Graff-_- — CS2 Stats
76561198364006755[U:1:403741027]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 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 ZywOo 87% 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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 61% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 565ms 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 5.4/10 (Developing), 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 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 | 41 | 19–22 | 46% | 0.05 | |
| B | 26 | 12–14 | 46% | 0.05 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| D | 7 | 2–5 | 29% | 0.04 | |
| D | 6 | 2–4 | 33% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.06 | |
| — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 86 | 47% | 1.36 | 19.2 |
| Inferno | 57 | 60% | 1.43 | 21.6 |
| Nuke | 29 | 55% | 1.45 | 21.7 |
| Dust2 | 26 | 38% | 1.10 | 16.9 |
| Anubis | 14 | 50% | 1.28 | 18.3 |
| Cache | 12 | 50% | 1.29 | 18.1 |
| Overpass | 10 | 30% | 1.26 | 19.6 |
| Ancient | 10 | 30% | 0.89 | 14.4 |
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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.09 | 14% | 10 Aug → | ||
| 5–13 | -0.07 | 43% | 10 Aug → | ||
| 16–14 | 0.00 | 12% | 10 Aug → | ||
| 1–13 | -0.00 | 17% | 3 Aug → | ||
| 5–13 | -0.00 | 18% | 3 Aug → | ||
| 12–16 | 0.01 | 15% | 1 Aug → | ||
| 13–7 | -0.02 | 9% | 1 Aug → | ||
| 13–11 | 0.02 | 15% | 31 Jul → | ||
| 5–13 | 0.09 | 21% | 29 Jul → | ||
| 13–6 | 0.02 | 20% | 25 Jul → | ||
| 13–11 | -0.01 | 21% | 23 Jul → | ||
| 6–13 | 0.02 | 14% | 9 Jul → | ||
| 11–13 | 0.08 | 15% | 2 Jul → | ||
| 13–5 | 0.09 | 22% | 24 Jun → | ||
| 16–12 | 0.02 | 19% | 23 Jun → | ||
| 13–7 | -0.03 | 25% | 22 Jun → | ||
| 12–16 | 0.00 | 12% | 15 Jun → | ||
| 9–13 | 0.01 | 25% | 12 Jun → | ||
| 8–13 | -0.01 | 11% | 10 Jun → | ||
| 13–8 | 0.08 | 23% | 10 Jun → | ||
| 1–13 | -0.06 | 14% | 10 Jun → | ||
| 6–13 | -0.00 | 10% | 10 Jun → | ||
| 5–13 | -0.03 | 6% | 10 Jun → | ||
| 13–4 | 0.08 | 15% | 10 Jun → | ||
| 5–13 | 0.10 | 22% | 9 Jun → | ||
| 7–13 | -0.02 | 14% | 2 Jun → | ||
| 2–13 | -0.00 | 18% | 26 May → | ||
| 13–9 | 0.11 | 23% | 18 May → | ||
| 13–11 | 0.05 | 19% | 12 May → | ||
| 17–19 | 0.08 | 13% | 8 May → | ||
| 8–13 | 0.02 | 15% | 7 May → | ||
| 13–6 | 0.14 | 21% | 25 Apr → | ||
| 13–10 | -0.01 | 15% | 24 Apr → | ||
| 13–8 | 0.10 | 21% | 22 Apr → | ||
| 7–13 | 0.06 | 25% | 8 Apr → | ||
| 13–10 | 0.00 | 13% | 1 Apr → | ||
| 9–13 | -0.03 | 15% | 1 Apr → | ||
| 9–13 | -0.04 | 9% | 29 Mar → | ||
| 10–13 | 0.01 | 14% | 29 Mar → | ||
| 13–8 | 0.12 | 25% | 28 Mar → | ||
| 9–13 | -0.06 | 11% | 28 Mar → | ||
| 13–4 | -0.03 | 19% | 26 Mar → | ||
| 13–11 | 0.05 | 11% | 23 Mar → | ||
| 16–12 | 0.06 | 21% | 20 Mar → | ||
| 10–13 | -0.03 | 12% | 19 Mar → | ||
| 13–11 | 0.12 | 15% | 16 Mar → | ||
| 5–13 | -0.10 | 21% | 13 Mar → | ||
| 5–3 | 0.13 | 28% | 8 Mar → | ||
| 11–13 | 0.20 | 10% | 7 Mar → | ||
| 13–4 | 0.07 | 17% | 7 Mar → | ||
| 13–8 | 0.04 | 18% | 7 Mar → | ||
| 3–13 | -0.06 | 13% | 7 Mar → | ||
| 4–13 | 0.04 | 24% | 7 Mar → | ||
| 14–16 | 0.03 | 12% | 2 Mar → | ||
| 13–5 | -0.01 | 17% | 28 Feb → | ||
| 13–8 | 0.11 | 14% | 26 Feb → | ||
| 7–13 | 0.01 | 16% | 26 Feb → | ||
| 13–16 | 0.06 | 18% | 25 Feb → | ||
| 3–13 | 0.04 | 23% | 24 Feb → | ||
| 6–13 | 0.06 | 14% | 12 Feb → | ||
| 6–13 | 0.01 | 14% | 11 Feb → | ||
| 13–7 | 0.02 | 10% | 11 Feb → | ||
| 9–13 | 0.11 | 15% | 11 Feb → | ||
| 4–13 | -0.01 | 33% | 10 Feb → | ||
| 5–13 | 0.08 | 18% | 10 Feb → | ||
| 11–13 | -0.00 | 20% | 10 Feb → | ||
| 8–13 | 0.06 | 18% | 9 Feb → | ||
| 8–13 | 0.07 | 12% | 9 Feb → | ||
| 13–6 | 0.15 | 26% | 9 Feb → | ||
| 13–4 | 0.14 | 25% | 9 Feb → | ||
| 6–13 | 0.09 | 18% | 8 Feb → | ||
| 11–13 | 0.12 | 14% | 7 Feb → | ||
| 13–7 | 0.02 | 15% | 7 Feb → | ||
| 13–4 | 0.07 | 24% | 6 Feb → | ||
| 2–13 | -0.03 | 6% | 5 Feb → | ||
| 13–10 | 0.12 | 20% | 4 Feb → | ||
| 16–14 | 0.12 | 17% | 1 Feb → | ||
| 13–10 | 0.08 | 18% | 1 Feb → | ||
| 13–11 | 0.11 | 18% | 1 Feb → | ||
| 13–5 | 0.02 | 10% | 1 Feb → | ||
| 9–13 | 0.11 | 16% | 31 Jan → | ||
| 11–13 | 0.07 | 17% | 31 Jan → | ||
| 9–13 | 0.16 | 25% | 30 Jan → | ||
| 8–13 | 0.13 | 19% | 30 Jan → | ||
| 16–12 | 0.09 | 16% | 29 Jan → | ||
| 13–4 | 0.03 | 33% | 29 Jan → | ||
| 13–7 | 0.06 | 18% | 26 Jan → | ||
| 5–13 | 0.01 | 7% | 24 Jan → | ||
| 5–13 | 0.08 | 17% | 24 Jan → | ||
| 13–10 | 0.09 | 18% | 24 Jan → | ||
| 11–13 | 0.05 | 15% | 22 Jan → | ||
| 7–13 | 0.02 | 13% | 20 Jan → | ||
| 7–13 | 0.02 | 17% | 20 Jan → | ||
| 15–15 | 0.14 | 9% | 18 Jan → | ||
| 13–11 | 0.12 | 16% | 18 Jan → | ||
| 10–13 | -0.03 | 12% | 15 Jan → | ||
| 16–14 | 0.08 | 19% | 15 Jan → | ||
| 13–5 | 0.10 | 21% | 14 Jan → | ||
| 10–13 | 0.03 | 19% | 13 Jan → | ||
| 10–13 | 0.02 | 14% | 11 Jan → |
Match data via Leetify.