Tpocc — CS2 Stats
76561199060140803[U:1:1099875075]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 45.3% | 40.1% | above |
| Shot accuracy | 3.9% | 7.6% | 3.7% short |
| Kill/death ratio | 0.89 | 0.92 | 0.02 short |
| Match win rate | 33.5% | 42.2% | 8.7% short |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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
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 86% playstyle similarity
Most alike: opening-duel success, 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
Areas to improve
Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 22 | 14–8 | 64% | -0.00 | |
| B | 17 | 9–8 | 53% | -0.02 | |
| C | 16 | 7–9 | 44% | -0.02 | |
| S | 14 | 10–4 | 71% | 0.00 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| office | — | 2 | 1–1 | 50% | 0.09 |
| — | 2 | 0–2 | 0% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 15 | 53% | 0.94 | 13.1 |
| Mirage | 10 | 50% | 0.86 | 13.6 |
| Inferno | 5 | 40% | 0.83 | 16.0 |
| Anubis | 5 | 80% | 1.20 | 18.8 |
| Ancient | 5 | 20% | 1.07 | 18.0 |
| Nuke | 5 | 40% | 0.89 | 14.4 |
| Overpass | 1 | 100% | 0.47 | 7.0 |
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 37.5793% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.03 | 26% | 29 Aug → | ||
| 13–11 | 0.06 | 24% | 28 Aug → | ||
| 10–13 | -0.01 | 28% | 28 Aug → | ||
| 13–6 | 0.06 | 29% | 22 Aug → | ||
| 13–10 | 0.00 | 13% | 16 Aug → | ||
| 16–14 | 0.05 | 22% | 16 Aug → | ||
| 8–8 | -0.01 | 20% | 15 Aug → | ||
| 11–13 | 0.03 | 19% | 15 Aug → | ||
| 3–13 | 0.00 | 39% | 15 Aug → | ||
| 9–13 | 0.02 | 19% | 14 Aug → | ||
| 13–9 | 0.00 | 23% | 9 Aug → | ||
| 16–14 | 0.03 | 22% | 7 Aug → | ||
| 2–13 | -0.02 | 22% | 2 Aug → | ||
| 6–13 | 0.01 | 16% | 2 Aug → | ||
| 9–4 | -0.01 | 13% | 2 Aug → | ||
| 13–9 | -0.07 | 38% | 1 Aug → | ||
| 13–6 | 0.05 | 26% | 1 Aug → | ||
| 13–9 | 0.02 | 17% | 1 Aug → | ||
| 13–7 | 0.11 | 20% | 31 Jul → | ||
| 12–12 | -0.03 | 18% | 27 Jul → | ||
| 4–13 | -0.02 | 17% | 17 Jul → | ||
| 2–13 | -0.07 | 17% | 17 Jul → | ||
| 2–13 | -0.02 | 23% | 16 Jul → | ||
| 13–11 | -0.01 | 13% | 15 Jul → | ||
| 10–13 | -0.01 | 13% | 14 Jul → | ||
| 10–13 | -0.01 | 8% | 13 Jul → | ||
| 8–13 | -0.03 | 20% | 13 Jul → | ||
| 13–8 | 0.06 | 13% | 12 Jul → | ||
| 8–13 | -0.00 | 20% | 12 Jul → | ||
| 13–4 | 0.12 | 27% | 11 Jul → | ||
| 13–9 | -0.03 | 31% | 11 Jul → | ||
| 13–7 | -0.02 | 11% | 9 Jul → | ||
| 13–4 | 0.09 | 33% | 9 Jul → | ||
| 4–13 | -0.07 | 32% | 9 Jul → | ||
| office | 13–4 | 0.19 | 38% | 8 Jul → | |
| office | 7–13 | -0.01 | 16% | 8 Jul → | |
| 11–13 | 0.04 | 26% | 7 Jul → | ||
| 12–12 | -0.10 | 20% | 7 Jul → | ||
| 14–16 | -0.04 | 26% | 6 Jul → | ||
| 6–13 | -0.01 | 31% | 6 Jul → | ||
| 5–9 | -0.00 | 12% | 5 Jul → | ||
| 13–9 | -0.05 | 7% | 4 Jul → | ||
| 2–13 | -0.06 | 10% | 3 Jul → | ||
| 13–2 | 0.03 | 13% | 3 Jul → | ||
| 15–15 | -0.08 | 15% | 1 Jul → | ||
| 11–13 | 0.03 | 23% | 28 Jun → | ||
| 13–4 | -0.04 | 17% | 28 Jun → | ||
| 7–13 | -0.07 | 17% | 28 Jun → | ||
| 12–12 | 0.01 | 16% | 26 Jun → | ||
| 13–7 | 0.03 | 14% | 25 Jun → | ||
| 13–11 | 0.02 | 16% | 22 Jun → | ||
| 9–4 | -0.02 | 28% | 22 Jun → | ||
| 6–9 | 0.08 | 20% | 22 Jun → | ||
| 9–7 | -0.01 | 9% | 22 Jun → | ||
| 10–13 | -0.03 | 24% | 21 Jun → | ||
| 13–3 | 0.05 | 19% | 21 Jun → | ||
| 13–9 | -0.01 | 20% | 21 Jun → | ||
| 13–6 | 0.01 | 5% | 21 Jun → | ||
| 9–13 | -0.05 | 8% | 20 Jun → | ||
| 13–9 | 0.01 | 10% | 19 Jun → | ||
| 14–16 | -0.07 | 20% | 18 Jun → | ||
| 13–6 | -0.03 | 11% | 18 Jun → | ||
| 13–9 | 0.05 | 9% | 18 Jun → | ||
| 13–9 | 0.03 | 12% | 18 Jun → | ||
| 10–13 | 0.01 | 24% | 18 Jun → | ||
| 13–8 | 0.03 | 11% | 17 Jun → | ||
| 15–15 | -0.02 | 17% | 17 Jun → | ||
| 13–11 | -0.08 | 11% | 17 Jun → | ||
| 13–7 | 0.03 | 19% | 16 Jun → | ||
| 5–0 | 0.15 | 23% | 15 Jun → | ||
| 13–6 | -0.01 | 20% | 15 Jun → | ||
| 13–10 | -0.07 | 12% | 14 Jun → | ||
| 13–6 | 0.03 | 17% | 12 Jun → | ||
| 7–13 | 0.01 | 14% | 12 Jun → | ||
| 0–13 | -0.08 | 17% | 12 Jun → | ||
| 5–13 | 0.01 | 16% | 10 Jun → | ||
| 4–13 | -0.06 | 21% | 6 Jun → | ||
| 13–9 | 0.02 | 14% | 5 Jun → | ||
| 13–11 | -0.04 | 18% | 5 Jun → | ||
| 10–13 | -0.05 | 17% | 3 Jun → | ||
| 13–5 | 0.06 | 17% | 2 Jun → | ||
| 13–10 | -0.04 | 24% | 1 Jun → | ||
| 13–10 | 0.03 | 16% | 1 Jun → | ||
| 13–4 | 0.05 | 13% | 31 May → | ||
| 13–2 | -0.01 | 15% | 30 May → | ||
| 13–6 | 0.02 | 13% | 30 May → | ||
| 13–9 | -0.01 | 16% | 30 May → | ||
| 5–0 | 0.01 | 33% | 29 May → | ||
| 13–2 | -0.03 | 27% | 29 May → | ||
| 6–13 | 0.00 | 21% | 27 May → | ||
| 7–13 | -0.04 | 24% | 27 May → | ||
| 13–11 | -0.04 | 17% | 25 May → | ||
| 7–13 | 0.02 | 47% | 25 May → | ||
| 13–11 | -0.03 | 9% | 24 May → | ||
| 4–13 | -0.07 | 18% | 24 May → | ||
| 7–13 | 0.00 | 32% | 24 May → | ||
| 1–13 | -0.06 | 16% | 24 May → | ||
| 13–4 | 0.04 | 33% | 24 May → | ||
| 9–13 | -0.04 | 33% | 24 May → | ||
| 16–13 | -0.01 | 26% | 23 May → |
Match data via Leetify.