Ray Lafleur — CS2 Stats
76561198120215132[U:1:159949404]✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 40.1% | 40.1% | 41.7% | 1.5% short |
| Shot accuracy | 11.3% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.85 | 0.92 | 0.97 | 0.12 short |
| Match win rate | 30.6% | 42.2% | 43.8% | 13.2% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Blue 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: +40pp 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 76% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
Flashes. 0.90 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 705ms 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 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 74 | 40–34 | 54% | -0.02 | |
| D | 16 | 4–12 | 25% | -0.03 | |
| A | 5 | 3–2 | 60% | -0.00 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 704.6502ms — above the 700ms 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 27.1109% — 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.
25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.02 | 15% | 9 Aug → | ||
| 13–9 | 0.07 | 18% | 9 Aug → | ||
| 9–13 | 0.01 | 13% | 9 Aug → | ||
| 13–11 | -0.00 | 20% | 8 Aug → | ||
| 13–10 | 0.03 | 17% | 7 Aug → | ||
| 12–12 | -0.04 | 16% | 7 Aug → | ||
| 5–13 | -0.06 | 18% | 2 Aug → | ||
| 13–4 | 0.04 | 24% | 1 Aug → | ||
| 13–10 | 0.03 | 16% | 1 Aug → | ||
| 6–13 | -0.08 | 9% | 19 Jul → | ||
| 5–13 | -0.01 | 11% | 6 Jul → | ||
| 5–13 | -0.09 | 5% | 27 Jun → | ||
| 9–13 | -0.06 | 16% | 26 Jun → | ||
| 6–13 | 0.01 | 20% | 26 Jun → | ||
| 4–13 | -0.07 | 11% | 23 Jun → | ||
| 13–7 | 0.06 | 21% | 22 Jun → | ||
| 6–13 | -0.03 | 11% | 22 Jun → | ||
| 12–12 | 0.05 | 31% | 22 Jun → | ||
| 7–13 | -0.02 | 8% | 22 Jun → | ||
| 11–13 | 0.00 | 10% | 22 Jun → | ||
| 12–12 | 0.06 | 8% | 22 Jun → | ||
| 13–10 | -0.03 | 22% | 16 Jun → | ||
| 13–9 | -0.03 | 11% | 15 Jun → | ||
| 13–8 | -0.00 | 17% | 15 Jun → | ||
| 13–4 | -0.02 | 13% | 15 Jun → | ||
| 8–13 | -0.07 | 25% | 15 Jun → | ||
| 9–13 | -0.01 | 13% | 12 Jun → | ||
| 7–13 | -0.03 | 16% | 12 Jun → | ||
| 10–13 | 0.01 | 16% | 12 Jun → | ||
| 3–13 | -0.04 | 15% | 11 Jun → | ||
| 13–6 | -0.04 | 10% | 8 Jun → | ||
| 11–13 | -0.04 | 7% | 8 Jun → | ||
| 13–4 | 0.07 | 8% | 7 Jun → | ||
| 13–8 | -0.01 | 11% | 7 Jun → | ||
| 13–3 | -0.00 | 24% | 7 Jun → | ||
| 8–13 | -0.02 | 10% | 7 Jun → | ||
| 11–13 | -0.05 | 8% | 6 Jun → | ||
| 12–12 | -0.01 | 16% | 6 Jun → | ||
| 13–11 | -0.02 | 9% | 6 Jun → | ||
| 13–9 | -0.05 | 18% | 6 Jun → | ||
| 13–10 | -0.04 | 21% | 6 Jun → | ||
| 11–13 | -0.04 | 9% | 6 Jun → | ||
| 9–13 | -0.04 | 11% | 6 Jun → | ||
| 13–4 | -0.01 | 8% | 5 Jun → | ||
| 9–13 | -0.10 | 5% | 5 Jun → | ||
| 9–13 | -0.04 | 19% | 5 Jun → | ||
| 13–9 | 0.00 | 15% | 5 Jun → | ||
| 13–7 | -0.02 | 7% | 4 Jun → | ||
| 13–4 | -0.01 | 9% | 4 Jun → | ||
| 13–11 | 0.00 | 9% | 3 Jun → | ||
| 13–6 | -0.01 | 10% | 3 Jun → | ||
| 13–7 | 0.01 | 16% | 3 Jun → | ||
| 13–9 | -0.07 | 20% | 1 Jun → | ||
| 7–13 | -0.02 | 13% | 1 Jun → | ||
| 5–13 | -0.04 | 10% | 1 Jun → | ||
| 8–13 | -0.08 | 19% | 1 Jun → | ||
| 0–13 | -0.18 | 0% | 1 Jun → | ||
| 2–13 | -0.10 | 20% | 31 May → | ||
| 12–12 | 0.02 | 17% | 31 May → | ||
| 6–13 | -0.07 | 4% | 31 May → | ||
| 13–10 | -0.04 | 7% | 31 May → | ||
| 13–10 | -0.03 | 15% | 31 May → | ||
| 13–6 | 0.01 | 22% | 30 May → | ||
| 11–13 | -0.04 | 14% | 30 May → | ||
| 13–10 | -0.02 | 12% | 29 May → | ||
| 13–9 | -0.04 | 9% | 29 May → | ||
| 13–4 | -0.01 | 17% | 29 May → | ||
| 13–3 | 0.09 | 11% | 29 May → | ||
| 13–6 | 0.02 | 11% | 28 May → | ||
| 13–1 | 0.05 | 13% | 28 May → | ||
| 6–13 | -0.10 | 11% | 28 May → | ||
| 13–5 | 0.04 | 15% | 28 May → | ||
| 10–13 | -0.04 | 14% | 28 May → | ||
| 13–11 | 0.01 | 14% | 28 May → | ||
| 13–6 | -0.02 | 19% | 28 May → | ||
| 6–13 | -0.03 | 11% | 27 May → | ||
| 11–13 | -0.04 | 11% | 27 May → | ||
| 6–13 | 0.04 | 13% | 27 May → | ||
| 11–13 | 0.04 | 17% | 27 May → | ||
| 13–8 | -0.01 | 13% | 26 May → | ||
| 10–13 | -0.01 | 23% | 26 May → | ||
| 13–1 | 0.06 | 7% | 25 May → | ||
| 13–7 | 0.00 | 16% | 25 May → | ||
| 13–6 | 0.01 | 13% | 25 May → | ||
| 13–9 | 0.02 | 10% | 25 May → | ||
| 13–3 | 0.00 | 10% | 25 May → | ||
| 13–3 | -0.01 | 26% | 24 May → | ||
| 13–6 | 0.01 | 23% | 24 May → | ||
| 4–13 | -0.04 | 8% | 24 May → | ||
| 13–5 | -0.06 | 10% | 23 May → | ||
| 8–13 | -0.02 | 20% | 23 May → | ||
| 12–12 | -0.06 | 13% | 23 May → | ||
| 9–13 | -0.08 | 3% | 23 May → | ||
| 13–9 | 0.01 | 20% | 23 May → | ||
| 13–3 | 0.09 | 19% | 23 May → | ||
| 6–13 | -0.07 | 12% | 23 May → | ||
| 7–13 | -0.02 | 24% | 23 May → | ||
| 13–11 | 0.04 | 16% | 22 May → | ||
| 13–7 | -0.01 | 22% | 22 May → | ||
| 9–13 | -0.07 | 13% | 22 May → |
Match data via Leetify.