m2 — CS2 Stats
AU76561199020984029[U:1:1060718301]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 | 65.0% | 52.8% |
| Shot accuracy | 3.4% | 13.7% |
| Kill/death ratio | 1.74 | 1.08 |
| Match win rate | 51.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 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 ropz 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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.
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 6.3/10 (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 |
|---|---|---|---|---|---|
| A | 25 | 15–10 | 60% | 0.03 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| S | 19 | 14–5 | 74% | 0.01 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| B | 13 | 7–6 | 54% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.05 | |
| debris | — | 1 | 0–1 | 0% | -0.14 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (54% over 13). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 128 | 51% | 1.11 | 15.6 |
| Inferno | 98 | 56% | 1.20 | 15.8 |
| Ancient | 61 | 52% | 1.07 | 16.1 |
| Dust2 | 48 | 48% | 1.07 | 14.3 |
| Anubis | 38 | 37% | 1.11 | 15.7 |
| Cache | 32 | 62% | 1.48 | 18.2 |
| Nuke | 16 | 62% | 1.18 | 17.8 |
| Overpass | 14 | 64% | 1.91 | 16.6 |
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 0.4994 — below the 0.5 mark we flag
- 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 36.712% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 22–20 | 0.00 | 19% | 25 Aug → | ||
| 8–13 | 0.04 | 13% | 24 Aug → | ||
| 13–16 | -0.05 | 16% | 24 Aug → | ||
| 9–13 | -0.04 | 16% | 24 Aug → | ||
| 16–13 | -0.01 | 18% | 24 Aug → | ||
| 2–13 | -0.10 | 60% | 24 Aug → | ||
| 6–13 | -0.03 | 13% | 24 Aug → | ||
| 16–12 | 0.02 | 19% | 23 Aug → | ||
| 9–7 | 0.11 | 13% | 23 Aug → | ||
| 13–8 | 0.04 | 19% | 23 Aug → | ||
| 13–10 | -0.05 | 22% | 23 Aug → | ||
| 13–11 | -0.00 | 24% | 22 Aug → | ||
| 13–7 | 0.09 | 22% | 22 Aug → | ||
| 13–5 | 0.01 | 29% | 21 Aug → | ||
| 9–13 | 0.03 | 24% | 21 Aug → | ||
| 13–5 | 0.06 | 15% | 21 Aug → | ||
| 10–13 | 0.02 | 20% | 21 Aug → | ||
| 13–10 | -0.01 | 20% | 21 Aug → | ||
| 13–7 | 0.00 | 16% | 21 Aug → | ||
| 8–13 | -0.03 | 11% | 21 Aug → | ||
| 13–11 | -0.04 | 6% | 21 Aug → | ||
| 13–9 | 0.04 | 18% | 21 Aug → | ||
| 11–13 | 0.04 | 20% | 21 Aug → | ||
| 6–13 | -0.05 | 24% | 21 Aug → | ||
| 13–2 | -0.01 | 16% | 20 Aug → | ||
| 13–4 | 0.03 | 23% | 20 Aug → | ||
| 7–13 | -0.02 | 38% | 20 Aug → | ||
| 13–11 | 0.01 | 21% | 20 Aug → | ||
| 13–11 | 0.02 | 18% | 18 Aug → | ||
| 9–13 | -0.03 | 16% | 18 Aug → | ||
| 13–5 | 0.00 | 24% | 18 Aug → | ||
| 13–7 | 0.04 | 4% | 16 Aug → | ||
| 19–16 | 0.02 | 16% | 16 Aug → | ||
| 10–13 | 0.08 | 15% | 16 Aug → | ||
| 10–13 | 0.02 | 23% | 15 Aug → | ||
| 8–13 | -0.01 | 13% | 15 Aug → | ||
| 13–11 | 0.01 | 21% | 15 Aug → | ||
| 9–13 | -0.08 | 17% | 15 Aug → | ||
| 16–12 | -0.01 | 15% | 15 Aug → | ||
| 5–13 | -0.09 | 28% | 15 Aug → | ||
| 13–3 | -0.04 | 15% | 15 Aug → | ||
| 9–13 | -0.02 | 38% | 14 Aug → | ||
| 10–13 | -0.04 | 19% | 14 Aug → | ||
| 7–13 | -0.04 | 18% | 14 Aug → | ||
| 13–16 | 0.02 | 15% | 14 Aug → | ||
| 7–13 | -0.00 | 14% | 14 Aug → | ||
| 13–4 | 0.10 | 16% | 13 Aug → | ||
| 13–5 | -0.03 | 22% | 13 Aug → | ||
| 13–7 | -0.03 | 15% | 11 Aug → | ||
| 13–6 | 0.06 | 23% | 10 Aug → | ||
| 9–13 | -0.05 | 15% | 10 Aug → | ||
| 13–6 | 0.05 | 12% | 10 Aug → | ||
| 13–6 | 0.09 | 19% | 10 Aug → | ||
| 16–12 | -0.01 | 25% | 9 Aug → | ||
| 3–13 | -0.05 | 6% | 9 Aug → | ||
| 13–4 | 0.04 | 22% | 9 Aug → | ||
| 4–13 | -0.06 | 8% | 9 Aug → | ||
| 13–10 | 0.01 | 13% | 9 Aug → | ||
| 4–13 | -0.05 | 10% | 8 Aug → | ||
| 9–13 | 0.01 | 15% | 8 Aug → | ||
| 13–9 | 0.00 | 9% | 8 Aug → | ||
| 3–13 | -0.06 | 5% | 7 Aug → | ||
| 8–13 | 0.04 | 17% | 6 Aug → | ||
| 13–10 | 0.07 | 17% | 6 Aug → | ||
| 19–15 | 0.02 | 11% | 2 Aug → | ||
| 13–8 | -0.00 | 15% | 27 Jul → | ||
| 13–8 | 0.10 | 30% | 27 Jul → | ||
| 13–8 | 0.07 | 9% | 26 Jul → | ||
| 7–13 | 0.00 | 14% | 26 Jul → | ||
| 13–10 | 0.08 | 18% | 26 Jul → | ||
| 13–10 | 0.05 | 21% | 26 Jul → | ||
| 6–13 | 0.01 | 29% | 26 Jul → | ||
| 13–2 | 0.18 | 34% | 25 Jul → | ||
| 13–6 | 0.15 | 14% | 24 Jul → | ||
| 7–13 | -0.01 | 12% | 24 Jul → | ||
| 9–4 | 0.22 | 36% | 21 Jul → | ||
| 8–8 | 0.08 | 24% | 20 Jul → | ||
| 3–13 | -0.04 | 18% | 20 Jul → | ||
| 13–16 | 0.06 | 19% | 20 Jul → | ||
| 13–9 | 0.01 | 21% | 19 Jul → | ||
| 13–3 | -0.05 | 23% | 19 Jul → | ||
| 9–13 | 0.05 | 24% | 19 Jul → | ||
| 6–13 | -0.03 | 20% | 19 Jul → | ||
| 9–0 | 0.15 | 0% | 18 Jul → | ||
| 9–6 | -0.02 | 19% | 18 Jul → | ||
| 9–7 | 0.03 | 18% | 18 Jul → | ||
| debris | 4–9 | -0.14 | 25% | 18 Jul → | |
| 9–5 | 0.04 | 26% | 18 Jul → | ||
| 13–9 | 0.06 | 19% | 18 Jul → | ||
| 13–10 | -0.04 | 15% | 17 Jul → | ||
| 9–13 | 0.03 | 14% | 17 Jul → | ||
| 13–9 | 0.04 | 19% | 17 Jul → | ||
| 13–1 | 0.06 | 18% | 17 Jul → | ||
| 13–1 | 0.13 | 36% | 17 Jul → | ||
| 13–10 | 0.09 | 31% | 17 Jul → | ||
| 13–9 | -0.01 | 20% | 16 Jul → | ||
| 14–16 | -0.02 | 17% | 16 Jul → | ||
| 13–6 | 0.03 | 20% | 14 Jul → | ||
| 13–7 | -0.01 | 22% | 13 Jul → | ||
| 13–10 | -0.04 | 17% | 13 Jul → |
Match data via Leetify.