itstommy — CS2 Stats
76561197960807434[U:1:541706]
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 | 44.2% | 52.8% |
| Shot accuracy | 18.5% | 13.7% |
| Kill/death ratio | 1.27 | 1.08 |
| Match win rate | 56.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ZywOo 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Reaction time. 607ms 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 7.3/10 (Strong), 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 | 28 | 15–13 | 54% | 0.03 | |
| A | 23 | 13–10 | 57% | 0.01 | |
| A | 14 | 8–6 | 57% | 0.03 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 6). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 44 | 50% | 1.06 | 16.3 |
| Ancient | 41 | 56% | 1.38 | 19.1 |
| Dust2 | 31 | 42% | 1.19 | 18.0 |
| Anubis | 28 | 46% | 1.06 | 16.3 |
| Inferno | 17 | 59% | 1.28 | 17.8 |
| Nuke | 15 | 53% | 1.18 | 17.6 |
| Vertigo | 14 | 43% | 1.02 | 16.6 |
| Cache | 4 | 50% | 1.52 | 19.8 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.08 | 28% | 26 Aug → | ||
| 13–7 | -0.01 | 20% | 26 Aug → | ||
| 16–14 | 0.02 | 13% | 17 Aug → | ||
| 5–13 | -0.03 | 21% | 17 Aug → | ||
| 6–4 | 0.04 | 28% | 17 Aug → | ||
| 14–16 | 0.07 | 15% | 16 Aug → | ||
| 13–4 | 0.01 | 25% | 16 Aug → | ||
| 13–11 | 0.02 | 8% | 15 Aug → | ||
| 13–2 | 0.04 | 29% | 15 Aug → | ||
| 13–11 | 0.02 | 32% | 14 Aug → | ||
| 4–13 | 0.01 | 14% | 13 Aug → | ||
| 6–13 | 0.05 | 21% | 13 Aug → | ||
| 10–13 | -0.03 | 23% | 13 Aug → | ||
| 13–8 | 0.04 | 24% | 13 Aug → | ||
| 10–13 | 0.00 | 20% | 10 Aug → | ||
| 13–7 | 0.00 | 27% | 10 Aug → | ||
| 13–6 | -0.09 | 12% | 10 Aug → | ||
| 7–13 | 0.04 | 29% | 5 Aug → | ||
| 13–7 | 0.06 | 18% | 4 Aug → | ||
| 13–6 | 0.05 | 17% | 4 Aug → | ||
| 9–13 | 0.00 | 15% | 4 Aug → | ||
| 3–13 | 0.02 | 40% | 3 Aug → | ||
| 13–8 | 0.08 | 19% | 3 Aug → | ||
| 13–3 | 0.05 | 41% | 3 Aug → | ||
| 10–13 | 0.03 | 26% | 3 Aug → | ||
| 11–13 | 0.05 | 27% | 2 Aug → | ||
| 9–13 | 0.10 | 16% | 2 Aug → | ||
| 13–11 | 0.01 | 24% | 2 Aug → | ||
| 14–16 | 0.03 | 17% | 31 Jul → | ||
| 4–13 | -0.04 | 12% | 31 Jul → | ||
| 16–14 | 0.02 | 21% | 30 Jul → | ||
| 13–6 | 0.04 | 20% | 30 Jul → | ||
| 13–11 | 0.02 | 20% | 30 Jul → | ||
| 13–7 | 0.06 | 30% | 30 Jul → | ||
| 13–6 | 0.07 | 23% | 28 Jul → | ||
| 13–10 | 0.04 | 41% | 28 Jul → | ||
| 10–13 | 0.04 | 14% | 28 Jul → | ||
| 3–13 | -0.04 | 27% | 27 Jul → | ||
| 13–9 | 0.02 | 28% | 26 Jul → | ||
| 13–5 | 0.01 | 18% | 26 Jul → | ||
| 13–11 | 0.03 | 30% | 20 Jul → | ||
| 16–13 | 0.13 | 17% | 20 Jul → | ||
| 3–13 | -0.08 | 15% | 20 Jul → | ||
| 10–13 | 0.03 | 19% | 19 Jul → | ||
| 16–13 | 0.01 | 29% | 19 Jul → | ||
| 13–3 | 0.05 | 20% | 19 Jul → | ||
| 13–8 | 0.17 | 22% | 19 Jul → | ||
| 0–3 | -0.10 | 0% | 18 Jul → | ||
| 13–6 | 0.04 | 27% | 18 Jul → | ||
| 13–11 | 0.04 | 26% | 17 Jul → | ||
| 13–2 | 0.08 | 20% | 17 Jul → | ||
| 13–2 | 0.09 | 19% | 17 Jul → | ||
| 13–3 | 0.03 | 21% | 17 Jul → | ||
| 11–13 | 0.02 | 31% | 17 Jul → | ||
| 4–13 | -0.06 | 31% | 16 Jul → | ||
| 13–4 | 0.04 | 24% | 10 Jul → | ||
| 4–13 | -0.04 | 17% | 10 Jul → | ||
| 13–7 | 0.02 | 29% | 10 Jul → | ||
| 11–13 | -0.03 | 23% | 9 Jul → | ||
| 13–4 | 0.20 | 26% | 9 Jul → | ||
| 10–13 | 0.05 | 31% | 3 Jul → | ||
| 11–13 | 0.00 | 25% | 29 Jun → | ||
| 13–7 | 0.06 | 21% | 29 Jun → | ||
| 11–13 | 0.01 | 18% | 25 May → | ||
| 15–19 | 0.05 | 19% | 25 May → | ||
| 11–13 | -0.02 | 10% | 23 May → | ||
| 11–13 | 0.08 | 19% | 20 May → | ||
| 8–13 | 0.01 | 27% | 20 May → | ||
| 11–13 | -0.02 | 28% | 17 May → | ||
| 16–13 | 0.02 | 26% | 3 May → | ||
| 14–16 | 0.00 | 14% | 30 Apr → | ||
| 13–10 | 0.12 | 18% | 30 Apr → | ||
| 11–13 | 0.02 | 13% | 29 Apr → | ||
| 13–11 | 0.04 | 23% | 27 Apr → | ||
| 1–13 | -0.01 | 24% | 27 Apr → | ||
| 13–9 | 0.02 | 17% | 27 Apr → | ||
| 13–6 | 0.08 | 29% | 15 Mar → | ||
| 13–6 | 0.05 | 19% | 15 Mar → | ||
| 9–13 | 0.01 | 17% | 15 Mar → | ||
| 14–16 | 0.04 | 21% | 14 Mar → | ||
| 13–6 | -0.01 | 29% | 14 Mar → | ||
| 16–14 | 0.09 | 35% | 7 Mar → | ||
| 13–16 | -0.06 | 21% | 7 Mar → | ||
| 13–10 | 0.03 | 18% | 5 Mar → | ||
| 16–13 | 0.05 | 19% | 22 Feb → | ||
| 1–13 | -0.11 | 18% | 22 Feb → | ||
| 4–13 | -0.03 | 24% | 20 Feb → | ||
| 13–11 | 0.09 | 29% | 26 Jan → | ||
| 13–3 | 0.08 | 20% | 26 Jan → | ||
| 13–5 | 0.01 | 9% | 26 Jan → | ||
| 6–13 | 0.05 | 26% | 26 Jan → | ||
| 13–8 | -0.01 | 14% | 25 Jan → | ||
| 11–13 | -0.03 | 15% | 4 Jan → | ||
| 13–5 | 0.00 | 11% | 4 Jan → | ||
| 16–12 | 0.02 | 20% | 4 Jan → | ||
| 13–8 | -0.06 | 19% | 4 Jan → | ||
| 16–13 | 0.03 | 12% | 3 Jan → | ||
| 3–13 | 0.01 | 20% | 3 Jan → | ||
| 13–9 | 0.04 | 20% | 3 Jan → | ||
| 7–13 | -0.03 | 11% | 3 Jan → |
Match data via Leetify.