Tanknique — CS2 Stats
76561198128802864[U:1:168537136]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 40.0% | 52.8% | 12.7% short |
| Shot accuracy | 11.9% | 13.7% | 1.8% short |
| Kill/death ratio | 1.16 | 1.08 | above |
| Match win rate | 46.6% | 49.2% | 2.5% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, 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. 574ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 24 | 12–12 | 50% | 0.01 | |
| B | 19 | 9–10 | 47% | 0.01 | |
| S | 17 | 11–6 | 65% | 0.01 | |
| A | 14 | 8–6 | 57% | 0.04 | |
| D | 13 | 3–10 | 23% | -0.02 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 107 | 50% | 1.17 | 16.4 |
| Mirage | 100 | 51% | 1.19 | 16.4 |
| Anubis | 89 | 52% | 1.16 | 17.0 |
| Ancient | 50 | 54% | 1.12 | 16.0 |
| Vertigo | 42 | 48% | 1.21 | 17.4 |
| Nuke | 34 | 47% | 1.23 | 16.9 |
| Dust2 | 14 | 64% | 1.24 | 18.9 |
| Train | 4 | 25% | 0.97 | 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.
23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.01 | 29% | 27 Aug → | ||
| 13–11 | 0.03 | 13% | 27 Aug → | ||
| 13–7 | -0.02 | 18% | 27 Aug → | ||
| 13–10 | 0.10 | 17% | 27 Aug → | ||
| 13–7 | 0.00 | 9% | 27 Aug → | ||
| 5–13 | -0.06 | 11% | 27 Aug → | ||
| 6–13 | -0.00 | 22% | 26 Aug → | ||
| 13–4 | 0.09 | 26% | 23 Aug → | ||
| 5–13 | -0.04 | 14% | 23 Aug → | ||
| 7–13 | 0.02 | 20% | 23 Aug → | ||
| 13–11 | -0.04 | 23% | 22 Aug → | ||
| 13–11 | 0.03 | 30% | 22 Aug → | ||
| 13–11 | 0.09 | 19% | 22 Aug → | ||
| 16–12 | -0.00 | 18% | 22 Aug → | ||
| 13–5 | 0.08 | 21% | 22 Aug → | ||
| 14–16 | 0.02 | 17% | 22 Aug → | ||
| 13–2 | 0.09 | 11% | 21 Aug → | ||
| 12–16 | 0.02 | 40% | 21 Aug → | ||
| 11–13 | 0.01 | 6% | 21 Aug → | ||
| 10–13 | -0.01 | 10% | 21 Aug → | ||
| 13–9 | 0.01 | 28% | 21 Aug → | ||
| 16–14 | 0.04 | 26% | 15 Aug → | ||
| 8–13 | -0.08 | 17% | 15 Aug → | ||
| 13–11 | 0.02 | 16% | 14 Aug → | ||
| 10–13 | -0.03 | 19% | 14 Aug → | ||
| 13–11 | 0.04 | 18% | 14 Aug → | ||
| 13–9 | 0.03 | 11% | 14 Aug → | ||
| 13–4 | 0.12 | 43% | 14 Aug → | ||
| 1–13 | -0.06 | 29% | 14 Aug → | ||
| 7–13 | 0.05 | 21% | 12 Aug → | ||
| 13–6 | 0.03 | 22% | 12 Aug → | ||
| 15–15 | -0.01 | 15% | 10 Aug → | ||
| 8–13 | -0.07 | 13% | 10 Aug → | ||
| 13–8 | -0.03 | 11% | 10 Aug → | ||
| 13–11 | 0.07 | 13% | 10 Aug → | ||
| 7–13 | -0.06 | 15% | 10 Aug → | ||
| 3–13 | -0.08 | 33% | 10 Aug → | ||
| 10–13 | 0.01 | 22% | 9 Aug → | ||
| 11–13 | -0.02 | 19% | 9 Aug → | ||
| 13–7 | 0.15 | 25% | 9 Aug → | ||
| 7–13 | -0.01 | 27% | 9 Aug → | ||
| 13–3 | 0.02 | 21% | 9 Aug → | ||
| 13–5 | 0.05 | 29% | 31 Jul → | ||
| 13–10 | -0.00 | 19% | 25 Jul → | ||
| 13–8 | 0.02 | 8% | 25 Jul → | ||
| 16–12 | 0.04 | 33% | 25 Jul → | ||
| 13–10 | 0.04 | 10% | 25 Jul → | ||
| 2–13 | -0.00 | 25% | 25 Jul → | ||
| 12–16 | -0.02 | 12% | 19 Jul → | ||
| 13–7 | 0.01 | 23% | 19 Jul → | ||
| 9–2 | 0.03 | 14% | 19 Jul → | ||
| 6–13 | -0.07 | 21% | 19 Jul → | ||
| 11–13 | 0.03 | 21% | 18 Jul → | ||
| 11–13 | 0.01 | 22% | 18 Jul → | ||
| 16–14 | 0.02 | 26% | 18 Jul → | ||
| 14–16 | 0.04 | 20% | 18 Jul → | ||
| 13–9 | 0.05 | 31% | 11 Jul → | ||
| 13–5 | 0.04 | 18% | 11 Jul → | ||
| 13–4 | -0.02 | 33% | 11 Jul → | ||
| 13–5 | 0.05 | 12% | 11 Jul → | ||
| 14–16 | -0.04 | 36% | 11 Jul → | ||
| 13–7 | 0.03 | 24% | 10 Jul → | ||
| 2–13 | -0.09 | 9% | 10 Jul → | ||
| 13–10 | 0.00 | 14% | 10 Jul → | ||
| 3–13 | -0.01 | 15% | 10 Jul → | ||
| 7–13 | -0.03 | 10% | 10 Jul → | ||
| 2–6 | 0.05 | 45% | 10 Jul → | ||
| 13–5 | 0.11 | 45% | 10 Jul → | ||
| 7–13 | -0.04 | 25% | 10 Jul → | ||
| 7–13 | -0.02 | 30% | 29 Jun → | ||
| 10–13 | -0.01 | 16% | 28 Jun → | ||
| 16–14 | -0.01 | 22% | 27 Jun → | ||
| 15–15 | 0.01 | 32% | 27 Jun → | ||
| 15–15 | 0.00 | 26% | 27 Jun → | ||
| 15–15 | 0.02 | 27% | 27 Jun → | ||
| 13–11 | 0.01 | 11% | 14 Jun → | ||
| 13–11 | -0.00 | 6% | 14 Jun → | ||
| 16–12 | 0.07 | 24% | 14 Jun → | ||
| 13–7 | 0.08 | 18% | 13 Jun → | ||
| 13–2 | 0.05 | 17% | 13 Jun → | ||
| 11–13 | 0.01 | 15% | 13 Jun → | ||
| 8–3 | -0.02 | 13% | 13 Jun → | ||
| 9–13 | -0.01 | 21% | 30 May → | ||
| 13–11 | 0.05 | 17% | 30 May → | ||
| 9–13 | -0.02 | 23% | 30 May → | ||
| 4–13 | -0.00 | 10% | 30 May → | ||
| 13–6 | -0.03 | 17% | 29 May → | ||
| 3–13 | -0.08 | 15% | 29 May → | ||
| 7–0 | 0.14 | 28% | 29 May → | ||
| 13–5 | 0.04 | 50% | 29 May → | ||
| 12–16 | -0.02 | 20% | 29 May → | ||
| 7–13 | -0.01 | 19% | 29 May → | ||
| 13–7 | -0.03 | 8% | 29 May → | ||
| 13–11 | 0.06 | 15% | 28 May → | ||
| 15–15 | -0.00 | 6% | 28 May → | ||
| 8–13 | -0.01 | 14% | 26 May → | ||
| 9–13 | 0.04 | 22% | 26 May → | ||
| 9–13 | -0.00 | 19% | 26 May → | ||
| 4–13 | 0.05 | 16% | 25 May → | ||
| 13–11 | 0.02 | 18% | 25 May → |
Match data via Leetify.