asamppa — CS2 Stats
76561198175869734[U:1:215604006]2 game bans
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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 sh1ro 89% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.9/10 (Solid), 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 | 26 | 14–12 | 54% | 0.02 | |
| S | 22 | 16–6 | 73% | 0.05 | |
| S | 14 | 10–4 | 71% | 0.05 | |
| C | 13 | 5–8 | 38% | 0.02 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.16 | |
| sanctum | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 158 | 45% | 1.11 | 17.3 |
| Nuke | 128 | 41% | 1.24 | 17.5 |
| Ancient | 111 | 52% | 1.20 | 16.9 |
| Vertigo | 102 | 65% | 1.28 | 17.5 |
| Anubis | 102 | 53% | 1.17 | 16.8 |
| Dust2 | 59 | 42% | 1.15 | 16.7 |
| Inferno | 33 | 33% | 0.98 | 14.4 |
| Train | 19 | 58% | 1.14 | 15.8 |
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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.04 | 5% | 28 Aug → | ||
| 13–7 | -0.02 | 38% | 28 Aug → | ||
| 8–13 | 0.01 | 32% | 28 Aug → | ||
| 13–9 | 0.06 | 17% | 28 Aug → | ||
| 13–11 | -0.01 | 11% | 27 Aug → | ||
| 4–13 | -0.05 | 10% | 27 Aug → | ||
| 10–13 | 0.02 | 15% | 27 Aug → | ||
| 6–13 | -0.03 | 16% | 27 Aug → | ||
| 13–5 | 0.08 | 17% | 27 Aug → | ||
| 13–8 | 0.09 | 20% | 25 Aug → | ||
| 2–9 | -0.16 | 25% | 25 Aug → | ||
| 4–13 | 0.01 | 16% | 25 Aug → | ||
| 13–11 | 0.02 | 15% | 25 Aug → | ||
| 11–13 | 0.02 | 17% | 25 Aug → | ||
| 16–14 | 0.03 | 18% | 25 Aug → | ||
| 13–9 | 0.00 | 25% | 25 Aug → | ||
| 16–14 | 0.08 | 25% | 25 Aug → | ||
| 16–13 | 0.07 | 17% | 25 Aug → | ||
| 10–13 | -0.02 | 21% | 25 Aug → | ||
| 13–11 | 0.03 | 15% | 24 Aug → | ||
| 4–13 | 0.06 | 15% | 24 Aug → | ||
| 13–9 | 0.10 | 27% | 24 Aug → | ||
| 13–11 | -0.02 | 11% | 24 Aug → | ||
| 13–11 | 0.02 | 18% | 24 Aug → | ||
| 13–7 | -0.02 | 14% | 24 Aug → | ||
| 13–8 | 0.15 | 38% | 23 Aug → | ||
| 13–7 | -0.04 | 19% | 23 Aug → | ||
| 13–7 | 0.09 | 20% | 23 Aug → | ||
| 11–13 | 0.00 | 31% | 23 Aug → | ||
| 13–10 | -0.01 | 21% | 22 Aug → | ||
| 16–14 | 0.03 | 18% | 22 Aug → | ||
| 13–3 | 0.00 | 27% | 16 Aug → | ||
| 13–9 | 0.05 | 20% | 10 Aug → | ||
| 13–7 | 0.06 | 25% | 10 Aug → | ||
| 14–16 | 0.04 | 19% | 10 Aug → | ||
| 1–9 | -0.04 | 22% | 10 Aug → | ||
| 10–13 | -0.00 | 23% | 10 Aug → | ||
| 9–5 | 0.04 | 18% | 10 Aug → | ||
| 5–13 | 0.04 | 18% | 10 Aug → | ||
| 8–13 | -0.09 | 17% | 10 Aug → | ||
| 7–13 | 0.07 | 13% | 10 Aug → | ||
| 9–2 | 0.11 | 27% | 10 Aug → | ||
| 7–13 | -0.05 | 13% | 10 Aug → | ||
| 13–6 | 0.00 | 23% | 10 Aug → | ||
| 13–11 | 0.02 | 29% | 28 Jul → | ||
| 13–3 | 0.07 | 34% | 27 Jul → | ||
| 13–3 | 0.05 | 21% | 27 Jul → | ||
| 13–9 | -0.00 | 30% | 23 Jul → | ||
| 8–13 | -0.01 | 33% | 23 Jul → | ||
| 4–13 | 0.02 | 34% | 23 Jul → | ||
| 13–1 | 0.03 | 17% | 16 Jul → | ||
| 13–4 | -0.01 | 32% | 16 Jul → | ||
| 9–13 | -0.04 | 11% | 16 Jul → | ||
| 8–13 | -0.00 | 47% | 16 Jul → | ||
| 15–15 | -0.04 | 17% | 15 Jul → | ||
| 3–9 | -0.03 | 31% | 15 Jul → | ||
| 9–3 | 0.11 | 19% | 14 Jul → | ||
| 2–13 | -0.09 | 0% | 8 Jul → | ||
| 13–5 | 0.02 | 8% | 8 Jul → | ||
| 7–13 | -0.00 | 16% | 8 Jul → | ||
| 13–7 | -0.04 | 21% | 8 Jul → | ||
| sanctum | 9–4 | 0.04 | 4% | 8 Jul → | |
| 6–9 | -0.06 | 30% | 8 Jul → | ||
| 2–9 | -0.16 | 17% | 8 Jul → | ||
| 5–13 | -0.02 | 21% | 7 Jul → | ||
| 3–13 | -0.02 | 36% | 7 Jul → | ||
| 7–13 | 0.03 | 33% | 7 Jul → | ||
| 16–13 | 0.07 | 17% | 26 Jun → | ||
| 13–5 | 0.08 | 23% | 18 May → | ||
| 15–15 | -0.01 | 15% | 18 May → | ||
| 3–13 | -0.00 | 17% | 22 Apr → | ||
| 13–11 | 0.07 | 15% | 22 Apr → | ||
| 13–8 | -0.07 | 21% | 22 Apr → | ||
| 9–13 | 0.02 | 17% | 22 Apr → | ||
| 13–6 | 0.15 | 19% | 21 Apr → | ||
| 8–13 | 0.01 | 25% | 21 Apr → | ||
| 13–11 | 0.20 | 26% | 21 Apr → | ||
| 13–3 | 0.10 | 26% | 20 Apr → | ||
| 13–11 | 0.11 | 17% | 19 Apr → | ||
| 6–13 | -0.02 | 29% | 19 Apr → | ||
| 16–13 | 0.10 | 20% | 18 Apr → | ||
| 13–4 | 0.16 | 31% | 17 Apr → | ||
| 9–13 | 0.02 | 19% | 17 Apr → | ||
| 13–3 | 0.06 | 19% | 17 Apr → | ||
| 13–10 | 0.18 | 20% | 17 Apr → | ||
| 13–6 | 0.08 | 22% | 17 Apr → | ||
| 13–9 | 0.09 | 24% | 17 Apr → | ||
| 7–13 | -0.02 | 18% | 17 Apr → | ||
| 13–7 | 0.08 | 14% | 17 Apr → | ||
| 16–13 | -0.00 | 18% | 17 Apr → | ||
| 13–5 | 0.08 | 22% | 17 Apr → | ||
| 13–11 | -0.03 | 15% | 16 Apr → | ||
| 8–13 | 0.13 | 14% | 16 Apr → | ||
| 13–8 | 0.11 | 25% | 16 Apr → | ||
| 13–4 | 0.15 | 32% | 15 Apr → | ||
| 8–13 | -0.03 | 20% | 15 Apr → | ||
| 6–13 | -0.02 | 16% | 15 Apr → | ||
| 15–15 | 0.07 | 22% | 15 Apr → | ||
| 9–1 | 0.10 | 18% | 15 Apr → | ||
| 15–15 | 0.00 | 22% | 15 Apr → |
Match data via Leetify.