 13–16 | -0.00 | 25% | 4 Dec → | |
| dust2 | 8–13 | 0.01 | 30% | 1 Dec → | |
| dust2 | 15–15 | 0.03 | 36% | 19 Oct → | |
| inferno | 10–13 | -0.04 | 57% | 6 Oct → | |
| nuke | 15–15 | -0.05 | 35% | 6 Oct → | |
| ancient | 16–14 | 0.05 | 29% | 5 Oct → | |
| dust2 | 13–6 | 0.00 | 44% | 5 Oct → |
Match data via Leetify.