trem do rj — CS2 Stats
76561198178895303[U:1:218629575]✓ No bans
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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.
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 Twistzz 90% playstyle similarity
Most alike: positioning profile, 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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 75 — grenade impact well above the norm.
Areas to improve
Reaction time. 614ms 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 6.2/10 (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 | 34 | 20–14 | 59% | 0.00 | |
| A | 25 | 16–9 | 64% | 0.00 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| S | 12 | 10–2 | 83% | 0.02 | |
| D | 8 | 1–7 | 13% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| — | 2 | 2–0 | 100% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.06 | |
| poseidon | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1062 | 61% | 1.17 | 15.5 |
| Anubis | 263 | 64% | 1.11 | 15.8 |
| Ancient | 259 | 63% | 1.15 | 15.3 |
| Dust2 | 236 | 65% | 1.09 | 15.1 |
| Vertigo | 81 | 67% | 1.27 | 17.5 |
| Nuke | 71 | 58% | 1.08 | 15.9 |
| Inferno | 28 | 50% | 1.13 | 16.1 |
| Train | 20 | 60% | 1.14 | 16.0 |
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 37.114% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.02 | 29% | 24 Aug → | ||
| 3–13 | -0.10 | 23% | 24 Aug → | ||
| 13–5 | 0.11 | 23% | 12 Aug → | ||
| 13–11 | -0.02 | 22% | 6 Aug → | ||
| 11–13 | -0.00 | 28% | 8 Jun → | ||
| 13–5 | 0.02 | 45% | 1 Jun → | ||
| 13–9 | 0.04 | 19% | 1 Jun → | ||
| 13–6 | 0.05 | 25% | 22 May → | ||
| 13–5 | 0.03 | 30% | 22 May → | ||
| 9–13 | 0.01 | 24% | 21 May → | ||
| 11–13 | 0.00 | 22% | 21 May → | ||
| 8–13 | 0.02 | 30% | 21 May → | ||
| 12–5 | 0.07 | 15% | 21 May → | ||
| 13–6 | -0.06 | 19% | 21 May → | ||
| 13–16 | -0.04 | 24% | 21 May → | ||
| 14–16 | 0.04 | 23% | 19 May → | ||
| 3–13 | 0.04 | 27% | 19 May → | ||
| 5–13 | -0.09 | 17% | 19 May → | ||
| 13–1 | -0.02 | 18% | 18 May → | ||
| 13–2 | 0.08 | 20% | 18 May → | ||
| 4–13 | -0.03 | 28% | 17 May → | ||
| 10–13 | -0.01 | 32% | 17 May → | ||
| 9–13 | -0.02 | 24% | 16 May → | ||
| 13–8 | 0.02 | 24% | 16 May → | ||
| 11–13 | 0.02 | 33% | 16 May → | ||
| 13–7 | 0.02 | 17% | 16 May → | ||
| 13–7 | 0.00 | 35% | 16 May → | ||
| 9–13 | -0.07 | 28% | 16 May → | ||
| 10–13 | -0.02 | 17% | 15 May → | ||
| 6–13 | -0.05 | 21% | 15 May → | ||
| 13–10 | 0.01 | 22% | 15 May → | ||
| 9–6 | 0.06 | 31% | 14 May → | ||
| 9–4 | 0.12 | 17% | 14 May → | ||
| poseidon | 4–9 | -0.01 | 29% | 14 May → | |
| 9–6 | 0.12 | 18% | 14 May → | ||
| 13–9 | 0.04 | 14% | 13 May → | ||
| 2–13 | -0.10 | 15% | 13 May → | ||
| 7–13 | 0.04 | 24% | 13 May → | ||
| 13–6 | 0.02 | 17% | 13 May → | ||
| 13–4 | 0.10 | 42% | 13 May → | ||
| 13–11 | -0.07 | 21% | 13 May → | ||
| 10–13 | -0.01 | 48% | 12 May → | ||
| 13–1 | -0.01 | 14% | 12 May → | ||
| 13–6 | 0.01 | 11% | 12 May → | ||
| 13–5 | 0.03 | 29% | 11 May → | ||
| 13–10 | 0.02 | 19% | 7 May → | ||
| 11–13 | 0.01 | 23% | 7 May → | ||
| 7–13 | -0.01 | 10% | 18 Apr → | ||
| 13–7 | -0.03 | 18% | 10 Apr → | ||
| 13–6 | 0.06 | 32% | 10 Apr → | ||
| 13–10 | 0.00 | 22% | 10 Apr → | ||
| 9–13 | 0.01 | 15% | 26 Mar → | ||
| 13–6 | 0.06 | 33% | 25 Mar → | ||
| 10–13 | -0.02 | 14% | 23 Mar → | ||
| 15–19 | -0.01 | 14% | 23 Mar → | ||
| 7–13 | -0.05 | 29% | 20 Mar → | ||
| 8–13 | -0.04 | 11% | 20 Mar → | ||
| 13–3 | -0.02 | 30% | 4 Mar → | ||
| 13–4 | 0.08 | 19% | 4 Mar → | ||
| 14–16 | -0.05 | 21% | 4 Mar → | ||
| 11–13 | -0.04 | 14% | 3 Mar → | ||
| 13–8 | -0.02 | 18% | 3 Mar → | ||
| 13–9 | 0.05 | 23% | 3 Mar → | ||
| 13–7 | -0.00 | 32% | 3 Mar → | ||
| 13–11 | 0.15 | 20% | 3 Mar → | ||
| 13–11 | 0.03 | 29% | 2 Mar → | ||
| 13–11 | 0.02 | 27% | 27 Feb → | ||
| 9–13 | 0.00 | 24% | 27 Feb → | ||
| 13–11 | -0.02 | 15% | 26 Feb → | ||
| 13–4 | 0.05 | 18% | 26 Feb → | ||
| 6–13 | -0.06 | 27% | 26 Feb → | ||
| 13–8 | 0.02 | 25% | 26 Feb → | ||
| 9–13 | -0.06 | 18% | 26 Feb → | ||
| 13–9 | 0.05 | 13% | 25 Feb → | ||
| 6–13 | 0.03 | 26% | 25 Feb → | ||
| 13–3 | 0.11 | 45% | 25 Feb → | ||
| 13–11 | -0.02 | 16% | 25 Feb → | ||
| 13–5 | 0.03 | 29% | 24 Feb → | ||
| 13–9 | 0.01 | 17% | 24 Feb → | ||
| 13–9 | 0.03 | 25% | 24 Feb → | ||
| 13–16 | 0.03 | 19% | 24 Feb → | ||
| 8–13 | -0.05 | 16% | 23 Feb → | ||
| 10–13 | 0.05 | 25% | 23 Feb → | ||
| 13–6 | 0.04 | 23% | 7 Feb → | ||
| 14–7 | 0.00 | 17% | 18 Jan → | ||
| 13–1 | 0.01 | 14% | 17 Jan → | ||
| 13–8 | 0.05 | 22% | 14 Jan → | ||
| 13–7 | -0.01 | 18% | 14 Jan → | ||
| 7–13 | -0.05 | 29% | 13 Jan → | ||
| 13–11 | 0.02 | 28% | 25 Dec → | ||
| 13–8 | -0.02 | 19% | 9 Dec → | ||
| 13–8 | 0.08 | 22% | 25 Nov → | ||
| 13–7 | 0.10 | 22% | 23 Nov → | ||
| 13–7 | 0.01 | 30% | 12 Oct → | ||
| 3–13 | -0.07 | 5% | 12 Oct → | ||
| 11–13 | -0.05 | 21% | 12 Oct → | ||
| 5–13 | -0.10 | 14% | 10 Oct → | ||
| 16–14 | 0.06 | 26% | 10 Oct → | ||
| 13–6 | 0.03 | 23% | 10 Oct → | ||
| 5–13 | -0.06 | 22% | 8 Oct → |
Match data via Leetify.
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