Kirkpeek — CS2 Stats
76561199216720365[U:1:1256454637]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 56.8% | 42.5% | 44.2% | above |
| Shot accuracy | 6.1% | 10.9% | 11.2% | 5.1% short |
| Kill/death ratio | 1.10 | 0.99 | 1.04 | above |
| Match win rate | 46.0% | 44.2% | 45.3% | meets |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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: +30pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited 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 donk 93% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution.
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 86 — 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.
Reaction time. 583ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| S | 24 | 18–6 | 75% | 0.05 | |
| A | 22 | 12–10 | 55% | 0.05 | |
| C | 14 | 6–8 | 43% | 0.03 | |
| C | 9 | 4–5 | 44% | 0.06 | |
| C | 9 | 4–5 | 44% | 0.04 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| — | 4 | 0–4 | 0% | -0.01 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| cache_b | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 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 | 51 | 55% | 1.17 | 16.4 |
| Dust2 | 27 | 44% | 1.11 | 15.8 |
| Nuke | 19 | 53% | 1.17 | 19.2 |
| Vertigo | 16 | 44% | 1.25 | 12.4 |
| Inferno | 15 | 27% | 1.33 | 16.9 |
| Anubis | 14 | 57% | 1.09 | 15.5 |
| Ancient | 11 | 55% | 1.22 | 15.6 |
| Overpass | 5 | 20% | 1.25 | 17.4 |
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
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 | |
|---|---|---|---|---|---|
| 13–10 | -0.04 | 17% | 28 Aug → | ||
| 16–14 | 0.03 | 24% | 26 Aug → | ||
| 13–8 | -0.02 | 13% | 25 Aug → | ||
| 13–7 | 0.02 | 11% | 25 Aug → | ||
| 12–16 | 0.05 | 21% | 25 Aug → | ||
| 11–13 | 0.05 | 16% | 25 Aug → | ||
| 13–16 | 0.05 | 12% | 24 Aug → | ||
| 13–10 | 0.09 | 16% | 24 Aug → | ||
| 13–11 | -0.01 | 17% | 23 Aug → | ||
| 13–9 | 0.14 | 36% | 23 Aug → | ||
| 8–13 | 0.00 | 19% | 22 Aug → | ||
| 5–13 | 0.04 | 25% | 21 Aug → | ||
| 1–9 | 0.06 | 24% | 21 Aug → | ||
| 13–5 | 0.10 | 23% | 21 Aug → | ||
| 16–14 | 0.10 | 17% | 20 Aug → | ||
| 6–13 | 0.04 | 16% | 20 Aug → | ||
| 7–13 | 0.07 | 10% | 20 Aug → | ||
| 9–13 | 0.08 | 24% | 19 Aug → | ||
| 13–3 | 0.21 | 30% | 19 Aug → | ||
| 13–8 | 0.04 | 15% | 19 Aug → | ||
| 10–13 | 0.02 | 11% | 19 Aug → | ||
| 8–13 | 0.09 | 17% | 19 Aug → | ||
| 3–13 | -0.05 | 19% | 18 Aug → | ||
| 13–10 | 0.10 | 14% | 18 Aug → | ||
| 13–7 | 0.03 | 24% | 18 Aug → | ||
| 13–6 | 0.01 | 13% | 16 Aug → | ||
| 13–10 | 0.05 | 18% | 16 Aug → | ||
| 8–13 | -0.06 | 9% | 16 Aug → | ||
| 3–13 | -0.00 | 12% | 16 Aug → | ||
| 10–13 | 0.03 | 33% | 16 Aug → | ||
| 13–11 | 0.04 | 17% | 16 Aug → | ||
| 8–13 | -0.03 | 26% | 15 Aug → | ||
| 16–14 | 0.03 | 12% | 15 Aug → | ||
| 13–8 | 0.07 | 21% | 15 Aug → | ||
| 6–13 | -0.01 | 16% | 15 Aug → | ||
| 13–10 | 0.03 | 28% | 15 Aug → | ||
| 13–10 | 0.02 | 8% | 15 Aug → | ||
| 13–5 | 0.02 | 21% | 14 Aug → | ||
| 5–13 | -0.08 | 31% | 14 Aug → | ||
| 13–2 | 0.02 | 14% | 14 Aug → | ||
| 16–14 | 0.07 | 23% | 14 Aug → | ||
| 13–3 | 0.07 | 11% | 14 Aug → | ||
| 13–8 | 0.05 | 18% | 14 Aug → | ||
| 11–13 | -0.00 | 13% | 14 Aug → | ||
| 14–16 | 0.07 | 18% | 14 Aug → | ||
| 13–16 | 0.07 | 19% | 13 Aug → | ||
| 11–13 | 0.02 | 13% | 13 Aug → | ||
| 11–13 | 0.03 | 16% | 13 Aug → | ||
| 5–13 | 0.06 | 14% | 13 Aug → | ||
| 3–13 | 0.03 | 14% | 13 Aug → | ||
| 10–13 | 0.12 | 12% | 13 Aug → | ||
| 8–1 | 0.16 | 15% | 13 Aug → | ||
| 5–13 | -0.02 | 12% | 13 Aug → | ||
| 13–4 | -0.00 | 8% | 13 Aug → | ||
| 8–13 | 0.03 | 26% | 12 Aug → | ||
| 16–14 | 0.04 | 19% | 12 Aug → | ||
| 6–13 | -0.03 | 16% | 12 Aug → | ||
| 3–13 | -0.09 | 13% | 12 Aug → | ||
| 19–17 | 0.05 | 19% | 12 Aug → | ||
| 13–4 | 0.19 | 19% | 12 Aug → | ||
| 13–10 | 0.08 | 17% | 11 Aug → | ||
| 13–6 | 0.06 | 24% | 11 Aug → | ||
| 13–8 | 0.03 | 14% | 11 Aug → | ||
| 11–13 | 0.00 | 18% | 11 Aug → | ||
| 13–11 | 0.03 | 15% | 11 Aug → | ||
| 16–13 | 0.07 | 14% | 11 Aug → | ||
| 16–14 | 0.01 | 21% | 10 Aug → | ||
| 9–13 | -0.03 | 7% | 10 Aug → | ||
| 13–8 | 0.11 | 20% | 10 Aug → | ||
| 13–6 | 0.01 | 10% | 10 Aug → | ||
| 5–13 | 0.05 | 26% | 10 Aug → | ||
| 9–13 | -0.00 | 15% | 10 Aug → | ||
| 7–1 | 0.04 | 22% | 10 Aug → | ||
| 11–13 | 0.07 | 16% | 10 Aug → | ||
| 11–13 | -0.00 | 15% | 9 Aug → | ||
| 10–2 | -0.01 | 13% | 9 Aug → | ||
| 13–8 | 0.09 | 21% | 9 Aug → | ||
| 6–13 | -0.01 | 14% | 9 Aug → | ||
| 8–13 | 0.01 | 25% | 9 Aug → | ||
| 9–13 | 0.04 | 36% | 9 Aug → | ||
| 4–13 | 0.00 | 16% | 9 Aug → | ||
| 13–11 | 0.01 | 32% | 8 Aug → | ||
| 13–8 | 0.04 | 19% | 8 Aug → | ||
| 8–13 | 0.02 | 22% | 8 Aug → | ||
| 8–13 | -0.01 | 14% | 7 Aug → | ||
| 16–13 | -0.01 | 30% | 7 Aug → | ||
| 14–16 | 0.03 | 22% | 7 Aug → | ||
| 16–14 | 0.09 | 19% | 6 Aug → | ||
| 1–13 | 0.01 | 13% | 6 Aug → | ||
| 6–13 | -0.00 | 19% | 5 Aug → | ||
| 13–11 | 0.02 | 14% | 5 Aug → | ||
| 13–9 | 0.11 | 22% | 5 Aug → | ||
| 9–6 | -0.02 | 13% | 3 Aug → | ||
| 13–5 | 0.06 | 23% | 13 Mar → | ||
| 4–13 | -0.03 | 24% | 7 Mar → | ||
| 10–13 | 0.14 | 23% | 3 Mar → | ||
| 7–13 | 0.07 | 23% | 1 Mar → | ||
| 13–8 | 0.09 | 28% | 1 Mar → | ||
| 13–11 | 0.12 | 37% | 26 Feb → | ||
| cache_b | 6–13 | 0.03 | 22% | 26 Feb → |
Match data via Leetify.