zach — CS2 Stats
CA76561199432996478[U:1:1472730750]Steam profile ↗
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 donk 94% playstyle similarity
Most alike: utility contribution, positioning 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 62% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 588ms 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 (×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 | 27 | 15–12 | 56% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| B | 14 | 7–7 | 50% | 0.00 | |
| C | 14 | 6–8 | 43% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| D | 11 | 3–8 | 27% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| office | — | 1 | 1–0 | 100% | 0.13 |
| — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 477 | 49% | 1.09 | 16.1 |
| Dust2 | 362 | 52% | 1.12 | 16.8 |
| Ancient | 265 | 49% | 1.10 | 15.9 |
| Inferno | 241 | 49% | 1.07 | 16.4 |
| Anubis | 237 | 51% | 1.13 | 16.5 |
| Nuke | 104 | 42% | 1.09 | 15.9 |
| Overpass | 76 | 43% | 1.12 | 16.3 |
| Train | 54 | 50% | 1.03 | 16.3 |
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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.09 | 23% | 29 Aug → | ||
| 13–3 | -0.03 | 20% | 29 Aug → | ||
| 13–6 | 0.07 | 28% | 29 Aug → | ||
| 13–4 | 0.09 | 36% | 29 Aug → | ||
| 12–12 | 0.14 | 19% | 29 Aug → | ||
| 11–5 | -0.03 | 15% | 28 Aug → | ||
| 13–7 | -0.01 | 13% | 28 Aug → | ||
| 9–13 | 0.07 | 21% | 28 Aug → | ||
| 13–1 | 0.20 | 25% | 28 Aug → | ||
| 3–0 | -0.03 | 20% | 28 Aug → | ||
| 7–13 | 0.00 | 30% | 27 Aug → | ||
| 13–9 | 0.01 | 17% | 27 Aug → | ||
| 6–13 | 0.09 | 12% | 27 Aug → | ||
| 1–13 | -0.00 | 17% | 27 Aug → | ||
| 13–4 | 0.07 | 14% | 26 Aug → | ||
| 13–5 | 0.16 | 20% | 26 Aug → | ||
| 12–12 | 0.12 | 21% | 26 Aug → | ||
| 13–2 | 0.16 | 17% | 26 Aug → | ||
| 12–12 | 0.03 | 34% | 26 Aug → | ||
| 13–5 | 0.08 | 45% | 25 Aug → | ||
| 8–13 | 0.04 | 22% | 25 Aug → | ||
| 5–13 | -0.02 | 16% | 25 Aug → | ||
| 10–13 | -0.04 | 23% | 20 Aug → | ||
| 12–12 | 0.05 | 20% | 18 Aug → | ||
| 13–3 | 0.11 | 19% | 18 Aug → | ||
| 10–13 | -0.05 | 14% | 13 Aug → | ||
| 0–13 | -0.04 | 23% | 13 Aug → | ||
| 16–14 | 0.02 | 19% | 12 Aug → | ||
| 6–13 | -0.02 | 6% | 12 Aug → | ||
| 13–3 | 0.07 | 31% | 11 Aug → | ||
| 13–10 | -0.05 | 18% | 11 Aug → | ||
| 10–13 | 0.05 | 16% | 10 Aug → | ||
| 13–10 | 0.00 | 10% | 10 Aug → | ||
| 11–13 | -0.03 | 28% | 7 Aug → | ||
| 11–13 | 0.05 | 20% | 6 Aug → | ||
| 13–9 | 0.06 | 48% | 6 Aug → | ||
| 13–3 | 0.05 | 20% | 5 Aug → | ||
| 13–9 | -0.00 | 23% | 30 Jul → | ||
| 13–10 | -0.03 | 13% | 30 Jul → | ||
| 9–13 | 0.01 | 15% | 24 Jul → | ||
| 7–13 | 0.04 | 33% | 21 Jul → | ||
| 13–5 | 0.05 | 39% | 17 Jul → | ||
| 16–19 | -0.05 | 10% | 17 Jul → | ||
| 11–13 | -0.07 | 17% | 16 Jul → | ||
| 13–9 | -0.04 | 6% | 10 Jul → | ||
| 13–8 | -0.06 | 27% | 7 Jul → | ||
| 13–5 | -0.05 | 6% | 3 Jul → | ||
| 13–7 | -0.01 | 24% | 2 Jul → | ||
| 10–13 | 0.02 | 17% | 2 Jul → | ||
| 13–11 | -0.00 | 28% | 30 Jun → | ||
| 3–13 | -0.04 | 20% | 22 Jun → | ||
| 4–9 | 0.06 | 14% | 19 Jun → | ||
| 5–9 | 0.04 | 7% | 18 Jun → | ||
| 13–11 | 0.02 | 22% | 16 Jun → | ||
| 13–8 | -0.03 | 12% | 16 Jun → | ||
| 6–13 | -0.06 | 25% | 16 Jun → | ||
| 6–13 | 0.02 | 25% | 11 Jun → | ||
| 13–10 | 0.04 | 18% | 11 Jun → | ||
| 3–13 | -0.04 | 9% | 7 Jun → | ||
| 4–13 | -0.04 | 21% | 7 Jun → | ||
| 8–13 | -0.02 | 13% | 2 Jun → | ||
| 12–12 | 0.06 | 20% | 31 May → | ||
| 7–13 | 0.03 | 20% | 31 May → | ||
| 13–11 | -0.03 | 16% | 30 May → | ||
| 19–17 | 0.02 | 12% | 30 May → | ||
| 11–13 | 0.00 | 11% | 30 May → | ||
| 13–11 | 0.01 | 14% | 30 May → | ||
| 13–6 | 0.00 | 13% | 29 May → | ||
| 16–14 | 0.00 | 16% | 28 May → | ||
| 13–10 | -0.06 | 10% | 26 May → | ||
| 8–13 | -0.04 | 23% | 25 May → | ||
| 9–13 | -0.08 | 7% | 24 May → | ||
| 10–13 | -0.00 | 18% | 22 May → | ||
| 9–13 | 0.02 | 32% | 21 May → | ||
| 6–13 | -0.03 | 16% | 20 May → | ||
| 3–13 | -0.08 | 7% | 20 May → | ||
| 9–13 | 0.07 | 10% | 18 May → | ||
| 12–12 | 0.01 | 21% | 18 May → | ||
| 13–5 | 0.00 | 24% | 18 May → | ||
| 1–13 | -0.04 | 9% | 18 May → | ||
| office | 13–3 | 0.13 | 22% | 18 May → | |
| 13–10 | 0.03 | 28% | 17 May → | ||
| 14–16 | -0.02 | 26% | 14 May → | ||
| 13–6 | 0.04 | 9% | 14 May → | ||
| 6–13 | 0.01 | 29% | 14 May → | ||
| 13–3 | -0.02 | 26% | 13 May → | ||
| 13–11 | 0.01 | 10% | 11 May → | ||
| 8–13 | 0.05 | 23% | 8 May → | ||
| 13–5 | 0.01 | 20% | 6 May → | ||
| 3–13 | -0.03 | 17% | 5 May → | ||
| 10–13 | -0.03 | 19% | 5 May → | ||
| 13–11 | 0.07 | 26% | 2 May → | ||
| 13–16 | -0.02 | 21% | 2 May → | ||
| 13–6 | 0.08 | 28% | 29 Apr → | ||
| 7–13 | -0.08 | 4% | 29 Apr → | ||
| 4–13 | -0.07 | 21% | 29 Apr → | ||
| 13–7 | -0.01 | 20% | 29 Apr → | ||
| 13–10 | -0.04 | 17% | 27 Apr → | ||
| 7–11 | 0.08 | 31% | 27 Apr → | ||
| 13–9 | 0.05 | 12% | 25 Apr → |
Match data via Leetify.