Walk ‘Em Down Wheeler — CS2 Stats
CA76561197987118439[U:1:26852711]Steam profile ↗VAC banned
Rating over time
Premier CS Rating
- At peak — 17,225
- Next: Pink band at 20,000 — 2,775 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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 | 38.9% | 48.1% | 9.1% short |
| Shot accuracy | 20.3% | 12.9% | above |
| Kill/death ratio | 1.16 | 1.08 | above |
| Match win rate | 45.5% | 46.5% | 0.9% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. 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: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 633ms 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 6.0/10 (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 | 18 | 9–9 | 50% | 0.01 | |
| B | 17 | 9–8 | 53% | 0.00 | |
| B | 12 | 6–6 | 50% | 0.03 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| C | 11 | 4–7 | 36% | 0.02 | |
| C | 10 | 4–6 | 40% | -0.00 | |
| A | 8 | 5–3 | 63% | 0.05 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| — | 4 | 1–3 | 25% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (13% over 8). 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.
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 10.8832% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4732 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.04 | 20% | 29 Jun → | ||
| 9–13 | -0.04 | 6% | 27 Jun → | ||
| 1–13 | -0.01 | 6% | 27 Jun → | ||
| 13–9 | 0.09 | 9% | 27 Jun → | ||
| 11–13 | 0.02 | 13% | 27 Jun → | ||
| 9–13 | -0.03 | 10% | 26 Jun → | ||
| 8–13 | 0.05 | 13% | 26 Jun → | ||
| 10–13 | 0.00 | 10% | 23 Jun → | ||
| 13–6 | -0.04 | 16% | 23 Jun → | ||
| 13–8 | 0.05 | 9% | 23 Jun → | ||
| 7–13 | -0.07 | 5% | 23 Jun → | ||
| 13–6 | 0.09 | 8% | 23 Jun → | ||
| 13–9 | 0.04 | 15% | 23 Jun → | ||
| 13–7 | -0.01 | 10% | 23 Jun → | ||
| 5–13 | 0.04 | 16% | 23 Jun → | ||
| 10–13 | 0.03 | 8% | 15 Jun → | ||
| 11–13 | -0.02 | 10% | 15 Jun → | ||
| 7–13 | -0.03 | 13% | 14 Jun → | ||
| 13–7 | 0.07 | 8% | 14 Jun → | ||
| 13–7 | 0.07 | 17% | 14 Jun → | ||
| 2–13 | -0.02 | 17% | 14 Jun → | ||
| 8–13 | -0.05 | 5% | 14 Jun → | ||
| 13–6 | 0.06 | 18% | 13 Jun → | ||
| 13–4 | 0.05 | 23% | 13 Jun → | ||
| 13–6 | -0.03 | 9% | 13 Jun → | ||
| 13–11 | -0.02 | 6% | 13 Jun → | ||
| 13–8 | 0.03 | 3% | 12 Jun → | ||
| 6–13 | 0.04 | 14% | 12 Jun → | ||
| 13–16 | 0.01 | 11% | 11 Jun → | ||
| 5–13 | -0.04 | 0% | 10 Jun → | ||
| 5–13 | -0.04 | 19% | 9 Jun → | ||
| 0–3 | -0.01 | 0% | 9 Jun → | ||
| 0–13 | -0.03 | 11% | 9 Jun → | ||
| 14–16 | -0.06 | 18% | 9 Jun → | ||
| 15–15 | 0.01 | 22% | 9 Jun → | ||
| 11–13 | 0.03 | 13% | 9 Jun → | ||
| 12–12 | 0.15 | 19% | 9 Jun → | ||
| 10–13 | -0.02 | 22% | 8 Jun → | ||
| 11–13 | 0.07 | 20% | 8 Jun → | ||
| 2–13 | 0.04 | 17% | 8 Jun → | ||
| 5–13 | -0.02 | 22% | 8 Jun → | ||
| 6–13 | 0.02 | 21% | 8 Jun → | ||
| 16–13 | 0.02 | 23% | 7 Jun → | ||
| 8–13 | -0.09 | 2% | 7 Jun → | ||
| 8–13 | 0.07 | 14% | 7 Jun → | ||
| 13–4 | 0.11 | 12% | 7 Jun → | ||
| 8–13 | 0.01 | 13% | 7 Jun → | ||
| 16–12 | 0.06 | 11% | 7 Jun → | ||
| 13–9 | 0.01 | 19% | 7 Jun → | ||
| 9–13 | 0.03 | 19% | 7 Jun → | ||
| 13–9 | -0.00 | 6% | 6 Jun → | ||
| 11–13 | 0.03 | 11% | 6 Jun → | ||
| 13–8 | -0.01 | 16% | 6 Jun → | ||
| 13–9 | -0.01 | 10% | 6 Jun → | ||
| 10–13 | -0.02 | 8% | 6 Jun → | ||
| 13–8 | 0.02 | 15% | 6 Jun → | ||
| 13–8 | 0.04 | 10% | 6 Jun → | ||
| 15–15 | 0.05 | 11% | 6 Jun → | ||
| 7–13 | -0.07 | 8% | 5 Jun → | ||
| 13–9 | 0.03 | 12% | 5 Jun → | ||
| 13–3 | -0.04 | 17% | 1 Jun → | ||
| 13–1 | 0.09 | 26% | 1 Jun → | ||
| 12–16 | -0.01 | 13% | 31 May → | ||
| 16–14 | 0.05 | 15% | 31 May → | ||
| 15–15 | 0.05 | 10% | 31 May → | ||
| 5–13 | -0.03 | 11% | 31 May → | ||
| 5–13 | 0.05 | 18% | 31 May → | ||
| 11–13 | 0.00 | 12% | 31 May → | ||
| 1–2 | 0.09 | 20% | 30 May → | ||
| 8–13 | -0.04 | 25% | 30 May → | ||
| 13–4 | 0.10 | 26% | 30 May → | ||
| 13–10 | -0.02 | 13% | 17 May → | ||
| 7–13 | -0.03 | 22% | 29 Aug → | ||
| 15–15 | -0.02 | 17% | 19 Aug → | ||
| 13–4 | -0.05 | 19% | 19 Aug → | ||
| 13–6 | 0.04 | 18% | 18 Aug → | ||
| 14–16 | -0.04 | 10% | 16 Aug → | ||
| 13–8 | 0.06 | 14% | 16 Aug → | ||
| 6–13 | -0.03 | 13% | 15 Aug → | ||
| 6–13 | -0.04 | 31% | 14 Aug → | ||
| 13–4 | 0.06 | 26% | 14 Aug → | ||
| 16–12 | 0.03 | 18% | 13 Aug → | ||
| 13–11 | -0.01 | 27% | 12 Aug → | ||
| 16–14 | -0.01 | 17% | 11 Aug → | ||
| 13–6 | -0.08 | 4% | 10 Aug → | ||
| 13–7 | -0.01 | 28% | 10 Aug → | ||
| 13–6 | 0.00 | 17% | 10 Aug → | ||
| 10–13 | 0.12 | 22% | 10 Aug → | ||
| 9–7 | 0.15 | 29% | 10 Aug → | ||
| 11–13 | 0.05 | 21% | 10 Aug → | ||
| 12–12 | 0.05 | 25% | 10 Aug → | ||
| 7–13 | -0.02 | 25% | 9 Aug → | ||
| 6–13 | -0.09 | 11% | 9 Aug → | ||
| 13–6 | 0.04 | 20% | 9 Aug → | ||
| 13–7 | 0.03 | 32% | 8 Aug → | ||
| 13–4 | 0.11 | 18% | 8 Aug → | ||
| 2–13 | -0.04 | 20% | 8 Aug → | ||
| 13–9 | 0.00 | 17% | 6 Aug → | ||
| 13–16 | -0.03 | 14% | 29 Jul → | ||
| 13–5 | 0.05 | 22% | 29 Jul → |
Match data via Leetify.
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