Gabe itch — CS2 Stats
76561198201972436[U:1:241706708]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.04 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 70% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 770ms 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 2.8/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 19 | 10–9 | 53% | 0.00 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| D | 13 | 1–12 | 8% | -0.02 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.05 | |
| office | S | 6 | 4–2 | 67% | -0.04 |
| B | 6 | 3–3 | 50% | -0.00 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| grail | — | 4 | 2–2 | 50% | 0.01 |
| italy | — | 3 | 2–1 | 67% | -0.01 |
| palacio | — | 2 | 2–0 | 100% | 0.02 |
| — | 2 | 1–1 | 50% | -0.01 | |
| golden | — | 1 | 0–1 | 0% | 0.08 |
| dogtown | — | 1 | 0–1 | 0% | -0.15 |
| agency | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (8% 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 12.7419° — 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 14.8233% — 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 770.3828ms — 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.
8% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.05 | 13% | 3 Jun → | ||
| 4–13 | -0.08 | 7% | 28 May → | ||
| 2–13 | -0.06 | 18% | 26 May → | ||
| 13–11 | 0.02 | 15% | 21 May → | ||
| 9–13 | -0.08 | 9% | 19 May → | ||
| office | 13–5 | -0.09 | 18% | 17 May → | |
| 13–11 | -0.08 | 12% | 16 May → | ||
| 13–11 | 0.01 | 12% | 14 May → | ||
| 1–13 | -0.07 | 0% | 7 May → | ||
| 8–13 | -0.10 | 11% | 19 Jan → | ||
| italy | 10–13 | -0.05 | 14% | 7 Jan → | |
| 13–7 | 0.00 | 21% | 7 Jan → | ||
| office | 13–3 | -0.01 | 18% | 6 Jan → | |
| 4–13 | -0.00 | 15% | 6 Jan → | ||
| 7–9 | -0.01 | 18% | 4 Jan → | ||
| 9–7 | 0.06 | 28% | 4 Jan → | ||
| 7–9 | -0.11 | 17% | 29 Dec → | ||
| 10–13 | 0.02 | 18% | 27 Dec → | ||
| 2–9 | -0.00 | 20% | 24 Dec → | ||
| 7–13 | -0.01 | 7% | 20 Dec → | ||
| 13–2 | -0.04 | 11% | 20 Dec → | ||
| palacio | 13–6 | -0.03 | 16% | 19 Dec → | |
| palacio | 13–5 | 0.08 | 10% | 19 Dec → | |
| 3–13 | -0.00 | 33% | 19 Dec → | ||
| 9–13 | -0.03 | 14% | 18 Dec → | ||
| italy | 13–5 | -0.01 | 16% | 17 Dec → | |
| office | 13–3 | -0.04 | 33% | 17 Dec → | |
| 7–13 | -0.01 | 6% | 17 Dec → | ||
| 0–11 | -0.09 | 18% | 9 Nov → | ||
| 6–13 | 0.07 | 27% | 9 Nov → | ||
| 8–13 | -0.09 | 8% | 6 Nov → | ||
| 11–13 | -0.05 | 13% | 26 Oct → | ||
| golden | 7–5 | 0.08 | 24% | 24 Oct → | |
| 13–7 | -0.06 | 10% | 27 Sept → | ||
| 13–5 | -0.10 | 3% | 6 Sept → | ||
| 3–9 | -0.01 | 13% | 21 Aug → | ||
| 4–13 | -0.03 | 10% | 20 Aug → | ||
| 3–13 | -0.04 | 18% | 20 Aug → | ||
| 13–3 | 0.09 | 21% | 20 Aug → | ||
| 6–13 | -0.05 | 19% | 19 Aug → | ||
| 4–13 | -0.02 | 18% | 19 Aug → | ||
| 13–5 | -0.00 | 17% | 19 Aug → | ||
| 13–8 | -0.01 | 9% | 18 Aug → | ||
| 9–13 | -0.03 | 8% | 18 Aug → | ||
| 13–5 | 0.01 | 16% | 18 Aug → | ||
| grail | 5–5 | 0.07 | 10% | 18 Aug → | |
| 13–9 | 0.01 | 11% | 18 Aug → | ||
| 13–11 | -0.05 | 13% | 17 Aug → | ||
| 6–13 | -0.06 | 10% | 16 Aug → | ||
| 4–13 | -0.02 | 14% | 14 Aug → | ||
| office | 7–13 | -0.08 | 35% | 14 Aug → | |
| 8–13 | -0.07 | 9% | 14 Aug → | ||
| 11–13 | 0.01 | 11% | 11 Aug → | ||
| 13–7 | 0.09 | 10% | 11 Aug → | ||
| grail | 0–13 | -0.06 | 15% | 9 Aug → | |
| 10–13 | -0.01 | 8% | 9 Aug → | ||
| 4–13 | -0.08 | 8% | 8 Aug → | ||
| 13–8 | 0.00 | 19% | 8 Aug → | ||
| 13–9 | -0.05 | 13% | 7 Aug → | ||
| 13–11 | -0.06 | 20% | 7 Aug → | ||
| 8–3 | -0.09 | 27% | 7 Aug → | ||
| 7–13 | -0.03 | 22% | 6 Aug → | ||
| 13–9 | 0.02 | 15% | 6 Aug → | ||
| 13–8 | 0.06 | 11% | 5 Aug → | ||
| 9–13 | -0.00 | 14% | 5 Aug → | ||
| 10–13 | -0.08 | 18% | 4 Aug → | ||
| office | 13–5 | 0.04 | 31% | 4 Aug → | |
| 8–13 | -0.06 | 14% | 4 Aug → | ||
| 13–9 | 0.07 | 14% | 4 Aug → | ||
| 12–12 | 0.07 | 14% | 4 Aug → | ||
| 13–11 | -0.01 | 18% | 4 Aug → | ||
| 12–12 | -0.01 | 14% | 2 Aug → | ||
| 13–10 | 0.06 | 13% | 2 Aug → | ||
| 13–4 | 0.14 | 16% | 2 Aug → | ||
| 13–8 | -0.01 | 17% | 1 Aug → | ||
| 2–13 | -0.05 | 14% | 1 Aug → | ||
| grail | 13–5 | 0.01 | 13% | 1 Aug → | |
| 12–12 | -0.04 | 20% | 31 Jul → | ||
| office | 6–13 | -0.04 | 4% | 31 Jul → | |
| 11–13 | -0.00 | 18% | 31 Jul → | ||
| 7–13 | -0.06 | 20% | 31 Jul → | ||
| 13–10 | -0.01 | 10% | 31 Jul → | ||
| 6–13 | -0.00 | 12% | 28 Jul → | ||
| 13–10 | 0.05 | 9% | 28 Jul → | ||
| grail | 13–9 | 0.04 | 7% | 26 Jul → | |
| 13–5 | 0.02 | 16% | 26 Jul → | ||
| 8–13 | -0.01 | 28% | 23 Jul → | ||
| 9–4 | 0.16 | 6% | 23 Jul → | ||
| dogtown | 2–9 | -0.15 | 15% | 23 Jul → | |
| 9–7 | 0.03 | 5% | 23 Jul → | ||
| 12–12 | 0.05 | 13% | 21 Jul → | ||
| 13–5 | 0.01 | 9% | 21 Jul → | ||
| 1–13 | -0.07 | 15% | 20 Jul → | ||
| 10–13 | 0.01 | 10% | 17 Jul → | ||
| 13–10 | 0.07 | 15% | 17 Jul → | ||
| agency | 12–12 | -0.06 | 8% | 15 Jul → | |
| italy | 6–1 | 0.04 | 0% | 15 Jul → | |
| 9–13 | 0.03 | 10% | 15 Jul → | ||
| 4–13 | -0.01 | 13% | 15 Jul → | ||
| 6–13 | -0.02 | 8% | 15 Jul → |
Match data via Leetify.
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