wieenN- — CS2 Stats
76561198929517493[U:1:969251765]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 Twistzz 92% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 587ms 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 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| D | 29 | 9–20 | 31% | 0.01 | |
| B | 24 | 12–12 | 50% | -0.01 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| D | 12 | 1–11 | 8% | 0.01 | |
| D | 10 | 2–8 | 20% | -0.02 | |
| C | 5 | 2–3 | 40% | 0.00 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| warden | — | 2 | 2–0 | 100% | 0.10 |
| — | 1 | 1–0 | 100% | -0.05 | |
| stronghold | — | 1 | 1–0 | 100% | 0.06 |
| alpine | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1182 | 55% | 1.26 | 16.9 |
| Ancient | 560 | 54% | 1.24 | 17.1 |
| Dust2 | 540 | 55% | 1.24 | 16.2 |
| Anubis | 494 | 61% | 1.32 | 17.2 |
| Nuke | 201 | 49% | 1.17 | 16.0 |
| Inferno | 167 | 47% | 1.10 | 15.6 |
| Overpass | 92 | 52% | 1.23 | 17.3 |
| Train | 49 | 69% | 1.28 | 17.9 |
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
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 Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 35.1681% — below the 40% 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–13 | 0.02 | 18% | 15 Aug → | ||
| 9–13 | 0.03 | 19% | 26 Jul → | ||
| 16–14 | -0.02 | 26% | 25 Jul → | ||
| 7–13 | -0.01 | 20% | 5 Jun → | ||
| 6–13 | -0.01 | 35% | 7 May → | ||
| 11–13 | 0.07 | 35% | 7 May → | ||
| 10–13 | 0.04 | 38% | 4 May → | ||
| 13–7 | -0.05 | 47% | 28 Apr → | ||
| 13–9 | -0.02 | 51% | 28 Apr → | ||
| 7–13 | 0.05 | 40% | 27 Apr → | ||
| 13–6 | 0.02 | 25% | 14 Apr → | ||
| 8–13 | 0.06 | 42% | 13 Apr → | ||
| 9–13 | 0.03 | 30% | 11 Apr → | ||
| 6–13 | -0.03 | 23% | 1 Apr → | ||
| 4–13 | -0.02 | 35% | 1 Apr → | ||
| 2–13 | -0.11 | 27% | 30 Mar → | ||
| 2–13 | 0.03 | 24% | 30 Mar → | ||
| 2–13 | 0.03 | 24% | 30 Mar → | ||
| 13–7 | -0.01 | 38% | 27 Mar → | ||
| 10–13 | 0.02 | 33% | 26 Mar → | ||
| 13–5 | 0.13 | 34% | 24 Mar → | ||
| 16–13 | 0.05 | 30% | 22 Mar → | ||
| 4–13 | -0.03 | 25% | 21 Mar → | ||
| 13–8 | -0.03 | 20% | 20 Mar → | ||
| 5–13 | 0.03 | 26% | 17 Mar → | ||
| 11–13 | -0.02 | 27% | 11 Mar → | ||
| 13–4 | 0.06 | 24% | 7 Mar → | ||
| 11–13 | -0.01 | 22% | 5 Mar → | ||
| 5–13 | -0.02 | 17% | 4 Mar → | ||
| 13–2 | 0.14 | 31% | 4 Mar → | ||
| 13–0 | 0.15 | 26% | 3 Mar → | ||
| 6–13 | -0.02 | 32% | 3 Mar → | ||
| 4–13 | -0.02 | 24% | 3 Mar → | ||
| 7–13 | -0.03 | 31% | 2 Mar → | ||
| 4–13 | -0.00 | 38% | 2 Mar → | ||
| 3–13 | -0.06 | 28% | 2 Mar → | ||
| 4–13 | -0.01 | 33% | 27 Feb → | ||
| 8–13 | -0.02 | 19% | 27 Feb → | ||
| 3–13 | -0.00 | 44% | 25 Feb → | ||
| 5–13 | -0.05 | 41% | 25 Feb → | ||
| 10–13 | 0.00 | 27% | 16 Feb → | ||
| 0–3 | -0.05 | 20% | 16 Feb → | ||
| 7–5 | 0.03 | 48% | 15 Feb → | ||
| 4–13 | 0.09 | 23% | 15 Feb → | ||
| 13–10 | 0.00 | 30% | 14 Feb → | ||
| 13–11 | 0.00 | 24% | 14 Feb → | ||
| 13–16 | -0.00 | 27% | 14 Feb → | ||
| 8–13 | -0.06 | 18% | 14 Feb → | ||
| 13–4 | -0.03 | 32% | 13 Feb → | ||
| 13–7 | 0.02 | 36% | 13 Feb → | ||
| 5–13 | -0.02 | 28% | 12 Feb → | ||
| 9–13 | 0.01 | 31% | 12 Feb → | ||
| 9–13 | -0.02 | 34% | 12 Feb → | ||
| 13–11 | -0.02 | 27% | 12 Feb → | ||
| 8–13 | -0.06 | 32% | 12 Feb → | ||
| 13–5 | -0.03 | 25% | 11 Feb → | ||
| 6–13 | -0.04 | 19% | 11 Feb → | ||
| 6–13 | -0.05 | 36% | 11 Feb → | ||
| 13–3 | 0.12 | 21% | 9 Feb → | ||
| 8–13 | 0.01 | 41% | 8 Feb → | ||
| 8–13 | -0.06 | 43% | 8 Feb → | ||
| 13–9 | -0.02 | 32% | 5 Feb → | ||
| 9–13 | -0.02 | 23% | 3 Feb → | ||
| 6–13 | -0.04 | 24% | 3 Feb → | ||
| 11–13 | -0.06 | 17% | 3 Feb → | ||
| 11–13 | 0.08 | 30% | 2 Feb → | ||
| 11–13 | -0.03 | 27% | 2 Feb → | ||
| 13–9 | 0.00 | 17% | 2 Feb → | ||
| warden | 13–5 | 0.09 | 30% | 25 Jan → | |
| stronghold | 13–3 | 0.06 | 23% | 24 Jan → | |
| alpine | 12–12 | 0.01 | 33% | 24 Jan → | |
| warden | 13–2 | 0.12 | 26% | 24 Jan → | |
| 5–13 | -0.01 | 44% | 20 Jan → | ||
| 4–13 | -0.04 | 26% | 20 Jan → | ||
| 14–16 | -0.00 | 22% | 20 Jan → | ||
| 7–13 | -0.08 | 29% | 20 Jan → | ||
| 7–13 | -0.01 | 31% | 19 Jan → | ||
| 2–13 | -0.06 | 40% | 19 Jan → | ||
| 13–11 | -0.01 | 19% | 19 Jan → | ||
| 11–13 | -0.02 | 27% | 18 Jan → | ||
| 13–3 | 0.06 | 29% | 18 Jan → | ||
| 5–13 | -0.03 | 29% | 16 Jan → | ||
| 19–17 | -0.04 | 42% | 16 Jan → | ||
| 11–13 | 0.00 | 25% | 15 Jan → | ||
| 6–13 | -0.01 | 12% | 15 Jan → | ||
| 13–11 | 0.03 | 25% | 14 Jan → | ||
| 9–13 | 0.04 | 33% | 8 Jan → | ||
| 13–6 | 0.10 | 30% | 8 Jan → | ||
| 4–13 | -0.04 | 21% | 1 Jan → | ||
| 13–11 | 0.05 | 29% | 25 Dec → | ||
| 5–13 | -0.05 | 33% | 21 Dec → | ||
| 8–13 | 0.01 | 15% | 21 Dec → | ||
| 8–13 | -0.01 | 36% | 28 Nov → | ||
| 5–13 | -0.03 | 17% | 28 Nov → | ||
| 13–5 | 0.06 | 24% | 28 Nov → | ||
| 0–7 | -0.02 | 21% | 28 Nov → | ||
| 11–7 | 0.04 | 17% | 28 Nov → | ||
| 13–8 | -0.01 | 21% | 15 Nov → | ||
| 13–7 | 0.01 | 31% | 15 Nov → | ||
| 13–5 | 0.07 | 28% | 15 Nov → |
Match data via Leetify.