v4der — CS2 Stats
DE76561198094144977[U:1:133879249]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 device 92% playstyle similarity
Most alike: opening-duel success, 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
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Reaction time. 692ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | A | 41 | 24–17 | 59% | -0.02 |
 inferno | A | 15 | 9–6 | 60% | -0.01 |
 nuke | B | 13 | 6–7 | 46% | -0.02 |
 anubis | D | 7 | 2–5 | 29% | -0.02 |
 cache | S | 6 | 4–2 | 67% | -0.02 |
 train | S | 6 | 4–2 | 67% | -0.02 |
 ancient | — | 4 | 3–1 | 75% | 0.03 |
 overpass | — | 4 | 3–1 | 75% | -0.01 |
 mirage | — | 4 | 3–1 | 75% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 131 | 53% | 0.85 | 13.4 |
| Anubis | 117 | 56% | 0.99 | 14.9 |
| Inferno | 87 | 51% | 0.96 | 14.0 |
| Ancient | 46 | 65% | 0.95 | 14.4 |
| Nuke | 44 | 39% | 0.93 | 15.3 |
| Train | 24 | 58% | 0.86 | 13.0 |
| Mirage | 21 | 29% | 0.86 | 13.0 |
| Overpass | 14 | 50% | 1.07 | 15.2 |
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 | |
|---|---|---|---|---|---|
| inferno | 13–6 | -0.02 | 44% | 10 Aug → | |
| cache | 5–13 | -0.06 | 29% | 10 Aug → | |
| dust2 | 16–13 | 0.02 | 38% | 6 Aug → | |
| dust2 | 13–5 | 0.00 | 37% | 5 Aug → | |
| dust2 | 13–9 | 0.01 | 35% | 5 Aug → | |
| dust2 | 13–4 | -0.04 | 14% | 3 Aug → | |
| nuke | 13–9 | 0.00 | 21% | 3 Aug → | |
| dust2 | 13–9 | -0.06 | 40% | 31 Jul → | |
| cache | 13–7 | -0.04 | 47% | 31 Jul → | |
| dust2 | 13–2 | 0.04 | 47% | 31 Jul → | |
| cache | 13–11 | -0.03 | 37% | 31 Jul → | |
| cache | 13–5 | 0.08 | 24% | 20 Jul → | |
| dust2 | 6–13 | -0.04 | 20% | 30 Jun → | |
| inferno | 13–6 | 0.03 | 34% | 30 Jun → | |
| anubis | 11–13 | 0.00 | 26% | 22 Jun → | |
| dust2 | 8–13 | 0.03 | 31% | 22 Jun → | |
| inferno | 13–7 | -0.01 | 33% | 22 Jun → | |
| dust2 | 15–15 | 0.03 | 28% | 4 May → | |
| cache | 13–6 | 0.02 | 53% | 4 May → | |
| cache | 12–12 | -0.07 | 33% | 4 May → | |
| dust2 | 14–16 | -0.06 | 27% | 14 Apr → | |
| inferno | 6–13 | -0.02 | 42% | 2 Apr → | |
| ancient | 5–13 | -0.04 | 11% | 2 Apr → | |
| nuke | 13–3 | 0.01 | 22% | 2 Apr → | |
| anubis | 13–5 | 0.01 | 27% | 2 Apr → | |
| ancient | 13–6 | 0.09 | 23% | 2 Apr → | |
| inferno | 13–5 | -0.02 | 24% | 2 Apr → | |
| dust2 | 5–13 | -0.01 | 63% | 2 Apr → | |
| nuke | 6–13 | -0.04 | 32% | 30 Mar → | |
| inferno | 4–13 | -0.02 | 35% | 30 Mar → | |
| anubis | 13–11 | 0.02 | 21% | 9 Feb → | |
| ancient | 13–11 | -0.04 | 21% | 6 Feb → | |
| dust2 | 6–13 | 0.07 | 36% | 26 Jan → | |
| anubis | 15–15 | -0.01 | 33% | 24 Jan → | |
| overpass | 13–11 | -0.04 | 30% | 24 Jan → | |
| nuke | 13–10 | -0.03 | 24% | 29 Dec → | |
| dust2 | 13–16 | -0.03 | 33% | 29 Dec → | |
| inferno | 13–8 | 0.03 | 25% | 29 Dec → | |
| mirage | 13–6 | 0.04 | 19% | 29 Nov → | |
| mirage | 5–13 | -0.05 | 14% | 19 Nov → | |
| dust2 | 13–6 | 0.06 | 37% | 18 Nov → | |
| inferno | 13–9 | 0.03 | 28% | 15 Nov → | |
| mirage | 13–8 | 0.03 | 32% | 13 Nov → | |
| dust2 | 10–13 | -0.05 | 22% | 4 Nov → | |
| inferno | 13–11 | -0.03 | 23% | 1 Nov → | |
| dust2 | 2–13 | -0.09 | 33% | 27 Oct → | |
| nuke | 9–13 | 0.00 | 23% | 8 Oct → | |
| dust2 | 9–13 | 0.00 | 38% | 6 Oct → | |
| nuke | 15–19 | -0.03 | 20% | 6 Oct → | |
| dust2 | 13–8 | 0.00 | 27% | 6 Oct → | |
| inferno | 13–9 | -0.01 | 27% | 22 Sept → | |
| dust2 | 10–13 | -0.07 | 32% | 22 Sept → | |
| dust2 | 13–7 | 0.01 | 61% | 19 Sept → | |
| nuke | 13–11 | -0.04 | 29% | 19 Sept → | |
| dust2 | 16–14 | -0.01 | 22% | 19 Sept → | |
| ancient | 13–3 | 0.09 | 27% | 19 Sept → | |
| dust2 | 11–13 | -0.03 | 41% | 5 Sept → | |
| nuke | 13–6 | 0.03 | 40% | 5 Sept → | |
| dust2 | 13–6 | -0.06 | 22% | 5 Sept → | |
| train | 13–11 | -0.03 | 45% | 5 Sept → | |
| dust2 | 13–11 | 0.01 | 28% | 5 Sept → | |
| dust2 | 10–13 | -0.02 | 38% | 5 Sept → | |
| dust2 | 8–13 | -0.05 | 26% | 27 Aug → | |
| overpass | 13–11 | 0.01 | 29% | 25 Aug → | |
| inferno | 10–13 | -0.02 | 28% | 25 Aug → | |
| dust2 | 16–13 | 0.01 | 29% | 25 Aug → | |
| train | 13–4 | 0.06 | 39% | 25 Aug → | |
| dust2 | 11–13 | -0.03 | 22% | 20 Aug → | |
| overpass | 9–13 | -0.05 | 24% | 13 Aug → | |
| dust2 | 13–10 | -0.01 | 31% | 13 Aug → | |
| nuke | 9–13 | -0.05 | 31% | 13 Aug → | |
| inferno | 14–16 | -0.03 | 24% | 11 Aug → | |
| train | 13–2 | 0.01 | 33% | 11 Aug → | |
| inferno | 13–16 | 0.00 | 27% | 11 Aug → | |
| mirage | 13–3 | 0.03 | 38% | 11 Aug → | |
| overpass | 16–13 | 0.04 | 19% | 8 Aug → | |
| dust2 | 13–8 | -0.02 | 18% | 8 Aug → | |
| inferno | 13–4 | 0.01 | 29% | 8 Aug → | |
| nuke | 10–13 | 0.02 | 17% | 8 Aug → | |
| dust2 | 13–9 | -0.02 | 23% | 8 Aug → | |
| dust2 | 13–9 | -0.08 | 30% | 6 Aug → | |
| dust2 | 13–6 | -0.05 | 22% | 6 Aug → | |
| inferno | 9–13 | 0.01 | 28% | 4 Aug → | |
| train | 13–8 | -0.06 | 23% | 4 Aug → | |
| nuke | 13–8 | -0.03 | 34% | 4 Aug → | |
| dust2 | 13–10 | -0.02 | 31% | 4 Aug → | |
| dust2 | 16–13 | -0.01 | 37% | 31 Jul → | |
| dust2 | 13–11 | -0.00 | 20% | 31 Jul → | |
| dust2 | 13–9 | -0.04 | 36% | 28 Jul → | |
| anubis | 11–13 | -0.05 | 11% | 2 Jul → | |
| anubis | 9–13 | -0.05 | 26% | 9 Jun → | |
| train | 4–13 | -0.01 | 39% | 4 Jun → | |
| dust2 | 7–13 | -0.04 | 33% | 25 May → | |
| nuke | 11–13 | -0.03 | 25% | 13 May → | |
| anubis | 6–13 | -0.04 | 24% | 9 May → | |
| train | 3–13 | -0.09 | 24% | 9 May → | |
| dust2 | 8–13 | -0.05 | 28% | 9 May → | |
| dust2 | 13–10 | 0.05 | 25% | 9 May → | |
| dust2 | 13–9 | -0.02 | 17% | 2 May → | |
| nuke | 13–16 | -0.07 | 14% | 12 Apr → |
Match data via Leetify.