T3rg — CS2 Stats
76561199600619003[U:1:1640353275]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 58.7% | 51.9% |
| Shot accuracy | 0.0% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 43.8% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 b1t 96% playstyle similarity
Most alike: utility contribution, 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Flashes. 0.90 enemies blinded per flash — utility that consistently lands.
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 6.4/10 (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 94 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 | 26 | 14–12 | 54% | 0.03 | |
| C | 20 | 8–12 | 40% | 0.03 | |
| B | 17 | 9–8 | 53% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.04 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.08 | |
| — | 2 | 1–1 | 50% | 0.13 | |
| office | — | 1 | 0–1 | 0% | -0.05 |
| agency | — | 1 | 0–1 | 0% | 0.13 |
Across the last 94 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 175 | 50% | 1.18 | 17.4 |
| Anubis | 152 | 57% | 1.39 | 19.0 |
| Dust2 | 111 | 47% | 1.37 | 19.1 |
| Inferno | 98 | 59% | 1.37 | 18.5 |
| Ancient | 73 | 55% | 1.16 | 16.9 |
| Vertigo | 29 | 45% | 1.22 | 18.9 |
| Nuke | 29 | 38% | 1.17 | 18.3 |
| Overpass | 7 | 43% | 1.19 | 17.3 |
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 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.01 | 23% | 7 Jul → | ||
| 13–3 | -0.01 | 39% | 7 Jul → | ||
| 7–2 | 0.05 | 47% | 7 Jul → | ||
| 11–13 | 0.04 | 32% | 16 Jun → | ||
| 2–9 | -0.16 | 57% | 5 Jun → | ||
| 9–7 | 0.08 | 18% | 5 Jun → | ||
| 9–6 | 0.15 | 46% | 5 Jun → | ||
| 13–9 | 0.18 | 41% | 28 May → | ||
| 4–13 | 0.03 | 29% | 28 May → | ||
| 3–13 | -0.06 | 23% | 28 May → | ||
| 2–13 | -0.06 | 46% | 16 May → | ||
| 12–12 | 0.07 | 44% | 6 May → | ||
| 7–13 | -0.06 | 29% | 27 Apr → | ||
| 5–13 | -0.01 | 28% | 25 Apr → | ||
| 13–11 | 0.03 | 38% | 18 Apr → | ||
| 13–11 | 0.06 | 29% | 18 Apr → | ||
| 5–13 | -0.03 | 30% | 16 Apr → | ||
| 5–13 | 0.01 | 32% | 12 Apr → | ||
| 13–3 | 0.09 | 35% | 12 Apr → | ||
| 13–8 | 0.07 | 26% | 12 Apr → | ||
| 2–13 | 0.00 | 10% | 8 Apr → | ||
| 16–14 | 0.04 | 29% | 4 Apr → | ||
| 6–13 | 0.04 | 20% | 31 Mar → | ||
| 7–13 | 0.08 | 24% | 31 Mar → | ||
| office | 3–13 | -0.05 | 21% | 24 Mar → | |
| 9–13 | -0.01 | 15% | 19 Mar → | ||
| 3–13 | 0.05 | 21% | 17 Mar → | ||
| 16–13 | 0.04 | 14% | 15 Mar → | ||
| 16–14 | 0.02 | 20% | 15 Mar → | ||
| 13–8 | 0.01 | 23% | 10 Mar → | ||
| 13–9 | 0.06 | 28% | 7 Mar → | ||
| 7–13 | 0.04 | 32% | 24 Feb → | ||
| 8–13 | 0.00 | 35% | 21 Feb → | ||
| 10–13 | 0.02 | 23% | 18 Feb → | ||
| 7–13 | 0.06 | 48% | 7 Feb → | ||
| 13–10 | -0.00 | 27% | 6 Feb → | ||
| 13–7 | 0.10 | 44% | 6 Feb → | ||
| 13–2 | 0.08 | 49% | 6 Feb → | ||
| 5–13 | 0.01 | 24% | 2 Nov → | ||
| 6–13 | 0.01 | 28% | 28 Oct → | ||
| 13–7 | -0.05 | 20% | 11 Oct → | ||
| 13–6 | 0.05 | 32% | 31 Jul → | ||
| 15–15 | 0.09 | 33% | 23 Jul → | ||
| 13–5 | 0.12 | 24% | 23 Jul → | ||
| 13–11 | 0.04 | 27% | 19 Jul → | ||
| 3–13 | 0.01 | 15% | 13 Jul → | ||
| 13–8 | 0.04 | 18% | 5 Jul → | ||
| 13–11 | 0.06 | 42% | 3 Jul → | ||
| 3–13 | 0.01 | 38% | 2 Jul → | ||
| 8–13 | -0.01 | 22% | 21 Jun → | ||
| 11–13 | 0.02 | 26% | 19 Jun → | ||
| 15–15 | 0.04 | 27% | 15 Jun → | ||
| 13–4 | 0.06 | 35% | 9 Jun → | ||
| 6–13 | 0.07 | 32% | 6 Jun → | ||
| 13–4 | 0.06 | 30% | 5 Jun → | ||
| 10–5 | 0.14 | 40% | 29 May → | ||
| 8–13 | 0.07 | 40% | 26 May → | ||
| agency | 9–13 | 0.13 | 50% | 23 May → | |
| 13–6 | 0.04 | 28% | 23 May → | ||
| 11–13 | 0.00 | 25% | 22 May → | ||
| 0–4 | -0.28 | 0% | 22 May → | ||
| 13–9 | 0.03 | 23% | 22 May → | ||
| 13–7 | 0.08 | 26% | 21 May → | ||
| 13–5 | 0.13 | 36% | 19 May → | ||
| 15–15 | -0.02 | 43% | 14 May → | ||
| 6–13 | -0.05 | 24% | 9 May → | ||
| 13–9 | 0.12 | 30% | 7 May → | ||
| 13–1 | 0.03 | 27% | 7 May → | ||
| 13–11 | 0.09 | 23% | 7 May → | ||
| 11–13 | -0.05 | 21% | 6 May → | ||
| 10–13 | 0.03 | 34% | 6 May → | ||
| 13–3 | 0.15 | 34% | 29 Apr → | ||
| 10–13 | 0.08 | 40% | 29 Apr → | ||
| 12–12 | 0.07 | 22% | 19 Apr → | ||
| 7–13 | -0.03 | 18% | 19 Apr → | ||
| 13–11 | 0.06 | 37% | 19 Apr → | ||
| 6–13 | 0.04 | 18% | 17 Apr → | ||
| 13–7 | 0.08 | 16% | 17 Apr → | ||
| 13–7 | -0.02 | 26% | 16 Apr → | ||
| 13–7 | 0.02 | 30% | 16 Apr → | ||
| 13–2 | 0.01 | 35% | 16 Apr → | ||
| 13–6 | 0.02 | 35% | 15 Apr → | ||
| 5–13 | 0.01 | 32% | 9 Apr → | ||
| 4–13 | 0.04 | 47% | 9 Apr → | ||
| 5–2 | -0.01 | 58% | 5 Apr → | ||
| 13–3 | 0.07 | 40% | 1 Apr → | ||
| 13–9 | -0.06 | 22% | 30 Mar → | ||
| 10–13 | 0.01 | 21% | 27 Mar → | ||
| 13–2 | 0.15 | 31% | 24 Mar → | ||
| 12–12 | 0.07 | 40% | 22 Mar → | ||
| 13–6 | 0.05 | 19% | 27 Jan → | ||
| 13–5 | -0.03 | 10% | 24 Jan → | ||
| 13–8 | 0.03 | 14% | 19 Jan → | ||
| 11–13 | 0.03 | 34% | 15 Jan → |
Match data via Leetify.