•GOD• — CS2 Stats
US76561198301799127[U:1:341533399]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 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 60% 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
T-side openings. Opening success drops from 35% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 732ms 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 2.5/10 (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 98 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 |
|---|---|---|---|---|---|
| C | 51 | 20–31 | 39% | -0.02 | |
| B | 24 | 11–13 | 46% | -0.03 | |
| C | 13 | 5–8 | 38% | -0.03 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.09 | |
| — | 1 | 1–0 | 100% | 0.13 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 98 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke 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.
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 12.8306° — 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 14.9927% — 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 731.5037ms — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.07 | 20% | 2 Aug → | ||
| 12–12 | -0.03 | 22% | 2 Aug → | ||
| 7–13 | -0.05 | 28% | 2 Aug → | ||
| 9–13 | -0.09 | 14% | 31 Jul → | ||
| 2–13 | 0.02 | 11% | 30 Jul → | ||
| 1–13 | -0.07 | 18% | 30 Jul → | ||
| 3–13 | -0.04 | 18% | 29 Jul → | ||
| 12–12 | -0.06 | 10% | 29 Jul → | ||
| 8–13 | -0.03 | 17% | 28 Jul → | ||
| 8–0 | 0.04 | 40% | 26 Jul → | ||
| 13–10 | -0.04 | 16% | 25 Jul → | ||
| 2–9 | -0.17 | 4% | 24 Jul → | ||
| 1–9 | -0.12 | 24% | 24 Jul → | ||
| 3–9 | -0.11 | 25% | 24 Jul → | ||
| 8–8 | 0.17 | 25% | 23 Jul → | ||
| 12–12 | -0.02 | 15% | 23 Jul → | ||
| 9–7 | -0.00 | 17% | 23 Jul → | ||
| 9–6 | -0.03 | 12% | 23 Jul → | ||
| 8–8 | -0.06 | 15% | 21 Jul → | ||
| 5–13 | -0.06 | 8% | 20 Jul → | ||
| 8–13 | -0.06 | 11% | 20 Jul → | ||
| 13–4 | 0.01 | 15% | 18 Jul → | ||
| 1–13 | -0.08 | 5% | 18 Jul → | ||
| 0–9 | -0.29 | 18% | 16 Jul → | ||
| 1–13 | -0.02 | 29% | 16 Jul → | ||
| 13–3 | -0.04 | 17% | 16 Jul → | ||
| 3–0 | 0.01 | 33% | 16 Jul → | ||
| 2–13 | -0.09 | 9% | 24 Aug → | ||
| 13–8 | 0.13 | 19% | 24 Aug → | ||
| 5–3 | -0.02 | 10% | 24 Aug → | ||
| 13–5 | -0.05 | 2% | 23 Aug → | ||
| 13–2 | -0.03 | 8% | 22 Aug → | ||
| 4–13 | -0.05 | 12% | 22 Aug → | ||
| 4–13 | 0.03 | 17% | 18 Aug → | ||
| 6–13 | -0.10 | 14% | 18 Aug → | ||
| 13–9 | -0.05 | 11% | 17 Aug → | ||
| 13–11 | -0.05 | 9% | 16 Aug → | ||
| 12–12 | -0.07 | 22% | 16 Aug → | ||
| 2–13 | -0.01 | 20% | 7 Aug → | ||
| 10–13 | -0.05 | 9% | 4 Aug → | ||
| 4–13 | -0.11 | 12% | 4 Aug → | ||
| 13–7 | -0.08 | 13% | 4 Aug → | ||
| 13–4 | -0.01 | 6% | 4 Aug → | ||
| 2–13 | -0.04 | 12% | 4 Aug → | ||
| 16–8 | -0.05 | 9% | 15 Feb → | ||
| 16–7 | 0.09 | 16% | 3 Jan → | ||
| 16–12 | -0.08 | 50% | 28 Dec → | ||
| 16–10 | -0.08 | 2% | 18 Dec → | ||
| 15–15 | -0.06 | 5% | 16 Dec → | ||
| 16–10 | -0.02 | 7% | 13 Dec → | ||
| 6–16 | -0.02 | 8% | 10 Dec → | ||
| 2–9 | -0.11 | 0% | 4 Dec → | ||
| 9–7 | -0.09 | 0% | 27 Nov → | ||
| 4–9 | 0.02 | 14% | 24 Nov → | ||
| 4–9 | -0.07 | 21% | 20 Nov → | ||
| 1–9 | -0.16 | 0% | 15 Nov → | ||
| 9–1 | 0.09 | 21% | 15 Nov → | ||
| 6–9 | -0.03 | 12% | 15 Nov → | ||
| 2–16 | 0.00 | 5% | 4 Aug → | ||
| 14–16 | 0.00 | 8% | 4 Aug → | ||
| 7–16 | 0.00 | 7% | 17 Jul → | ||
| 11–16 | 0.00 | 13% | 26 May → | ||
| 5–16 | 0.00 | 4% | 23 May → | ||
| 14–16 | 0.00 | 14% | 23 May → | ||
| 16–11 | 0.00 | 11% | 22 May → | ||
| 12–16 | 0.00 | 13% | 20 May → | ||
| 16–11 | 0.00 | 11% | 19 May → | ||
| 10–16 | 0.00 | 9% | 17 May → | ||
| 16–2 | 0.00 | 3% | 17 May → | ||
| 1–8 | 0.00 | 0% | 15 May → | ||
| 4–16 | 0.00 | 7% | 6 May → | ||
| 16–10 | 0.00 | 8% | 5 May → | ||
| 16–9 | 0.00 | 4% | 4 May → | ||
| 3–8 | 0.00 | 4% | 3 May → | ||
| 7–16 | 0.00 | 0% | 3 May → | ||
| 15–15 | 0.00 | 13% | 2 May → | ||
| 3–16 | 0.00 | 0% | 30 Apr → | ||
| 6–16 | 0.00 | 13% | 30 Apr → | ||
| 16–1 | 0.00 | 19% | 27 Apr → | ||
| 11–16 | 0.00 | 10% | 26 Apr → | ||
| 16–12 | 0.00 | 6% | 24 Apr → | ||
| 10–4 | 0.00 | 13% | 24 Apr → | ||
| 6–16 | 0.00 | 7% | 23 Apr → | ||
| 11–16 | 0.00 | 3% | 21 Apr → | ||
| 16–9 | 0.00 | 5% | 21 Apr → | ||
| 13–16 | 0.00 | 13% | 21 Apr → | ||
| 16–8 | 0.00 | 7% | 21 Apr → | ||
| 16–13 | 0.00 | 5% | 20 Apr → | ||
| 16–6 | 0.00 | 7% | 20 Apr → | ||
| 16–5 | 0.00 | 7% | 19 Apr → | ||
| 2–16 | 0.00 | 16% | 19 Apr → | ||
| 16–14 | 0.00 | 7% | 16 Apr → | ||
| 10–16 | 0.00 | 3% | 15 Apr → | ||
| 16–9 | 0.00 | 10% | 15 Apr → | ||
| 5–16 | 0.00 | 15% | 15 Apr → | ||
| 8–14 | 0.00 | 8% | 15 Apr → | ||
| 8–6 | 0.00 | 8% | 13 Apr → | ||
| 2–5 | 0.00 | 0% | 13 Apr → |
Match data via Leetify.