chase — CS2 Stats
76561198078471165[U:1:118205437]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 63.2% | 52.8% |
| Shot accuracy | 12.7% | 13.7% |
| Kill/death ratio | 1.33 | 1.08 |
| Match win rate | 54.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 sh1ro 97% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 30 | 18–12 | 60% | 0.02 |
 dust2 | A | 22 | 12–10 | 55% | 0.02 |
 ancient | A | 14 | 9–5 | 64% | 0.03 |
 cache | S | 9 | 8–1 | 89% | 0.06 |
 inferno | S | 7 | 5–2 | 71% | 0.04 |
 nuke | C | 7 | 3–4 | 43% | -0.01 |
 anubis | S | 6 | 4–2 | 67% | 0.04 |
 train | — | 2 | 2–0 | 100% | 0.11 |
 vertigo | — | 2 | 0–2 | 0% | 0.12 |
 overpass | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 286 | 55% | 1.44 | 19.9 |
| Ancient | 194 | 59% | 1.52 | 19.4 |
| Dust2 | 179 | 51% | 1.34 | 18.1 |
| Inferno | 106 | 58% | 1.73 | 19.4 |
| Anubis | 80 | 54% | 1.48 | 20.9 |
| Nuke | 42 | 62% | 1.47 | 17.6 |
| Cache | 39 | 69% | 1.62 | 18.1 |
| Overpass | 12 | 42% | 1.20 | 19.0 |
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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–4 | 0.19 | 34% | 28 Aug → | |
| cache | 11–13 | 0.03 | 21% | 28 Aug → | |
| mirage | 11–13 | -0.00 | 20% | 28 Aug → | |
| ancient | 9–13 | -0.02 | 6% | 27 Aug → | |
| inferno | 13–6 | 0.06 | 29% | 26 Aug → | |
| cache | 8–1 | -0.01 | 25% | 26 Aug → | |
| dust2 | 13–8 | 0.13 | 19% | 26 Aug → | |
| mirage | 10–13 | 0.10 | 19% | 25 Aug → | |
| anubis | 16–13 | 0.02 | 10% | 24 Aug → | |
| mirage | 13–8 | 0.19 | 22% | 21 Aug → | |
| cache | 13–10 | 0.06 | 20% | 7 Aug → | |
| dust2 | 16–14 | 0.01 | 16% | 5 Aug → | |
| mirage | 13–8 | 0.02 | 22% | 6 Jul → | |
| anubis | 13–8 | -0.01 | 33% | 6 Jul → | |
| overpass | 2–0 | 0.11 | 38% | 6 Jul → | |
| ancient | 13–8 | 0.06 | 20% | 6 Jul → | |
| dust2 | 15–15 | 0.02 | 27% | 6 Jul → | |
| cache | 13–5 | 0.09 | 26% | 24 Jun → | |
| mirage | 13–10 | 0.05 | 18% | 24 Jun → | |
| train | 13–4 | 0.15 | 18% | 23 Jun → | |
| train | 13–1 | 0.08 | 17% | 23 Jun → | |
| nuke | 8–13 | -0.00 | 27% | 23 Jun → | |
| ancient | 13–11 | 0.05 | 27% | 19 Jun → | |
| mirage | 11–13 | 0.02 | 32% | 16 Jun → | |
| inferno | 9–13 | -0.04 | 16% | 14 Jun → | |
| anubis | 13–2 | 0.03 | 21% | 10 Jun → | |
| vertigo | 11–13 | 0.14 | 29% | 4 Jun → | |
| vertigo | 9–13 | 0.11 | 36% | 4 Jun → | |
| nuke | 13–6 | 0.05 | 20% | 2 Jun → | |
| anubis | 10–13 | 0.03 | 14% | 1 Jun → | |
| mirage | 13–8 | 0.04 | 19% | 1 Jun → | |
| nuke | 13–7 | -0.04 | 38% | 30 May → | |
| mirage | 13–8 | 0.03 | 24% | 30 May → | |
| ancient | 7–13 | -0.07 | 32% | 30 May → | |
| anubis | 1–5 | 0.11 | 47% | 29 May → | |
| mirage | 0–2 | -0.22 | 0% | 29 May → | |
| mirage | 13–6 | 0.03 | 20% | 29 May → | |
| dust2 | 19–16 | 0.01 | 20% | 27 May → | |
| dust2 | 16–14 | -0.02 | 19% | 26 May → | |
| mirage | 10–13 | -0.02 | 18% | 26 May → | |
| mirage | 7–13 | 0.01 | 22% | 25 May → | |
| nuke | 7–13 | -0.01 | 16% | 23 May → | |
| dust2 | 5–13 | -0.04 | 17% | 23 May → | |
| dust2 | 10–13 | -0.02 | 18% | 23 May → | |
| nuke | 9–13 | -0.03 | 23% | 20 May → | |
| inferno | 13–5 | 0.02 | 33% | 20 May → | |
| mirage | 13–7 | 0.04 | 21% | 19 May → | |
| ancient | 13–4 | 0.15 | 34% | 19 May → | |
| ancient | 13–7 | 0.00 | 20% | 17 May → | |
| mirage | 13–8 | 0.08 | 19% | 15 May → | |
| dust2 | 13–7 | 0.07 | 29% | 15 May → | |
| dust2 | 6–13 | -0.01 | 11% | 15 May → | |
| mirage | 13–11 | 0.05 | 16% | 14 May → | |
| ancient | 13–10 | 0.10 | 19% | 14 May → | |
| cache | 13–7 | 0.07 | 25% | 12 May → | |
| dust2 | 6–13 | -0.02 | 19% | 10 May → | |
| inferno | 13–8 | 0.05 | 11% | 9 May → | |
| dust2 | 13–5 | -0.01 | 24% | 9 May → | |
| ancient | 13–11 | 0.02 | 31% | 8 May → | |
| mirage | 13–1 | -0.03 | 5% | 8 May → | |
| inferno | 13–4 | 0.09 | 24% | 8 May → | |
| mirage | 16–19 | -0.05 | 13% | 6 May → | |
| dust2 | 4–13 | -0.09 | 34% | 6 May → | |
| ancient | 16–14 | 0.07 | 15% | 6 May → | |
| cache | 13–2 | 0.07 | 29% | 30 Apr → | |
| cache | 13–9 | 0.08 | 17% | 29 Apr → | |
| cache | 13–4 | 0.05 | 24% | 29 Apr → | |
| cache | 13–4 | 0.11 | 22% | 29 Apr → | |
| dust2 | 13–7 | 0.05 | 25% | 27 Apr → | |
| dust2 | 14–16 | -0.01 | 26% | 26 Apr → | |
| nuke | 9–13 | -0.05 | 34% | 25 Apr → | |
| anubis | 13–8 | 0.06 | 25% | 24 Apr → | |
| mirage | 13–8 | -0.01 | 15% | 22 Apr → | |
| mirage | 13–3 | 0.04 | 20% | 22 Apr → | |
| inferno | 11–13 | -0.01 | 16% | 22 Apr → | |
| mirage | 10–13 | 0.05 | 21% | 20 Apr → | |
| ancient | 10–13 | -0.01 | 32% | 13 Apr → | |
| ancient | 13–2 | 0.01 | 21% | 12 Apr → | |
| inferno | 13–3 | 0.08 | 29% | 12 Apr → | |
| mirage | 9–13 | 0.06 | 29% | 9 Apr → | |
| ancient | 11–13 | 0.03 | 19% | 3 Apr → | |
| dust2 | 2–13 | -0.01 | 15% | 3 Apr → | |
| mirage | 13–11 | 0.01 | 15% | 3 Apr → | |
| mirage | 13–9 | 0.11 | 19% | 2 Apr → | |
| mirage | 13–10 | 0.07 | 19% | 1 Apr → | |
| nuke | 13–7 | 0.01 | 30% | 29 Mar → | |
| dust2 | 13–11 | -0.07 | 20% | 25 Mar → | |
| dust2 | 14–16 | -0.00 | 19% | 24 Mar → | |
| mirage | 16–19 | 0.03 | 22% | 20 Mar → | |
| mirage | 13–7 | 0.14 | 26% | 18 Mar → | |
| ancient | 9–13 | -0.00 | 34% | 18 Mar → | |
| mirage | 13–9 | -0.03 | 14% | 18 Mar → | |
| dust2 | 13–5 | 0.01 | 11% | 18 Mar → | |
| mirage | 13–7 | -0.03 | 20% | 18 Mar → | |
| dust2 | 11–13 | 0.10 | 24% | 10 Mar → | |
| mirage | 11–13 | -0.07 | 39% | 8 Mar → | |
| dust2 | 13–3 | 0.11 | 36% | 6 Mar → | |
| dust2 | 16–14 | 0.06 | 27% | 2 Mar → | |
| mirage | 3–13 | -0.02 | 26% | 2 Mar → | |
| ancient | 13–6 | 0.02 | 23% | 2 Mar → |
Match data via Leetify.