woodie — CS2 Stats
WF76561198262742515[U:1:302476787]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,458
- Next: 2,500 ELO at 2,500 — 42 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong CT-side opener
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 94% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution.
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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
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 6.4/10 (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 |
|---|---|---|---|---|---|
| S | 39 | 27–12 | 69% | 0.02 | |
| S | 15 | 11–4 | 73% | 0.01 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| D | 9 | 2–7 | 22% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.06 | |
| office | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 706 | 53% | 1.05 | 16.6 |
| Dust2 | 271 | 49% | 1.02 | 15.7 |
| Ancient | 269 | 52% | 1.12 | 16.9 |
| Nuke | 168 | 48% | 1.04 | 15.8 |
| Vertigo | 154 | 56% | 1.13 | 16.9 |
| Anubis | 139 | 42% | 1.05 | 17.0 |
| Overpass | 102 | 60% | 1.21 | 17.3 |
| Inferno | 95 | 43% | 0.99 | 16.1 |
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 32.2647% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.03 | 23% | 27 Aug → | ||
| 13–3 | 0.01 | 20% | 27 Aug → | ||
| 13–7 | -0.02 | 24% | 27 Aug → | ||
| 13–11 | 0.04 | 26% | 25 Aug → | ||
| 11–13 | -0.02 | 22% | 24 Aug → | ||
| 13–6 | 0.08 | 23% | 23 Aug → | ||
| 10–13 | -0.08 | 11% | 22 Aug → | ||
| 6–13 | -0.03 | 27% | 22 Aug → | ||
| 13–8 | -0.04 | 24% | 21 Aug → | ||
| 13–11 | 0.06 | 21% | 20 Aug → | ||
| 12–16 | 0.01 | 20% | 19 Aug → | ||
| 7–13 | -0.03 | 20% | 18 Aug → | ||
| 13–7 | 0.02 | 16% | 16 Aug → | ||
| 13–7 | 0.01 | 21% | 16 Aug → | ||
| 13–7 | 0.05 | 22% | 15 Aug → | ||
| 13–3 | -0.05 | 4% | 14 Aug → | ||
| 7–13 | -0.04 | 20% | 12 Aug → | ||
| 5–13 | 0.04 | 18% | 11 Aug → | ||
| 10–13 | -0.02 | 18% | 8 Aug → | ||
| 13–11 | 0.06 | 16% | 7 Aug → | ||
| 13–8 | -0.01 | 14% | 7 Aug → | ||
| 7–13 | 0.03 | 17% | 6 Aug → | ||
| 11–13 | -0.01 | 26% | 4 Aug → | ||
| 14–16 | -0.03 | 21% | 3 Aug → | ||
| 13–8 | 0.06 | 28% | 2 Aug → | ||
| 13–7 | 0.06 | 41% | 31 Jul → | ||
| 16–12 | 0.01 | 21% | 27 Jul → | ||
| 11–13 | -0.00 | 14% | 26 Jul → | ||
| 6–13 | -0.06 | 21% | 25 Jul → | ||
| 6–13 | 0.02 | 19% | 15 Jul → | ||
| 13–10 | 0.03 | 21% | 15 Jul → | ||
| 7–13 | 0.00 | 39% | 13 Jul → | ||
| 13–3 | 0.06 | 23% | 10 Jul → | ||
| 13–2 | 0.07 | 30% | 10 Jul → | ||
| 10–13 | 0.04 | 20% | 10 Jul → | ||
| 1–13 | -0.07 | 21% | 9 Jul → | ||
| 10–13 | 0.01 | 20% | 9 Jul → | ||
| 13–8 | 0.11 | 39% | 9 Jul → | ||
| 8–13 | 0.05 | 30% | 9 Jul → | ||
| 14–16 | 0.01 | 26% | 6 Jul → | ||
| 13–11 | 0.03 | 26% | 4 Jul → | ||
| 16–19 | -0.04 | 9% | 4 Jul → | ||
| 10–13 | 0.09 | 23% | 30 Jun → | ||
| 13–8 | -0.02 | 27% | 29 Jun → | ||
| 16–12 | 0.03 | 13% | 27 Jun → | ||
| 17–19 | -0.01 | 18% | 26 Jun → | ||
| 13–5 | 0.04 | 19% | 25 Jun → | ||
| 13–8 | 0.00 | 14% | 24 Jun → | ||
| 13–11 | -0.02 | 18% | 22 Jun → | ||
| 13–11 | -0.04 | 11% | 21 Jun → | ||
| 13–8 | 0.01 | 19% | 19 Jun → | ||
| 13–11 | 0.04 | 30% | 18 Jun → | ||
| 16–19 | 0.02 | 24% | 18 Jun → | ||
| 13–7 | 0.02 | 18% | 14 Jun → | ||
| 13–4 | 0.00 | 20% | 13 Jun → | ||
| 10–13 | -0.04 | 29% | 13 Jun → | ||
| 14–16 | 0.01 | 28% | 12 Jun → | ||
| 16–14 | -0.08 | 20% | 11 Jun → | ||
| 11–13 | -0.05 | 12% | 11 Jun → | ||
| 14–16 | -0.06 | 25% | 11 Jun → | ||
| 16–14 | 0.07 | 21% | 10 Jun → | ||
| 9–13 | -0.02 | 35% | 9 Jun → | ||
| 11–13 | -0.05 | 19% | 9 Jun → | ||
| 13–10 | 0.00 | 17% | 9 Jun → | ||
| 13–4 | 0.09 | 39% | 9 Jun → | ||
| 13–5 | 0.09 | 27% | 9 Jun → | ||
| 13–10 | 0.07 | 17% | 7 Jun → | ||
| 9–13 | 0.01 | 34% | 6 Jun → | ||
| 7–13 | -0.07 | 33% | 6 Jun → | ||
| 7–13 | -0.01 | 33% | 5 Jun → | ||
| 13–2 | 0.10 | 25% | 5 Jun → | ||
| 13–5 | 0.08 | 43% | 5 Jun → | ||
| 13–5 | 0.10 | 19% | 5 Jun → | ||
| 13–1 | 0.15 | 36% | 5 Jun → | ||
| 11–13 | 0.04 | 16% | 3 Jun → | ||
| 11–13 | -0.02 | 24% | 3 Jun → | ||
| 13–6 | 0.07 | 20% | 3 Jun → | ||
| 13–7 | 0.00 | 33% | 2 Jun → | ||
| 13–9 | 0.10 | 22% | 1 Jun → | ||
| 5–13 | -0.01 | 15% | 31 May → | ||
| 13–1 | 0.06 | 22% | 31 May → | ||
| 13–2 | -0.01 | 24% | 31 May → | ||
| 4–13 | -0.04 | 39% | 28 May → | ||
| 13–5 | -0.01 | 18% | 24 May → | ||
| 6–13 | 0.11 | 32% | 19 May → | ||
| 5–13 | -0.01 | 32% | 9 May → | ||
| 16–14 | 0.02 | 19% | 9 May → | ||
| 16–14 | 0.01 | 24% | 2 May → | ||
| 13–8 | -0.02 | 25% | 25 Apr → | ||
| 7–13 | 0.00 | 23% | 19 Apr → | ||
| 13–8 | -0.01 | 31% | 15 Apr → | ||
| 13–10 | -0.02 | 38% | 12 Mar → | ||
| 13–4 | 0.07 | 18% | 12 Mar → | ||
| 15–15 | -0.01 | 22% | 5 Feb → | ||
| 13–5 | 0.00 | 15% | 5 Feb → | ||
| 7–13 | 0.01 | 31% | 31 Jan → | ||
| 13–11 | 0.02 | 19% | 28 Jan → | ||
| 13–5 | 0.06 | 28% | 27 Jan → | ||
| 13–8 | 0.05 | 26% | 23 Jan → | ||
| office | 10–13 | -0.08 | 22% | 23 Jan → |
Match data via Leetify.