tatentots — CS2 Stats
76561199085276079[U:1:1125010351]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.06 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 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
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 58% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 596ms 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 5.7/10 (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 |
|---|---|---|---|---|---|
| D | 18 | 6–12 | 33% | 0.07 | |
| B | 17 | 8–9 | 47% | 0.05 | |
| D | 11 | 3–8 | 27% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| D | 9 | 2–7 | 22% | 0.06 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| office | A | 5 | 3–2 | 60% | 0.02 |
| — | 4 | 1–3 | 25% | 0.06 | |
| — | 4 | 0–4 | 0% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| warden | — | 3 | 1–2 | 33% | 0.05 |
| shelter | — | 2 | 0–2 | 0% | -0.02 |
| boulder | — | 2 | 1–1 | 50% | 0.08 |
| fachwerk | — | 1 | 1–0 | 100% | 0.13 |
| debris | — | 1 | 0–1 | 0% | -0.10 |
| alpine | — | 1 | 1–0 | 100% | 0.17 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 67% | 1.25 | 9.7 |
| Inferno | 2 | 100% | 1.38 | 17.0 |
| Ancient | 1 | 0% | 0.57 | 12.0 |
| Anubis | 1 | 0% | 1.62 | 26.0 |
| Nuke | 1 | 0% | 0.50 | 8.0 |
| Mirage | 1 | 100% | 1.20 | 12.0 |
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 0.4201 — 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 30.8158% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 45% | 27 Aug → | ||
| 13–7 | 0.16 | 17% | 26 Aug → | ||
| 9–13 | 0.05 | 15% | 26 Aug → | ||
| 13–4 | 0.02 | 27% | 26 Aug → | ||
| 3–8 | -0.01 | 0% | 24 Aug → | ||
| 13–3 | 0.18 | 28% | 22 Aug → | ||
| 13–4 | 0.18 | 16% | 21 Aug → | ||
| 12–12 | 0.08 | 15% | 21 Aug → | ||
| 2–13 | 0.03 | 21% | 21 Aug → | ||
| 2–13 | 0.06 | 17% | 21 Aug → | ||
| 8–13 | 0.02 | 13% | 20 Aug → | ||
| office | 3–13 | 0.08 | 11% | 20 Aug → | |
| 8–13 | -0.01 | 17% | 20 Aug → | ||
| 5–13 | -0.09 | 11% | 20 Aug → | ||
| fachwerk | 13–6 | 0.13 | 16% | 20 Aug → | |
| shelter | 2–13 | -0.09 | 0% | 20 Aug → | |
| 10–13 | 0.11 | 22% | 20 Aug → | ||
| 5–13 | 0.04 | 16% | 19 Aug → | ||
| 13–10 | 0.04 | 19% | 19 Aug → | ||
| office | 13–11 | -0.05 | 13% | 18 Aug → | |
| 11–13 | 0.08 | 11% | 17 Aug → | ||
| 13–9 | 0.03 | 28% | 17 Aug → | ||
| office | 13–5 | 0.10 | 4% | 17 Aug → | |
| 13–9 | 0.05 | 15% | 15 Aug → | ||
| 5–13 | -0.06 | 17% | 15 Aug → | ||
| 12–12 | 0.17 | 22% | 15 Aug → | ||
| boulder | 6–13 | 0.11 | 21% | 15 Aug → | |
| boulder | 13–9 | 0.05 | 12% | 15 Aug → | |
| shelter | 5–13 | 0.04 | 28% | 13 Aug → | |
| 13–6 | 0.10 | 26% | 8 Aug → | ||
| 3–13 | 0.11 | 20% | 6 Aug → | ||
| 8–13 | 0.12 | 14% | 5 Aug → | ||
| 8–13 | 0.05 | 11% | 5 Aug → | ||
| 12–12 | 0.03 | 14% | 4 Aug → | ||
| 13–5 | -0.02 | 11% | 4 Aug → | ||
| 8–13 | -0.03 | 15% | 3 Aug → | ||
| 13–5 | 0.03 | 10% | 3 Aug → | ||
| 13–10 | 0.22 | 18% | 2 Aug → | ||
| 7–13 | 0.04 | 17% | 30 Jul → | ||
| debris | 4–9 | -0.10 | 20% | 22 Jul → | |
| 13–8 | 0.18 | 21% | 22 Jul → | ||
| 5–13 | -0.03 | 17% | 22 Jul → | ||
| 9–13 | 0.15 | 23% | 17 Jul → | ||
| 13–3 | 0.08 | 20% | 17 Jul → | ||
| 12–12 | 0.07 | 18% | 13 Jul → | ||
| 6–4 | -0.05 | 14% | 13 Jul → | ||
| 13–10 | 0.06 | 10% | 6 Jul → | ||
| 11–13 | 0.15 | 21% | 3 Jul → | ||
| 5–13 | 0.05 | 29% | 27 Jun → | ||
| 6–13 | 0.02 | 11% | 27 Jun → | ||
| 6–13 | -0.02 | 13% | 26 Jun → | ||
| 13–10 | 0.09 | 14% | 26 Jun → | ||
| warden | 13–4 | 0.09 | 17% | 25 Jun → | |
| 4–13 | 0.04 | 15% | 25 Jun → | ||
| 3–13 | -0.01 | 16% | 25 Jun → | ||
| warden | 6–13 | 0.05 | 10% | 22 Jun → | |
| 13–2 | 0.12 | 22% | 22 Jun → | ||
| 9–13 | 0.11 | 29% | 19 Jun → | ||
| 6–13 | -0.00 | 17% | 19 Jun → | ||
| 13–8 | 0.01 | 17% | 19 Jun → | ||
| 13–10 | 0.04 | 17% | 18 Jun → | ||
| 9–13 | -0.00 | 15% | 17 Jun → | ||
| 12–12 | 0.10 | 22% | 8 Jun → | ||
| 9–13 | -0.05 | 18% | 8 Jun → | ||
| 6–13 | 0.06 | 12% | 6 Jun → | ||
| 13–5 | 0.03 | 5% | 6 Jun → | ||
| 7–13 | 0.04 | 25% | 6 Jun → | ||
| 13–8 | 0.03 | 23% | 3 Jun → | ||
| 13–11 | 0.02 | 15% | 3 Jun → | ||
| 13–8 | -0.07 | 11% | 3 Jun → | ||
| 3–13 | -0.00 | 8% | 1 Jun → | ||
| 4–13 | 0.10 | 16% | 1 Jun → | ||
| 2–13 | 0.00 | 10% | 1 Jun → | ||
| 9–13 | 0.02 | 15% | 1 Jun → | ||
| 11–13 | 0.04 | 23% | 1 Jun → | ||
| 0–4 | -0.01 | 0% | 1 Jun → | ||
| 4–13 | 0.00 | 19% | 30 May → | ||
| 3–13 | 0.05 | 40% | 30 May → | ||
| 4–13 | 0.16 | 40% | 30 May → | ||
| 13–3 | 0.15 | 29% | 30 May → | ||
| 13–8 | 0.03 | 8% | 29 May → | ||
| 6–13 | -0.04 | 21% | 23 May → | ||
| 13–6 | 0.09 | 26% | 23 May → | ||
| 9–13 | 0.01 | 43% | 23 May → | ||
| 11–13 | 0.01 | 23% | 21 May → | ||
| 1–13 | -0.13 | 10% | 21 May → | ||
| 13–11 | 0.09 | 16% | 20 May → | ||
| 13–5 | 0.15 | 19% | 19 May → | ||
| 12–12 | 0.05 | 22% | 19 May → | ||
| office | 13–9 | 0.01 | 22% | 16 May → | |
| office | 8–13 | -0.04 | 32% | 16 May → | |
| 3–13 | 0.06 | 15% | 9 May → | ||
| 3–13 | 0.02 | 26% | 9 May → | ||
| 9–13 | 0.02 | 14% | 8 May → | ||
| alpine | 12–1 | 0.17 | 27% | 8 May → | |
| 9–13 | 0.01 | 17% | 6 May → | ||
| 7–13 | 0.01 | 19% | 5 May → | ||
| warden | 5–13 | 0.02 | 28% | 4 May → | |
| 1–2 | -0.07 | 0% | 3 May → | ||
| 1–13 | 0.04 | 21% | 3 May → |
Match data via Leetify.