Costerfunk — CS2 Stats
76561198936813838[U:1:976548110]
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 | 58.8% | 52.8% |
| Shot accuracy | 7.0% | 13.7% |
| Kill/death ratio | 1.61 | 1.08 |
| Match win rate | 47.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 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 b1t 95% playstyle similarity
Most alike: positioning profile, 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 89 — 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 6.8/10 (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 |
|---|---|---|---|---|---|
| B | 24 | 11–13 | 46% | 0.01 | |
| S | 18 | 12–6 | 67% | 0.02 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| office | B | 8 | 4–4 | 50% | 0.03 |
| S | 6 | 5–1 | 83% | 0.04 | |
| — | 3 | 2–1 | 67% | -0.03 | |
| — | 2 | 2–0 | 100% | 0.09 | |
| — | 1 | 1–0 | 100% | 0.21 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Overpass 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 180 | 51% | 1.11 | 15.9 |
| Anubis | 170 | 55% | 1.20 | 16.7 |
| Ancient | 170 | 52% | 1.17 | 16.2 |
| Nuke | 139 | 53% | 1.30 | 17.3 |
| Vertigo | 85 | 48% | 1.22 | 18.1 |
| Inferno | 62 | 48% | 1.16 | 17.2 |
| Overpass | 59 | 46% | 1.16 | 15.9 |
| Dust2 | 32 | 47% | 1.01 | 14.4 |
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.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.7762% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.05 | 20% | 26 Aug → | ||
| 13–10 | 0.01 | 16% | 20 Aug → | ||
| 9–13 | -0.03 | 24% | 17 Aug → | ||
| 6–13 | -0.02 | 20% | 15 Aug → | ||
| 9–13 | -0.01 | 18% | 15 Aug → | ||
| 13–9 | 0.07 | 17% | 15 Aug → | ||
| 13–9 | 0.00 | 13% | 13 Aug → | ||
| 10–13 | -0.02 | 17% | 12 Aug → | ||
| 13–8 | 0.04 | 18% | 10 Aug → | ||
| 13–1 | 0.21 | 32% | 8 Aug → | ||
| 13–3 | 0.14 | 10% | 8 Aug → | ||
| 13–5 | 0.06 | 27% | 8 Aug → | ||
| 2–13 | 0.03 | 23% | 8 Aug → | ||
| 11–13 | 0.00 | 0% | 31 Jul → | ||
| 13–8 | -0.06 | 20% | 17 Jul → | ||
| 13–5 | 0.09 | 26% | 16 Jul → | ||
| 6–13 | -0.07 | 16% | 15 Jul → | ||
| 10–13 | 0.00 | 29% | 27 Jun → | ||
| 22–20 | 0.04 | 12% | 27 Jun → | ||
| 6–13 | 0.03 | 15% | 15 Jun → | ||
| 3–10 | 0.01 | 31% | 7 Jun → | ||
| office | 12–12 | 0.01 | 15% | 31 May → | |
| 13–5 | 0.12 | 25% | 24 May → | ||
| office | 13–5 | 0.02 | 29% | 20 May → | |
| 13–11 | 0.08 | 25% | 18 May → | ||
| 22–20 | 0.02 | 21% | 18 May → | ||
| office | 13–9 | -0.08 | 20% | 18 May → | |
| 8–13 | -0.03 | 22% | 16 May → | ||
| office | 11–13 | 0.02 | 23% | 16 May → | |
| 10–13 | -0.04 | 21% | 13 May → | ||
| office | 13–6 | -0.04 | 30% | 10 May → | |
| 10–13 | 0.06 | 14% | 9 May → | ||
| 7–13 | -0.04 | 21% | 8 May → | ||
| 13–4 | 0.03 | 18% | 7 May → | ||
| 13–3 | 0.07 | 21% | 6 May → | ||
| office | 13–10 | 0.16 | 35% | 5 May → | |
| office | 7–13 | 0.07 | 50% | 3 May → | |
| 13–16 | 0.00 | 18% | 1 May → | ||
| 13–4 | 0.06 | 16% | 30 Apr → | ||
| 8–13 | 0.00 | 16% | 30 Apr → | ||
| 11–13 | -0.00 | 20% | 29 Apr → | ||
| 13–11 | -0.04 | 19% | 26 Apr → | ||
| 13–11 | 0.00 | 18% | 25 Apr → | ||
| 16–13 | -0.04 | 10% | 24 Apr → | ||
| 13–5 | 0.05 | 18% | 22 Apr → | ||
| 13–8 | 0.08 | 18% | 22 Apr → | ||
| 13–8 | -0.01 | 24% | 22 Apr → | ||
| office | 11–13 | 0.08 | 26% | 20 Apr → | |
| 6–13 | -0.02 | 23% | 20 Apr → | ||
| 13–5 | -0.03 | 21% | 15 Apr → | ||
| 13–10 | 0.03 | 23% | 14 Apr → | ||
| 13–9 | 0.09 | 23% | 11 Apr → | ||
| 13–7 | 0.09 | 11% | 10 Apr → | ||
| 13–10 | -0.01 | 19% | 9 Apr → | ||
| 11–13 | 0.01 | 17% | 8 Apr → | ||
| 13–5 | 0.09 | 37% | 3 Apr → | ||
| 8–13 | 0.04 | 23% | 3 Apr → | ||
| 3–13 | -0.04 | 15% | 22 Mar → | ||
| 13–10 | 0.10 | 20% | 13 Feb → | ||
| 17–19 | 0.04 | 19% | 6 Feb → | ||
| 5–13 | -0.04 | 21% | 4 Feb → | ||
| 7–13 | -0.05 | 20% | 2 Feb → | ||
| 13–0 | 0.15 | 23% | 2 Feb → | ||
| 13–9 | 0.07 | 14% | 28 Jan → | ||
| 13–2 | 0.08 | 17% | 18 Jan → | ||
| 13–10 | 0.05 | 21% | 16 Jan → | ||
| 11–13 | -0.03 | 32% | 16 Jan → | ||
| 11–13 | -0.02 | 17% | 4 Jan → | ||
| 13–11 | 0.05 | 37% | 4 Jan → | ||
| 11–13 | 0.04 | 16% | 4 Jan → | ||
| 13–5 | 0.08 | 21% | 3 Jan → | ||
| 16–14 | -0.02 | 15% | 2 Jan → | ||
| 13–3 | 0.03 | 32% | 2 Jan → | ||
| 13–6 | 0.06 | 31% | 1 Jan → | ||
| 13–7 | 0.02 | 32% | 24 Dec → | ||
| 13–8 | 0.05 | 22% | 21 Dec → | ||
| 1–7 | 0.01 | 13% | 20 Dec → | ||
| 13–7 | -0.00 | 19% | 20 Dec → | ||
| 13–10 | 0.05 | 10% | 15 Dec → | ||
| 13–10 | 0.03 | 24% | 15 Dec → | ||
| 10–13 | 0.03 | 16% | 8 Dec → | ||
| 6–13 | -0.00 | 18% | 7 Dec → | ||
| 13–7 | 0.07 | 15% | 7 Dec → | ||
| 8–13 | 0.08 | 29% | 6 Dec → | ||
| 13–3 | 0.08 | 28% | 12 Nov → | ||
| 13–6 | 0.02 | 32% | 10 Nov → | ||
| 13–10 | -0.01 | 16% | 7 Nov → | ||
| 13–9 | -0.02 | 26% | 22 Oct → | ||
| 6–13 | -0.00 | 22% | 18 Oct → | ||
| 13–8 | 0.01 | 35% | 18 Oct → | ||
| 8–12 | -0.02 | 18% | 18 Oct → | ||
| 8–13 | -0.01 | 25% | 7 Oct → | ||
| 6–13 | -0.04 | 20% | 27 Sept → | ||
| 13–10 | -0.00 | 17% | 27 Sept → | ||
| 16–19 | 0.00 | 32% | 26 Sept → | ||
| 13–5 | -0.07 | 4% | 20 Sept → | ||
| 8–13 | -0.07 | 41% | 19 Sept → | ||
| 13–11 | 0.09 | 23% | 14 Sept → | ||
| 4–13 | -0.00 | 21% | 13 Sept → | ||
| 8–13 | 0.01 | 20% | 25 Aug → |
Match data via Leetify.
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