tgirl biter — CS2 Stats
US76561198076290516[U:1:116024788]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
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 55% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
Reaction time. 790ms 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 2.3/10 (Learning), 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 | 30 | 15–15 | 50% | -0.07 | |
| C | 18 | 8–10 | 44% | -0.05 | |
| D | 13 | 4–9 | 31% | -0.05 | |
| D | 13 | 4–9 | 31% | -0.06 | |
| D | 6 | 1–5 | 17% | -0.05 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.07 | |
| — | 4 | 1–3 | 25% | -0.11 | |
| — | 4 | 1–3 | 25% | -0.07 | |
| office | — | 2 | 0–2 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.7629° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.5204% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 789.5875ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.04 | 13% | 25 Aug → | ||
| 3–13 | -0.09 | 6% | 25 Aug → | ||
| 13–11 | -0.06 | 10% | 22 Aug → | ||
| 13–2 | 0.01 | 5% | 22 Aug → | ||
| 13–8 | -0.06 | 0% | 21 Aug → | ||
| 10–13 | -0.06 | 18% | 21 Aug → | ||
| 11–13 | -0.10 | 18% | 15 Aug → | ||
| 12–12 | -0.10 | 11% | 15 Aug → | ||
| 8–13 | -0.10 | 7% | 20 Jul → | ||
| 9–13 | -0.13 | 8% | 8 Jul → | ||
| 12–12 | -0.02 | 6% | 7 Jul → | ||
| 13–4 | -0.03 | 13% | 2 Jul → | ||
| 7–13 | -0.05 | 15% | 2 Jul → | ||
| 12–4 | -0.02 | 33% | 2 Jul → | ||
| 2–13 | -0.07 | 11% | 29 Jun → | ||
| 13–5 | -0.05 | 27% | 29 Jun → | ||
| 9–8 | -0.12 | 7% | 27 Jun → | ||
| 13–7 | -0.12 | 3% | 22 Jun → | ||
| 6–13 | -0.05 | 7% | 22 Jun → | ||
| 13–6 | -0.09 | 20% | 22 Jun → | ||
| 9–13 | -0.07 | 6% | 20 Jun → | ||
| 5–13 | -0.05 | 5% | 20 Jun → | ||
| 13–8 | -0.08 | 13% | 16 Jun → | ||
| 13–9 | -0.06 | 11% | 16 Jun → | ||
| 9–13 | -0.12 | 14% | 15 Jun → | ||
| 5–13 | -0.03 | 17% | 11 Jun → | ||
| 13–6 | -0.03 | 12% | 11 Jun → | ||
| 11–1 | 0.04 | 15% | 11 Jun → | ||
| 6–2 | -0.02 | 5% | 11 Jun → | ||
| 0–2 | -0.06 | 0% | 11 Jun → | ||
| 6–13 | -0.07 | 9% | 9 Jun → | ||
| 8–13 | -0.03 | 6% | 9 Jun → | ||
| 8–13 | -0.06 | 3% | 9 Jun → | ||
| 13–6 | -0.02 | 13% | 9 Jun → | ||
| 13–10 | -0.13 | 11% | 8 Jun → | ||
| 13–5 | -0.13 | 24% | 8 Jun → | ||
| 13–9 | -0.13 | 11% | 6 Jun → | ||
| 13–9 | -0.06 | 18% | 6 Jun → | ||
| 4–13 | -0.07 | 15% | 6 Jun → | ||
| 13–9 | -0.09 | 7% | 5 Jun → | ||
| 13–6 | -0.04 | 9% | 5 Jun → | ||
| 3–5 | -0.15 | 0% | 4 Jun → | ||
| 12–12 | -0.08 | 8% | 4 Jun → | ||
| 12–12 | -0.02 | 7% | 2 Jun → | ||
| 13–3 | 0.02 | 15% | 2 Jun → | ||
| 10–13 | -0.05 | 13% | 2 Jun → | ||
| 4–13 | -0.12 | 4% | 1 Jun → | ||
| 7–13 | -0.06 | 7% | 1 Jun → | ||
| 8–13 | -0.05 | 15% | 1 Jun → | ||
| 7–13 | -0.14 | 4% | 31 May → | ||
| 11–13 | -0.08 | 6% | 31 May → | ||
| 13–11 | -0.05 | 8% | 29 May → | ||
| 7–13 | -0.08 | 9% | 29 May → | ||
| 7–13 | -0.11 | 0% | 29 May → | ||
| 12–12 | -0.04 | 14% | 29 May → | ||
| 4–13 | -0.03 | 7% | 29 May → | ||
| 2–5 | -0.06 | 9% | 29 May → | ||
| 13–10 | -0.08 | 9% | 29 May → | ||
| 11–13 | -0.04 | 9% | 29 May → | ||
| 6–9 | -0.11 | 19% | 29 May → | ||
| 8–13 | -0.10 | 6% | 29 May → | ||
| 0–4 | -0.03 | 0% | 28 May → | ||
| 13–9 | -0.05 | 9% | 28 May → | ||
| 10–13 | -0.06 | 7% | 28 May → | ||
| 13–6 | 0.02 | 16% | 28 May → | ||
| 13–3 | 0.07 | 14% | 28 May → | ||
| 8–13 | -0.07 | 9% | 28 May → | ||
| 1–13 | -0.13 | 7% | 28 May → | ||
| 8–13 | -0.09 | 5% | 27 May → | ||
| 12–12 | -0.07 | 13% | 26 May → | ||
| 7–13 | -0.05 | 13% | 26 May → | ||
| 6–13 | -0.11 | 11% | 26 May → | ||
| 13–9 | -0.00 | 9% | 26 May → | ||
| 11–13 | -0.04 | 15% | 26 May → | ||
| 10–13 | -0.06 | 0% | 26 May → | ||
| 10–13 | -0.06 | 16% | 24 May → | ||
| 13–10 | -0.09 | 0% | 24 May → | ||
| 13–2 | -0.09 | 5% | 24 May → | ||
| 13–6 | -0.06 | 12% | 23 May → | ||
| 13–8 | -0.00 | 18% | 23 May → | ||
| 13–2 | -0.02 | 18% | 23 May → | ||
| 13–7 | -0.11 | 17% | 23 May → | ||
| 13–10 | -0.04 | 8% | 23 May → | ||
| 11–13 | -0.03 | 8% | 23 May → | ||
| 12–12 | -0.08 | 6% | 22 May → | ||
| 10–13 | -0.05 | 11% | 21 May → | ||
| 8–13 | -0.08 | 12% | 21 May → | ||
| 13–9 | 0.02 | 10% | 21 May → | ||
| 2–13 | -0.07 | 15% | 21 May → | ||
| 13–7 | -0.04 | 20% | 20 May → | ||
| 6–13 | -0.06 | 9% | 20 May → | ||
| 9–13 | -0.08 | 17% | 20 May → | ||
| office | 9–13 | -0.04 | 3% | 20 May → | |
| 9–13 | -0.10 | 6% | 20 May → | ||
| 13–5 | 0.02 | 11% | 19 May → | ||
| 6–13 | -0.05 | 5% | 19 May → | ||
| 13–9 | -0.05 | 6% | 19 May → | ||
| 2–13 | -0.08 | 4% | 19 May → | ||
| office | 11–13 | -0.07 | 13% | 18 May → | |
| 13–6 | 0.05 | 12% | 18 May → |
Match data via Leetify.
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