maproooooooo — CS2 Stats
76561198054933017[U:1:94667289]Steam profile ↗✓ No bans
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: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited 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 ropz 93% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
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. 585ms 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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 28 | 17–11 | 61% | 0.02 | |
| S | 27 | 18–9 | 67% | 0.02 | |
| A | 18 | 10–8 | 56% | 0.00 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| S | 6 | 6–0 | 100% | 0.02 | |
| S | 5 | 4–1 | 80% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (56% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 494 | 56% | 1.09 | 17.1 |
| Dust2 | 290 | 47% | 1.02 | 17.0 |
| Inferno | 255 | 56% | 1.15 | 17.9 |
| Ancient | 190 | 47% | 1.02 | 16.5 |
| Anubis | 157 | 45% | 0.97 | 15.8 |
| Nuke | 78 | 46% | 1.01 | 17.2 |
| Overpass | 33 | 55% | 1.12 | 19.0 |
| Cache | 24 | 58% | 1.21 | 19.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.00 | 21% | 20 Aug → | ||
| 10–13 | -0.05 | 11% | 20 Aug → | ||
| 13–11 | 0.09 | 29% | 16 Aug → | ||
| 14–16 | -0.01 | 21% | 13 Aug → | ||
| 11–13 | 0.03 | 22% | 13 Aug → | ||
| 2–13 | -0.01 | 21% | 5 Aug → | ||
| 13–4 | 0.06 | 31% | 5 Aug → | ||
| 13–6 | -0.00 | 34% | 1 Aug → | ||
| 13–11 | -0.03 | 30% | 20 Jul → | ||
| 13–11 | 0.05 | 17% | 20 Jul → | ||
| 8–13 | 0.06 | 33% | 16 Jul → | ||
| 0–13 | -0.03 | 0% | 16 Jul → | ||
| 13–10 | 0.07 | 32% | 9 Jul → | ||
| 13–7 | -0.05 | 33% | 6 Jul → | ||
| 11–13 | 0.01 | 31% | 5 Jul → | ||
| 13–2 | 0.04 | 45% | 5 Jul → | ||
| 10–13 | 0.01 | 15% | 4 Jul → | ||
| 16–13 | -0.03 | 21% | 1 Jul → | ||
| 17–19 | 0.01 | 25% | 25 Jun → | ||
| 13–10 | 0.06 | 21% | 22 Jun → | ||
| 13–4 | 0.00 | 28% | 22 Jun → | ||
| 13–8 | 0.13 | 29% | 16 Jun → | ||
| 7–13 | -0.04 | 27% | 2 Jun → | ||
| 13–11 | -0.00 | 21% | 24 May → | ||
| 13–8 | 0.03 | 19% | 24 May → | ||
| 13–4 | -0.00 | 37% | 20 May → | ||
| 11–13 | -0.03 | 21% | 8 May → | ||
| 13–3 | 0.02 | 31% | 29 Apr → | ||
| 13–8 | 0.03 | 28% | 29 Apr → | ||
| 13–6 | 0.04 | 30% | 29 Apr → | ||
| 13–9 | -0.03 | 19% | 15 Apr → | ||
| 13–8 | -0.06 | 13% | 4 Apr → | ||
| 13–10 | -0.06 | 24% | 2 Apr → | ||
| 13–7 | 0.02 | 18% | 30 Mar → | ||
| 13–16 | 0.04 | 19% | 22 Dec → | ||
| 8–13 | -0.08 | 18% | 23 Nov → | ||
| 13–16 | -0.02 | 20% | 11 Nov → | ||
| 13–3 | 0.06 | 25% | 9 Nov → | ||
| 6–13 | 0.02 | 29% | 8 Nov → | ||
| 13–6 | 0.14 | 21% | 8 Nov → | ||
| 13–11 | 0.10 | 27% | 8 Nov → | ||
| 2–13 | 0.03 | 37% | 7 Nov → | ||
| 13–6 | 0.02 | 24% | 5 Oct → | ||
| 13–11 | -0.04 | 39% | 4 Oct → | ||
| 13–3 | 0.03 | 37% | 2 Sept → | ||
| 7–13 | 0.08 | 25% | 31 Aug → | ||
| 16–13 | 0.05 | 25% | 24 Aug → | ||
| 13–11 | 0.05 | 23% | 24 Aug → | ||
| 13–10 | 0.03 | 27% | 8 Aug → | ||
| 13–7 | -0.02 | 27% | 8 Aug → | ||
| 13–8 | 0.07 | 25% | 7 Aug → | ||
| 13–1 | 0.12 | 39% | 7 Aug → | ||
| 13–8 | 0.04 | 19% | 5 Aug → | ||
| 13–5 | -0.01 | 20% | 5 Aug → | ||
| 13–8 | -0.00 | 21% | 3 Aug → | ||
| 9–13 | 0.03 | 22% | 2 Aug → | ||
| 12–16 | -0.04 | 15% | 2 Aug → | ||
| 13–16 | 0.05 | 17% | 2 Aug → | ||
| 5–13 | -0.06 | 13% | 31 Jul → | ||
| 10–13 | -0.04 | 22% | 25 Jul → | ||
| 2–13 | -0.08 | 16% | 21 Jul → | ||
| 16–13 | -0.02 | 32% | 17 Jul → | ||
| 2–13 | -0.04 | 10% | 16 Jul → | ||
| 13–11 | 0.06 | 16% | 14 Jul → | ||
| 10–13 | 0.00 | 21% | 14 Jul → | ||
| 13–11 | -0.01 | 29% | 20 Jun → | ||
| 16–14 | 0.02 | 38% | 16 Jun → | ||
| 12–2 | 0.07 | 26% | 16 Jun → | ||
| 5–13 | -0.03 | 12% | 16 Jun → | ||
| 13–11 | -0.01 | 16% | 9 Jun → | ||
| 13–6 | 0.06 | 29% | 1 Jun → | ||
| 13–11 | 0.00 | 19% | 31 May → | ||
| 13–8 | 0.09 | 45% | 25 May → | ||
| 13–9 | 0.04 | 22% | 24 May → | ||
| 13–8 | 0.00 | 31% | 24 May → | ||
| 13–5 | 0.05 | 24% | 17 May → | ||
| 13–9 | 0.03 | 25% | 17 May → | ||
| 16–13 | 0.00 | 16% | 2 May → | ||
| 13–8 | 0.01 | 22% | 2 May → | ||
| 13–11 | 0.00 | 23% | 2 May → | ||
| 7–13 | 0.04 | 43% | 28 Apr → | ||
| 11–13 | 0.00 | 41% | 28 Apr → | ||
| 13–9 | 0.07 | 32% | 28 Apr → | ||
| 5–13 | 0.02 | 20% | 28 Apr → | ||
| 13–5 | 0.06 | 21% | 17 Apr → | ||
| 8–13 | -0.02 | 26% | 11 Apr → | ||
| 13–3 | 0.04 | 24% | 3 Apr → | ||
| 3–13 | -0.10 | 15% | 1 Apr → | ||
| 10–13 | 0.09 | 22% | 27 Mar → | ||
| 22–18 | 0.02 | 13% | 11 Mar → | ||
| 13–10 | 0.03 | 21% | 10 Mar → | ||
| 13–11 | 0.02 | 29% | 9 Mar → | ||
| 13–10 | -0.01 | 35% | 8 Mar → | ||
| 13–4 | 0.09 | 21% | 6 Mar → | ||
| 11–13 | 0.00 | 27% | 1 Mar → | ||
| 14–16 | -0.01 | 28% | 24 Feb → | ||
| 13–9 | -0.07 | 41% | 23 Feb → | ||
| 13–10 | -0.06 | 21% | 22 Feb → | ||
| 8–1 | -0.01 | 80% | 6 Feb → | ||
| 13–10 | 0.01 | 50% | 6 Feb → |
Match data via Leetify.