pøm — CS2 Stats
76561199076845461[U:1:1116579733]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 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 Twistzz 90% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim 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
Areas to improve
T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 552ms 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 50 | 27–23 | 54% | 0.01 | |
| S | 30 | 22–8 | 73% | 0.00 | |
| A | 13 | 8–5 | 62% | -0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (54% over 50). Start with the 6 essential Inferno 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 97 | 55% | 1.10 | 15.5 |
| Anubis | 70 | 50% | 1.05 | 14.2 |
| Inferno | 60 | 55% | 1.14 | 16.1 |
| Vertigo | 57 | 54% | 1.07 | 15.3 |
| Mirage | 54 | 46% | 0.92 | 14.4 |
| Nuke | 33 | 55% | 0.96 | 13.6 |
| Dust2 | 33 | 52% | 0.94 | 14.0 |
| Overpass | 7 | 29% | 0.79 | 12.3 |
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 34.4464% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.08 | 25% | 28 Aug → | ||
| 4–13 | -0.10 | 20% | 28 Aug → | ||
| 13–10 | -0.01 | 12% | 28 Aug → | ||
| 7–13 | -0.02 | 12% | 28 Aug → | ||
| 13–7 | -0.02 | 16% | 27 Aug → | ||
| 9–13 | -0.07 | 21% | 27 Aug → | ||
| 11–3 | 0.13 | 24% | 27 Aug → | ||
| 2–13 | -0.06 | 31% | 27 Aug → | ||
| 13–5 | 0.03 | 22% | 27 Aug → | ||
| 13–5 | -0.03 | 16% | 27 Aug → | ||
| 11–13 | 0.02 | 26% | 27 Aug → | ||
| 7–13 | -0.05 | 15% | 27 Aug → | ||
| 13–10 | -0.04 | 12% | 26 Aug → | ||
| 15–15 | 0.07 | 13% | 26 Aug → | ||
| 13–5 | -0.03 | 16% | 26 Aug → | ||
| 13–2 | -0.00 | 29% | 26 Aug → | ||
| 2–7 | -0.07 | 17% | 26 Aug → | ||
| 2–6 | -0.02 | 7% | 26 Aug → | ||
| 13–1 | 0.08 | 8% | 26 Aug → | ||
| 3–13 | 0.02 | 23% | 26 Aug → | ||
| 6–13 | -0.02 | 18% | 25 Aug → | ||
| 13–7 | -0.01 | 12% | 25 Aug → | ||
| 13–3 | 0.04 | 9% | 25 Aug → | ||
| 13–9 | 0.01 | 16% | 25 Aug → | ||
| 5–8 | -0.01 | 15% | 25 Aug → | ||
| 13–10 | -0.01 | 16% | 25 Aug → | ||
| 13–4 | -0.00 | 14% | 25 Aug → | ||
| 10–13 | 0.01 | 12% | 25 Aug → | ||
| 13–9 | 0.05 | 19% | 25 Aug → | ||
| 13–6 | -0.05 | 19% | 25 Aug → | ||
| 9–13 | -0.09 | 5% | 25 Aug → | ||
| 13–3 | 0.03 | 13% | 25 Aug → | ||
| 9–3 | 0.20 | 13% | 24 Aug → | ||
| 2–13 | -0.04 | 22% | 24 Aug → | ||
| 13–8 | -0.03 | 32% | 24 Aug → | ||
| 13–5 | 0.02 | 19% | 24 Aug → | ||
| 13–4 | -0.01 | 12% | 23 Aug → | ||
| 3–13 | -0.04 | 12% | 23 Aug → | ||
| 13–3 | -0.01 | 14% | 23 Aug → | ||
| 11–13 | -0.01 | 12% | 23 Aug → | ||
| 13–3 | 0.04 | 18% | 23 Aug → | ||
| 13–4 | 0.05 | 18% | 23 Aug → | ||
| 13–5 | 0.03 | 18% | 23 Aug → | ||
| 13–8 | -0.04 | 14% | 23 Aug → | ||
| 12–12 | 0.01 | 10% | 23 Aug → | ||
| 12–12 | -0.05 | 20% | 21 Aug → | ||
| 9–2 | 0.04 | 20% | 21 Aug → | ||
| 13–5 | -0.06 | 9% | 21 Aug → | ||
| 13–11 | 0.01 | 11% | 21 Aug → | ||
| 10–13 | -0.03 | 16% | 21 Aug → | ||
| 5–13 | -0.06 | 11% | 20 Aug → | ||
| 13–8 | -0.01 | 13% | 20 Aug → | ||
| 4–13 | -0.05 | 25% | 20 Aug → | ||
| 8–13 | -0.04 | 15% | 20 Aug → | ||
| 5–13 | -0.05 | 8% | 4 Aug → | ||
| 10–13 | -0.04 | 9% | 4 Aug → | ||
| 13–8 | 0.02 | 20% | 4 Aug → | ||
| 13–11 | 0.02 | 11% | 4 Aug → | ||
| 13–9 | -0.01 | 13% | 4 Aug → | ||
| 13–4 | 0.06 | 21% | 3 Aug → | ||
| 7–13 | 0.06 | 30% | 3 Aug → | ||
| 13–2 | 0.13 | 21% | 3 Aug → | ||
| 7–13 | -0.04 | 9% | 3 Aug → | ||
| 13–10 | -0.04 | 17% | 3 Aug → | ||
| 11–13 | 0.03 | 12% | 3 Aug → | ||
| 16–13 | 0.04 | 14% | 2 Aug → | ||
| 13–5 | 0.00 | 21% | 2 Aug → | ||
| 12–12 | -0.06 | 7% | 1 Aug → | ||
| 13–10 | 0.03 | 6% | 1 Aug → | ||
| 7–13 | 0.06 | 17% | 1 Aug → | ||
| 14–16 | 0.01 | 19% | 31 Jul → | ||
| 13–2 | 0.07 | 17% | 31 Jul → | ||
| 6–13 | -0.03 | 29% | 30 Jul → | ||
| 13–3 | 0.06 | 26% | 30 Jul → | ||
| 6–13 | 0.03 | 8% | 30 Jul → | ||
| 13–11 | 0.02 | 10% | 30 Jul → | ||
| 13–3 | -0.01 | 2% | 30 Jul → | ||
| 13–9 | 0.03 | 11% | 30 Jul → | ||
| 13–4 | -0.02 | 14% | 28 Jul → | ||
| 2–13 | -0.02 | 17% | 28 Jul → | ||
| 13–2 | 0.13 | 29% | 28 Jul → | ||
| 5–13 | -0.07 | 27% | 27 Jul → | ||
| 13–2 | 0.07 | 20% | 22 Jul → | ||
| 13–5 | 0.08 | 21% | 22 Jul → | ||
| 11–13 | -0.03 | 37% | 21 Jul → | ||
| 13–7 | 0.01 | 20% | 4 Jul → | ||
| 13–3 | 0.09 | 21% | 4 Jul → | ||
| 13–4 | -0.01 | 9% | 4 Jul → | ||
| 13–8 | -0.02 | 25% | 3 Jul → | ||
| 13–4 | -0.03 | 8% | 3 Jul → | ||
| 9–1 | 0.11 | 18% | 3 Jul → | ||
| 10–13 | -0.02 | 18% | 3 Jul → | ||
| 13–4 | 0.08 | 14% | 30 Jun → | ||
| 13–2 | 0.16 | 14% | 30 Jun → | ||
| 10–13 | 0.04 | 16% | 30 Jun → | ||
| 7–1 | 0.03 | 13% | 30 Jun → | ||
| 11–13 | -0.05 | 24% | 28 Jun → | ||
| 13–6 | -0.01 | 9% | 28 Jun → | ||
| 13–5 | 0.00 | 21% | 27 Jun → | ||
| 4–1 | -0.00 | 50% | 27 Jun → |
Match data via Leetify.