Wake_08 — CS2 Stats
76561199036179999[U:1:1075914271]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 33.6% | 48.1% | 14.5% short |
| Shot accuracy | 0.0% | 12.9% | 12.9% short |
| Kill/death ratio | 1.31 | 1.08 | above |
| Match win rate | 47.2% | 46.5% | meets |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.02 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 NiKo 86% playstyle similarity
Most alike: positioning profile, 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
Reaction time. 660ms 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 5.0/10 (Developing), 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 58 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 | 12 | 8–4 | 67% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| C | 9 | 4–5 | 44% | 0.00 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.05 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.06 | |
| office | — | 1 | 0–1 | 0% | 0.14 |
Across the last 58 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke 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 resultsLLLLL
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.8647% — below the 15% mark we flag
- 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 33.7074% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.07 | 13% | 28 Aug → | ||
| 13–3 | 0.06 | 16% | 28 Aug → | ||
| 13–10 | 0.11 | 11% | 23 Aug → | ||
| 12–16 | -0.06 | 7% | 23 Aug → | ||
| 13–6 | -0.05 | 20% | 23 Aug → | ||
| 7–13 | 0.00 | 20% | 23 Aug → | ||
| 13–2 | 0.05 | 8% | 20 Aug → | ||
| 13–11 | 0.12 | 13% | 20 Aug → | ||
| 7–13 | -0.00 | 15% | 20 Aug → | ||
| 13–5 | 0.03 | 5% | 20 Aug → | ||
| 13–1 | 0.11 | 18% | 19 Aug → | ||
| 13–7 | 0.05 | 9% | 19 Aug → | ||
| 11–13 | 0.09 | 11% | 19 Aug → | ||
| 5–13 | 0.12 | 8% | 18 Aug → | ||
| 12–12 | 0.05 | 11% | 18 Aug → | ||
| 13–8 | 0.08 | 8% | 17 Aug → | ||
| 3–9 | -0.04 | 14% | 17 Aug → | ||
| 12–12 | 0.01 | 12% | 16 Aug → | ||
| 5–13 | 0.00 | 15% | 16 Aug → | ||
| 9–13 | -0.03 | 10% | 16 Aug → | ||
| 13–11 | -0.07 | 15% | 15 Aug → | ||
| 13–10 | 0.03 | 31% | 13 Aug → | ||
| 13–5 | -0.03 | 9% | 10 Aug → | ||
| 15–15 | -0.00 | 10% | 8 Aug → | ||
| 10–13 | 0.04 | 9% | 4 Aug → | ||
| 4–13 | 0.02 | 14% | 4 Aug → | ||
| 12–12 | 0.15 | 11% | 28 Jul → | ||
| 13–3 | -0.04 | 9% | 28 Jul → | ||
| 15–15 | -0.03 | 10% | 21 Jul → | ||
| 3–13 | 0.03 | 6% | 21 Jul → | ||
| 13–4 | -0.05 | 3% | 14 Jul → | ||
| 2–13 | -0.07 | 10% | 14 Jul → | ||
| 13–1 | -0.02 | 6% | 12 Jul → | ||
| 13–7 | -0.03 | 13% | 12 Jul → | ||
| 13–11 | -0.02 | 12% | 11 Jul → | ||
| 13–9 | -0.01 | 16% | 11 Jul → | ||
| 13–6 | -0.02 | 9% | 8 Jul → | ||
| 11–13 | -0.09 | 4% | 24 Jun → | ||
| 7–13 | -0.00 | 7% | 9 Jun → | ||
| 10–13 | -0.07 | 13% | 3 Jun → | ||
| 14–16 | -0.06 | 3% | 26 May → | ||
| office | 6–13 | 0.14 | 8% | 14 May → | |
| 5–13 | -0.08 | 12% | 10 May → | ||
| 13–3 | -0.02 | 12% | 10 May → | ||
| 13–6 | 0.14 | 10% | 7 May → | ||
| 9–13 | -0.05 | 17% | 4 May → | ||
| 1–13 | -0.07 | 7% | 4 May → | ||
| 12–12 | -0.04 | 3% | 2 May → | ||
| 13–7 | -0.02 | 11% | 28 Apr → | ||
| 1–4 | 0.04 | 17% | 28 Apr → | ||
| 13–2 | 0.08 | 10% | 18 Apr → | ||
| 5–13 | 0.03 | 9% | 18 Apr → | ||
| 10–13 | 0.02 | 8% | 10 Apr → | ||
| 5–13 | 0.02 | 16% | 10 Apr → | ||
| 13–8 | 0.01 | 5% | 1 Apr → | ||
| 3–13 | -0.04 | 7% | 1 Apr → | ||
| 13–11 | -0.04 | 17% | 25 Mar → | ||
| 13–2 | 0.08 | 29% | 25 Mar → |
Match data via Leetify.