tudz — CS2 Stats
76561197963784599[U:1:3518871]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 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 sh1ro 93% playstyle similarity
Most alike: opening-fight frequency, 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.
Reaction time. 606ms 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 (×1.00 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 |
|---|---|---|---|---|---|
| B | 17 | 8–9 | 47% | 0.01 | |
| B | 16 | 8–8 | 50% | 0.02 | |
| A | 16 | 10–6 | 63% | 0.04 | |
| S | 15 | 11–4 | 73% | 0.02 | |
| A | 14 | 8–6 | 57% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.04 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| cache_b | — | 3 | 1–2 | 33% | 0.01 |
| — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 169 | 50% | 1.13 | 17.5 |
| Dust2 | 146 | 52% | 1.07 | 17.0 |
| Anubis | 116 | 51% | 1.14 | 18.2 |
| Ancient | 112 | 46% | 1.02 | 17.2 |
| Inferno | 93 | 62% | 1.14 | 17.9 |
| Nuke | 48 | 46% | 1.02 | 17.7 |
| Overpass | 22 | 55% | 1.24 | 17.9 |
| Train | 13 | 46% | 1.21 | 17.1 |
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.02 | 17% | 18 Aug → | ||
| 6–13 | 0.04 | 26% | 18 Aug → | ||
| 6–13 | -0.02 | 27% | 18 Aug → | ||
| 13–10 | 0.08 | 23% | 5 Aug → | ||
| 13–5 | 0.10 | 35% | 5 Aug → | ||
| 7–13 | -0.06 | 33% | 31 May → | ||
| 16–13 | 0.01 | 32% | 28 May → | ||
| 13–5 | 0.10 | 32% | 25 May → | ||
| 13–1 | 0.17 | 42% | 25 May → | ||
| 13–8 | 0.10 | 33% | 25 May → | ||
| 9–13 | 0.08 | 35% | 25 May → | ||
| 13–11 | 0.01 | 29% | 24 May → | ||
| 13–3 | 0.02 | 52% | 21 May → | ||
| 23–25 | 0.06 | 36% | 15 May → | ||
| 14–16 | 0.04 | 40% | 15 May → | ||
| 13–10 | 0.02 | 36% | 27 Apr → | ||
| 13–7 | -0.00 | 33% | 22 Apr → | ||
| 6–13 | -0.03 | 44% | 21 Apr → | ||
| 14–16 | -0.05 | 36% | 11 Apr → | ||
| 13–7 | 0.04 | 31% | 10 Apr → | ||
| 11–13 | -0.03 | 28% | 6 Apr → | ||
| cache_b | 5–13 | -0.03 | 35% | 6 Apr → | |
| 13–8 | 0.03 | 26% | 1 Apr → | ||
| 6–13 | -0.03 | 32% | 31 Mar → | ||
| 10–13 | 0.07 | 33% | 31 Mar → | ||
| 2–13 | -0.03 | 31% | 30 Mar → | ||
| 13–7 | 0.03 | 45% | 27 Mar → | ||
| 25–23 | 0.05 | 32% | 24 Mar → | ||
| 16–19 | 0.04 | 31% | 22 Mar → | ||
| 8–13 | -0.01 | 20% | 21 Mar → | ||
| 1–13 | -0.06 | 22% | 21 Mar → | ||
| 13–5 | 0.13 | 39% | 21 Mar → | ||
| 16–14 | -0.04 | 28% | 21 Mar → | ||
| 16–13 | 0.08 | 39% | 21 Mar → | ||
| 13–7 | 0.02 | 35% | 21 Mar → | ||
| 13–6 | 0.07 | 52% | 20 Mar → | ||
| 7–13 | 0.01 | 38% | 20 Mar → | ||
| 11–13 | 0.02 | 35% | 19 Mar → | ||
| 3–13 | -0.05 | 38% | 18 Mar → | ||
| cache_b | 10–13 | -0.01 | 20% | 15 Mar → | |
| 7–13 | -0.02 | 20% | 15 Mar → | ||
| 13–8 | 0.10 | 44% | 11 Mar → | ||
| 9–13 | 0.01 | 29% | 10 Mar → | ||
| 13–8 | 0.04 | 40% | 10 Mar → | ||
| 13–6 | -0.05 | 33% | 10 Mar → | ||
| 9–13 | 0.04 | 27% | 3 Mar → | ||
| 13–10 | -0.01 | 27% | 3 Mar → | ||
| 13–8 | 0.01 | 29% | 3 Mar → | ||
| 1–13 | -0.07 | 0% | 1 Mar → | ||
| 13–8 | -0.06 | 26% | 1 Mar → | ||
| 15–15 | 0.01 | 30% | 28 Feb → | ||
| 13–0 | 0.10 | 58% | 28 Feb → | ||
| 9–13 | 0.03 | 24% | 28 Feb → | ||
| 13–6 | 0.14 | 39% | 28 Feb → | ||
| 2–13 | 0.07 | 53% | 28 Feb → | ||
| 11–13 | 0.07 | 40% | 28 Feb → | ||
| 13–3 | 0.04 | 34% | 28 Feb → | ||
| 8–13 | 0.06 | 42% | 28 Feb → | ||
| 13–9 | 0.00 | 32% | 27 Feb → | ||
| 16–14 | -0.02 | 16% | 27 Feb → | ||
| 13–5 | 0.10 | 29% | 25 Feb → | ||
| 6–13 | -0.06 | 46% | 25 Feb → | ||
| 13–10 | 0.06 | 39% | 24 Feb → | ||
| 13–5 | -0.03 | 34% | 24 Feb → | ||
| 7–13 | -0.06 | 32% | 24 Feb → | ||
| 13–7 | -0.01 | 33% | 24 Feb → | ||
| 8–13 | 0.00 | 21% | 23 Feb → | ||
| 13–10 | 0.04 | 27% | 23 Feb → | ||
| 13–8 | -0.04 | 33% | 23 Feb → | ||
| 13–8 | 0.01 | 26% | 23 Feb → | ||
| 13–6 | 0.15 | 35% | 21 Feb → | ||
| 10–13 | 0.02 | 35% | 15 Feb → | ||
| 9–13 | -0.02 | 27% | 15 Feb → | ||
| 13–5 | 0.05 | 36% | 15 Feb → | ||
| 6–13 | 0.03 | 46% | 14 Feb → | ||
| 11–13 | -0.00 | 32% | 14 Feb → | ||
| 13–1 | -0.06 | 17% | 14 Feb → | ||
| 5–13 | -0.01 | 27% | 14 Feb → | ||
| 13–11 | 0.01 | 34% | 14 Feb → | ||
| 13–5 | 0.00 | 41% | 14 Feb → | ||
| 13–8 | 0.04 | 32% | 11 Feb → | ||
| 1–13 | -0.06 | 38% | 11 Feb → | ||
| 16–12 | 0.05 | 30% | 10 Feb → | ||
| 11–13 | 0.05 | 24% | 10 Feb → | ||
| 3–13 | -0.05 | 71% | 9 Feb → | ||
| 13–10 | 0.06 | 27% | 9 Feb → | ||
| cache_b | 13–5 | 0.07 | 40% | 9 Feb → | |
| 13–8 | 0.03 | 24% | 8 Feb → | ||
| 4–13 | -0.04 | 30% | 8 Feb → | ||
| 13–11 | 0.04 | 41% | 7 Feb → | ||
| 9–13 | -0.02 | 24% | 7 Feb → | ||
| 13–9 | 0.02 | 27% | 6 Feb → | ||
| 13–9 | 0.03 | 42% | 6 Feb → | ||
| 13–3 | 0.10 | 36% | 6 Feb → | ||
| 13–7 | -0.01 | 26% | 5 Feb → | ||
| 13–10 | 0.04 | 21% | 5 Feb → | ||
| 7–13 | 0.03 | 32% | 5 Feb → | ||
| 23–25 | 0.03 | 26% | 5 Feb → | ||
| 13–8 | 0.07 | 39% | 3 Feb → | ||
| 13–1 | 0.01 | 26% | 3 Feb → |
Match data via Leetify.