Rote Tomate — CS2 Stats
76561197967636061[U:1:7370333]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 41.1% | 48.1% |
| Shot accuracy | 12.9% | 12.9% |
| Kill/death ratio | 0.92 | 1.08 |
| Match win rate | 48.5% | 46.5% |
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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: Support — Utility contribution leads the profile while opening activity stays low.
Effective flashesHigh utility contribution
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 NiKo 83% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 621ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 43 | 26–17 | 60% | 0.02 | |
| D | 14 | 4–10 | 29% | -0.02 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.03 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| D | 8 | 2–6 | 25% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 1 | 100% | 1.07 | 15.0 |
| Anubis | 1 | 0% | 0.54 | 15.0 |
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.
- 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 31.6934% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.05 | 11% | 12 Aug → | ||
| 13–4 | 0.08 | 13% | 12 Aug → | ||
| 13–4 | -0.01 | 25% | 9 Aug → | ||
| 3–13 | -0.09 | 25% | 9 Aug → | ||
| 10–13 | -0.01 | 11% | 8 Aug → | ||
| 13–5 | 0.03 | 14% | 8 Aug → | ||
| 13–11 | 0.04 | 15% | 8 Aug → | ||
| 7–13 | -0.02 | 23% | 8 Aug → | ||
| 3–13 | -0.09 | 16% | 8 Aug → | ||
| 13–5 | -0.01 | 12% | 8 Aug → | ||
| 1–13 | -0.06 | 9% | 8 Aug → | ||
| 11–13 | -0.06 | 16% | 8 Aug → | ||
| 4–7 | -0.02 | 27% | 8 Aug → | ||
| 2–13 | -0.01 | 14% | 7 Aug → | ||
| 13–11 | -0.01 | 17% | 5 Aug → | ||
| 13–11 | -0.08 | 9% | 5 Aug → | ||
| 9–13 | -0.05 | 10% | 5 Aug → | ||
| 13–5 | -0.01 | 11% | 4 Aug → | ||
| 9–13 | 0.03 | 22% | 2 Aug → | ||
| 16–12 | 0.02 | 18% | 2 Aug → | ||
| 13–11 | -0.08 | 27% | 2 Aug → | ||
| 10–13 | -0.03 | 4% | 29 Jul → | ||
| 13–11 | -0.01 | 20% | 26 Jul → | ||
| 13–9 | 0.05 | 21% | 25 Jul → | ||
| 13–2 | 0.00 | 8% | 24 Jul → | ||
| 9–13 | 0.06 | 22% | 24 Jul → | ||
| 13–9 | 0.03 | 26% | 24 Jul → | ||
| 15–15 | 0.00 | 18% | 19 Jul → | ||
| 13–9 | 0.03 | 8% | 19 Jul → | ||
| 7–13 | -0.06 | 15% | 19 Jul → | ||
| 6–13 | 0.03 | 21% | 18 Jul → | ||
| 13–5 | -0.02 | 24% | 18 Jul → | ||
| 13–6 | 0.02 | 4% | 18 Jul → | ||
| 6–13 | 0.13 | 34% | 17 Jul → | ||
| 16–14 | -0.01 | 28% | 17 Jul → | ||
| 13–7 | -0.02 | 16% | 17 Jul → | ||
| 13–6 | 0.06 | 13% | 17 Jul → | ||
| 13–9 | 0.01 | 26% | 17 Jul → | ||
| 10–13 | 0.01 | 21% | 16 Jul → | ||
| 13–10 | 0.00 | 20% | 16 Jul → | ||
| 6–13 | -0.02 | 12% | 16 Jul → | ||
| 13–8 | 0.02 | 12% | 16 Jul → | ||
| 11–13 | 0.02 | 17% | 11 Jul → | ||
| 10–13 | -0.03 | 23% | 11 Jul → | ||
| 5–13 | 0.01 | 13% | 11 Jul → | ||
| 13–10 | -0.00 | 7% | 10 Jul → | ||
| 5–13 | 0.00 | 17% | 10 Jul → | ||
| 11–13 | -0.05 | 7% | 10 Jul → | ||
| 13–2 | -0.01 | 5% | 10 Jul → | ||
| 13–8 | -0.02 | 14% | 10 Jul → | ||
| 13–7 | 0.07 | 15% | 10 Jul → | ||
| 13–10 | 0.01 | 9% | 10 Jul → | ||
| 3–1 | -0.09 | 40% | 10 Jul → | ||
| 13–10 | -0.04 | 10% | 10 Jul → | ||
| 15–15 | 0.00 | 13% | 9 Jul → | ||
| 13–8 | 0.02 | 16% | 9 Jul → | ||
| 13–11 | 0.07 | 24% | 9 Jul → | ||
| 13–16 | -0.05 | 15% | 9 Jul → | ||
| 13–7 | 0.07 | 17% | 9 Jul → | ||
| 3–13 | 0.01 | 22% | 9 Jul → | ||
| 15–15 | 0.03 | 15% | 9 Jul → | ||
| 13–3 | 0.07 | 13% | 9 Jul → | ||
| 4–13 | -0.05 | 11% | 9 Jul → | ||
| 1–13 | -0.06 | 22% | 9 Jul → | ||
| 9–13 | 0.08 | 21% | 8 Jul → | ||
| 9–13 | 0.15 | 21% | 8 Jul → | ||
| 13–11 | 0.03 | 16% | 8 Jul → | ||
| 13–11 | 0.06 | 16% | 8 Jul → | ||
| 5–13 | -0.01 | 10% | 5 Jul → | ||
| 7–13 | -0.05 | 8% | 5 Jul → | ||
| 13–6 | -0.01 | 20% | 5 Jul → | ||
| 13–3 | 0.07 | 19% | 5 Jul → | ||
| 15–15 | 0.03 | 24% | 5 Jul → | ||
| 13–7 | 0.07 | 14% | 5 Jul → | ||
| 13–5 | 0.03 | 9% | 5 Jul → | ||
| 11–13 | -0.00 | 13% | 5 Jul → | ||
| 13–6 | 0.01 | 17% | 5 Jul → | ||
| 14–16 | 0.05 | 9% | 5 Jul → | ||
| 7–13 | -0.05 | 32% | 5 Jul → | ||
| 11–13 | -0.06 | 13% | 4 Jul → | ||
| 13–6 | -0.01 | 19% | 4 Jul → | ||
| 8–13 | -0.02 | 16% | 4 Jul → | ||
| 13–9 | 0.05 | 16% | 4 Jul → | ||
| 13–11 | 0.05 | 19% | 4 Jul → | ||
| 5–13 | -0.04 | 7% | 3 Jul → | ||
| 13–8 | -0.03 | 18% | 3 Jul → | ||
| 8–13 | -0.05 | 13% | 3 Jul → | ||
| 4–13 | -0.05 | 15% | 3 Jul → | ||
| 13–11 | 0.03 | 16% | 3 Jul → | ||
| 10–13 | -0.03 | 8% | 3 Jul → | ||
| 11–13 | 0.01 | 12% | 3 Jul → | ||
| 13–3 | -0.03 | 11% | 3 Jul → | ||
| 13–16 | 0.01 | 14% | 3 Jul → | ||
| 2–13 | -0.06 | 15% | 1 Jul → | ||
| 13–9 | 0.02 | 14% | 30 Jun → | ||
| 15–15 | 0.04 | 23% | 29 Jun → | ||
| 12–16 | -0.06 | 19% | 29 Jun → | ||
| 9–13 | -0.01 | 16% | 29 Jun → | ||
| 5–13 | -0.01 | 8% | 29 Jun → | ||
| 5–13 | -0.05 | 17% | 28 Jun → |
Match data via Leetify.