Peej — CS2 Stats
US76561198314688361[U:1:354422633]Steam profile ↗✓ No bans
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 | 38.6% | 52.8% |
| Shot accuracy | 18.8% | 13.7% |
| Kill/death ratio | 0.95 | 1.08 |
| Match win rate | 45.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.09 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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: positioning profile, utility contribution.
Where you differ: lower aim profile; lower opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 561ms 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 6.2/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 42 | 24–18 | 57% | 0.00 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| S | 10 | 8–2 | 80% | -0.01 | |
| A | 10 | 6–4 | 60% | 0.00 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| D | 6 | 0–6 | 0% | 0.02 | |
| poseidon | — | 1 | 0–1 | 0% | 0.26 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 6). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 136 | 55% | 1.01 | 15.0 |
| Dust2 | 70 | 56% | 1.04 | 15.2 |
| Ancient | 65 | 49% | 1.00 | 14.5 |
| Anubis | 39 | 46% | 0.94 | 15.1 |
| Inferno | 32 | 59% | 1.07 | 14.7 |
| Nuke | 24 | 46% | 0.90 | 13.9 |
| Overpass | 13 | 62% | 0.92 | 13.8 |
| Train | 8 | 88% | 1.17 | 15.4 |
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 30.9245% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.13 | 19% | 28 Aug → | ||
| 16–13 | 0.15 | 23% | 26 Aug → | ||
| 13–7 | 0.10 | 22% | 25 Aug → | ||
| 13–16 | 0.06 | 22% | 17 Jul → | ||
| 3–13 | 0.03 | 30% | 4 Jul → | ||
| 13–10 | -0.00 | 26% | 4 Jul → | ||
| 3–13 | 0.03 | 39% | 4 Jul → | ||
| 7–13 | 0.04 | 24% | 4 Jul → | ||
| 16–14 | -0.03 | 8% | 20 Jun → | ||
| 8–13 | 0.04 | 20% | 19 Jun → | ||
| 2–13 | -0.11 | 11% | 15 Jun → | ||
| 13–5 | -0.03 | 33% | 15 Jun → | ||
| 13–8 | -0.02 | 29% | 12 Jun → | ||
| 13–11 | -0.06 | 27% | 6 Jun → | ||
| 8–3 | -0.02 | 0% | 5 Jun → | ||
| 8–13 | -0.00 | 20% | 13 May → | ||
| 9–13 | -0.00 | 20% | 9 May → | ||
| 14–16 | -0.01 | 20% | 9 May → | ||
| 5–13 | -0.03 | 11% | 9 May → | ||
| 9–13 | -0.01 | 25% | 9 May → | ||
| 13–3 | 0.10 | 20% | 9 May → | ||
| 13–7 | 0.05 | 16% | 9 May → | ||
| 11–13 | 0.12 | 33% | 9 May → | ||
| 5–13 | 0.05 | 40% | 8 May → | ||
| 10–13 | 0.00 | 33% | 8 May → | ||
| 13–8 | -0.04 | 18% | 7 May → | ||
| 12–16 | -0.02 | 12% | 6 May → | ||
| 13–5 | -0.03 | 23% | 4 May → | ||
| 2–13 | -0.04 | 26% | 3 May → | ||
| 13–9 | 0.06 | 28% | 3 May → | ||
| 10–13 | -0.03 | 13% | 3 May → | ||
| 13–10 | 0.02 | 28% | 2 May → | ||
| 8–13 | -0.07 | 19% | 2 May → | ||
| 9–13 | -0.00 | 18% | 1 May → | ||
| 13–8 | 0.06 | 33% | 29 Apr → | ||
| 13–2 | 0.08 | 43% | 28 Apr → | ||
| 13–16 | -0.01 | 16% | 25 Apr → | ||
| 13–10 | -0.01 | 21% | 25 Apr → | ||
| 16–13 | 0.01 | 24% | 23 Apr → | ||
| 13–10 | 0.04 | 38% | 22 Apr → | ||
| 13–11 | 0.11 | 41% | 18 Apr → | ||
| 13–8 | 0.04 | 21% | 16 Apr → | ||
| 8–13 | -0.04 | 11% | 14 Apr → | ||
| 13–10 | -0.09 | 7% | 13 Apr → | ||
| 13–9 | 0.01 | 16% | 13 Apr → | ||
| 13–4 | 0.08 | 19% | 11 Apr → | ||
| 10–13 | -0.02 | 27% | 11 Apr → | ||
| 13–6 | 0.01 | 18% | 10 Apr → | ||
| 13–1 | 0.01 | 16% | 10 Apr → | ||
| 5–13 | 0.03 | 19% | 7 Apr → | ||
| 6–13 | -0.02 | 21% | 7 Apr → | ||
| 13–4 | 0.03 | 24% | 7 Apr → | ||
| 4–13 | 0.00 | 18% | 6 Apr → | ||
| 13–5 | -0.01 | 25% | 6 Apr → | ||
| 2–13 | -0.05 | 18% | 6 Apr → | ||
| 11–13 | -0.02 | 13% | 4 Apr → | ||
| 13–9 | -0.00 | 14% | 4 Apr → | ||
| 13–7 | -0.04 | 13% | 4 Apr → | ||
| 13–9 | -0.05 | 10% | 4 Apr → | ||
| 13–6 | 0.03 | 19% | 4 Apr → | ||
| 9–13 | -0.01 | 11% | 3 Apr → | ||
| 13–8 | 0.04 | 37% | 3 Apr → | ||
| 11–13 | 0.01 | 21% | 31 Mar → | ||
| 13–11 | -0.03 | 14% | 13 Mar → | ||
| 13–2 | 0.06 | 19% | 13 Mar → | ||
| 8–13 | 0.05 | 30% | 13 Mar → | ||
| 13–6 | 0.13 | 41% | 13 Mar → | ||
| 9–13 | 0.06 | 24% | 9 Mar → | ||
| 2–13 | -0.06 | 13% | 9 Mar → | ||
| 16–12 | 0.00 | 17% | 8 Mar → | ||
| 2–13 | -0.06 | 11% | 8 Mar → | ||
| 7–13 | -0.03 | 53% | 8 Mar → | ||
| 13–11 | -0.00 | 13% | 8 Mar → | ||
| 12–16 | 0.03 | 14% | 8 Mar → | ||
| 16–12 | -0.01 | 25% | 8 Mar → | ||
| poseidon | 8–8 | 0.26 | 39% | 6 Mar → | |
| 11–13 | -0.04 | 13% | 6 Mar → | ||
| 13–10 | -0.07 | 14% | 6 Mar → | ||
| 13–5 | 0.03 | 28% | 6 Mar → | ||
| 7–13 | -0.04 | 25% | 2 Mar → | ||
| 6–13 | -0.06 | 16% | 2 Mar → | ||
| 10–13 | 0.04 | 11% | 1 Mar → | ||
| 13–10 | 0.05 | 7% | 1 Mar → | ||
| 12–16 | -0.04 | 19% | 1 Mar → | ||
| 13–7 | 0.02 | 21% | 28 Feb → | ||
| 13–6 | 0.02 | 23% | 28 Feb → | ||
| 11–13 | 0.01 | 8% | 28 Feb → | ||
| 10–13 | -0.02 | 18% | 28 Feb → | ||
| 13–8 | 0.02 | 17% | 28 Feb → | ||
| 11–13 | 0.01 | 29% | 27 Feb → | ||
| 13–8 | 0.01 | 32% | 27 Feb → | ||
| 13–5 | -0.07 | 0% | 27 Feb → | ||
| 13–8 | -0.04 | 18% | 27 Feb → | ||
| 13–6 | -0.04 | 21% | 27 Feb → | ||
| 11–13 | -0.01 | 18% | 27 Feb → | ||
| 13–5 | 0.11 | 13% | 27 Feb → | ||
| 13–8 | -0.04 | 18% | 23 Feb → | ||
| 13–8 | 0.11 | 31% | 23 Feb → | ||
| 11–13 | -0.03 | 15% | 23 Feb → | ||
| 13–8 | 0.02 | 24% | 22 Feb → |
Match data via Leetify.