tekky tekzz — CS2 Stats
GB76561199473337471[U:1:1513071743]Steam profile ↗
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 50.6% | 47.2% | 49.0% | above |
| Shot accuracy | 0.0% | 12.3% | 13.1% | 13.1% short |
| Kill/death ratio | 1.20 | 1.07 | 1.08 | above |
| Match win rate | 50.8% | 46.3% | 46.9% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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 · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited utility dependence
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 sh1ro 94% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution.
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 95 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 569ms 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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | A | 23 | 14–9 | 61% | 0.02 |
 dust2 | A | 22 | 14–8 | 64% | 0.01 |
 inferno | C | 12 | 5–7 | 42% | 0.06 |
 ancient | S | 11 | 8–3 | 73% | 0.03 |
 anubis | S | 8 | 6–2 | 75% | 0.02 |
 train | D | 6 | 2–4 | 33% | 0.06 |
 nuke | A | 5 | 3–2 | 60% | 0.04 |
 cache | — | 4 | 3–1 | 75% | 0.00 |
 overpass | — | 3 | 1–2 | 33% | 0.07 |
 vertigo | — | 2 | 0–2 | 0% | 0.08 |
| office | — | 2 | 0–2 | 0% | 0.01 |
| eldorado | — | 1 | 1–0 | 100% | 0.03 |
| rooftop | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 72 | 49% | 1.23 | 17.8 |
| Dust2 | 50 | 54% | 1.25 | 17.8 |
| Ancient | 27 | 52% | 1.43 | 20.9 |
| Nuke | 22 | 68% | 1.79 | 18.4 |
| Inferno | 19 | 47% | 1.11 | 15.7 |
| Anubis | 16 | 44% | 1.05 | 17.5 |
| Overpass | 5 | 40% | 1.37 | 16.6 |
| Cache | 3 | 100% | 1.02 | 14.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 10–13 | 0.03 | 32% | 29 Aug → | |
| cache | 6–13 | -0.05 | 37% | 29 Aug → | |
| inferno | 10–13 | 0.10 | 32% | 29 Aug → | |
| anubis | 7–1 | -0.04 | 40% | 26 Aug → | |
| dust2 | 1–9 | -0.07 | 22% | 24 Aug → | |
| cache | 13–5 | -0.01 | 24% | 23 Aug → | |
| mirage | 13–5 | 0.12 | 33% | 23 Aug → | |
| eldorado | 9–6 | 0.03 | 21% | 23 Aug → | |
| cache | 13–6 | 0.06 | 14% | 23 Aug → | |
| ancient | 8–3 | 0.22 | 32% | 23 Aug → | |
| inferno | 9–13 | 0.16 | 20% | 23 Aug → | |
| overpass | 13–4 | 0.24 | 21% | 23 Aug → | |
| anubis | 2–2 | 0.05 | 13% | 23 Aug → | |
| mirage | 13–10 | 0.09 | 20% | 23 Aug → | |
| mirage | 13–7 | 0.01 | 29% | 23 Aug → | |
| nuke | 1–5 | -0.02 | 17% | 22 Aug → | |
| ancient | 6–13 | -0.05 | 21% | 21 Aug → | |
| inferno | 13–6 | 0.05 | 23% | 21 Aug → | |
| mirage | 11–13 | 0.03 | 27% | 21 Aug → | |
| dust2 | 7–13 | -0.03 | 30% | 21 Aug → | |
| inferno | 13–7 | 0.16 | 27% | 21 Aug → | |
| inferno | 13–4 | 0.07 | 31% | 21 Aug → | |
| mirage | 9–13 | 0.07 | 21% | 21 Aug → | |
| inferno | 8–13 | 0.01 | 22% | 21 Aug → | |
| train | 12–1 | 0.09 | 35% | 21 Aug → | |
| train | 8–13 | 0.10 | 25% | 21 Aug → | |
| nuke | 13–11 | 0.09 | 15% | 21 Aug → | |
| ancient | 13–8 | 0.02 | 12% | 20 Aug → | |
| cache | 13–8 | 0.01 | 24% | 20 Aug → | |
| mirage | 13–4 | 0.09 | 23% | 19 Aug → | |
| dust2 | 13–6 | 0.08 | 23% | 19 Aug → | |
| dust2 | 13–2 | -0.00 | 28% | 19 Aug → | |
| nuke | 13–7 | 0.00 | 21% | 18 Aug → | |
| dust2 | 13–8 | 0.11 | 15% | 18 Aug → | |
| dust2 | 13–8 | 0.03 | 20% | 18 Aug → | |
| dust2 | 13–10 | 0.10 | 11% | 17 Aug → | |
| ancient | 13–7 | 0.08 | 20% | 17 Aug → | |
| anubis | 8–1 | 0.08 | 17% | 17 Aug → | |
| mirage | 12–12 | 0.04 | 26% | 17 Aug → | |
| ancient | 13–9 | 0.02 | 31% | 9 Jul → | |
| mirage | 3–13 | -0.10 | 34% | 30 Jun → | |
| ancient | 13–11 | 0.06 | 15% | 29 Jun → | |
| dust2 | 13–9 | 0.04 | 27% | 29 Jun → | |
| mirage | 13–6 | 0.09 | 30% | 22 Jun → | |
| mirage | 7–13 | -0.04 | 30% | 22 Jun → | |
| mirage | 13–8 | -0.04 | 30% | 21 Jun → | |
| mirage | 13–5 | -0.03 | 32% | 21 Jun → | |
| ancient | 13–4 | 0.02 | 14% | 21 Jun → | |
| mirage | 3–6 | -0.02 | 21% | 20 Jun → | |
| ancient | 13–9 | 0.03 | 29% | 16 Jun → | |
| train | 1–13 | 0.08 | 25% | 27 May → | |
| mirage | 8–13 | -0.05 | 24% | 21 May → | |
| anubis | 13–11 | -0.00 | 19% | 17 May → | |
| dust2 | 13–10 | 0.02 | 33% | 10 May → | |
| dust2 | 8–13 | -0.06 | 14% | 6 May → | |
| dust2 | 11–13 | 0.02 | 20% | 23 Apr → | |
| train | 13–3 | 0.12 | 30% | 22 Apr → | |
| inferno | 6–13 | -0.03 | 22% | 21 Apr → | |
| mirage | 13–10 | 0.14 | 29% | 20 Apr → | |
| ancient | 13–9 | 0.03 | 21% | 20 Apr → | |
| mirage | 13–3 | 0.03 | 29% | 2 Apr → | |
| mirage | 6–13 | 0.00 | 28% | 14 Mar → | |
| nuke | 13–5 | 0.08 | 22% | 11 Mar → | |
| overpass | 2–13 | -0.02 | 37% | 11 Mar → | |
| inferno | 2–9 | 0.07 | 20% | 11 Mar → | |
| anubis | 13–4 | 0.03 | 28% | 8 Mar → | |
| dust2 | 13–4 | -0.02 | 62% | 7 Mar → | |
| dust2 | 13–7 | 0.05 | 26% | 7 Mar → | |
| train | 0–5 | -0.04 | 33% | 7 Mar → | |
| train | 11–13 | 0.01 | 22% | 3 Mar → | |
| nuke | 4–10 | 0.05 | 21% | 20 Feb → | |
| mirage | 13–3 | 0.03 | 44% | 20 Feb → | |
| dust2 | 13–4 | 0.01 | 21% | 20 Feb → | |
| anubis | 13–8 | 0.03 | 29% | 20 Feb → | |
| mirage | 13–6 | -0.04 | 27% | 20 Feb → | |
| dust2 | 13–3 | 0.02 | 31% | 20 Feb → | |
| dust2 | 7–13 | -0.07 | 20% | 19 Feb → | |
| overpass | 11–13 | -0.02 | 10% | 19 Feb → | |
| dust2 | 13–11 | -0.03 | 43% | 14 Feb → | |
| anubis | 13–4 | 0.01 | 21% | 14 Feb → | |
| vertigo | 6–9 | 0.13 | 38% | 12 Feb → | |
| anubis | 10–13 | -0.01 | 22% | 4 Feb → | |
| mirage | 13–8 | 0.06 | 18% | 26 Jan → | |
| office | 3–11 | 0.00 | 18% | 25 Jan → | |
| office | 10–13 | 0.03 | 20% | 25 Jan → | |
| inferno | 13–10 | 0.07 | 25% | 21 Jan → | |
| dust2 | 13–10 | -0.05 | 31% | 21 Jan → | |
| mirage | 25–23 | 0.01 | 15% | 21 Jan → | |
| dust2 | 13–4 | 0.09 | 38% | 17 Jan → | |
| inferno | 19–15 | 0.03 | 19% | 16 Jan → | |
| ancient | 9–13 | -0.03 | 18% | 14 Jan → | |
| inferno | 15–15 | 0.04 | 15% | 11 Jan → | |
| mirage | 9–13 | 0.06 | 15% | 11 Jan → | |
| inferno | 8–13 | -0.01 | 27% | 10 Jan → | |
| dust2 | 2–13 | 0.02 | 41% | 10 Jan → | |
| dust2 | 5–13 | -0.05 | 17% | 9 Jan → | |
| vertigo | 5–9 | 0.04 | 23% | 9 Jan → | |
| rooftop | 4–9 | -0.05 | 20% | 8 Jan → | |
| mirage | 13–10 | -0.04 | 25% | 8 Jan → | |
| ancient | 1–5 | -0.04 | 20% | 8 Jan → |
Match data via Leetify.