Reit1006 — CS2 Stats
76561198417277807[U:1:457012079]
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 | 36.0% | 40.1% | 41.7% | 5.6% short |
| Shot accuracy | 3.5% | 7.6% | 8.8% | 5.3% short |
| Kill/death ratio | 0.87 | 0.92 | 0.97 | 0.10 short |
| Match win rate | 38.4% | 42.2% | 43.8% | 5.4% short |
This profile sits below the typical Blue band player on every metric we can compare.
Widest gap: Shot accuracy. 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: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 86% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.6/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 36 | 14–22 | 39% | -0.00 | |
| D | 18 | 5–13 | 28% | -0.01 | |
| C | 15 | 6–9 | 40% | 0.03 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| D | 5 | 0–5 | 0% | -0.03 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| office | — | 2 | 0–2 | 0% | 0.02 |
| — | 1 | 1–0 | 100% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient 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.
- 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 0.4709 — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.02 | 11% | 29 Aug → | ||
| 13–9 | 0.08 | 32% | 28 Aug → | ||
| 16–14 | 0.02 | 24% | 28 Aug → | ||
| 6–5 | -0.03 | 0% | 28 Aug → | ||
| 9–7 | 0.06 | 19% | 28 Aug → | ||
| 5–13 | 0.01 | 19% | 27 Aug → | ||
| 2–6 | 0.06 | 38% | 27 Aug → | ||
| 11–13 | -0.02 | 20% | 26 Aug → | ||
| 16–13 | 0.01 | 18% | 26 Aug → | ||
| 10–13 | -0.02 | 15% | 26 Aug → | ||
| 13–6 | -0.01 | 18% | 23 Aug → | ||
| 4–13 | -0.04 | 18% | 21 Aug → | ||
| 13–8 | -0.01 | 15% | 21 Aug → | ||
| 8–13 | -0.02 | 8% | 19 Aug → | ||
| 13–11 | 0.03 | 6% | 18 Aug → | ||
| 4–13 | 0.02 | 10% | 17 Aug → | ||
| 8–13 | 0.03 | 11% | 17 Aug → | ||
| 13–11 | 0.03 | 24% | 16 Aug → | ||
| 4–13 | -0.02 | 13% | 16 Aug → | ||
| 8–8 | 0.01 | 8% | 15 Aug → | ||
| 13–7 | 0.02 | 18% | 15 Aug → | ||
| 13–6 | 0.06 | 13% | 15 Aug → | ||
| 12–12 | 0.04 | 17% | 15 Aug → | ||
| 5–13 | -0.08 | 19% | 15 Aug → | ||
| 6–13 | -0.03 | 14% | 15 Aug → | ||
| 12–12 | 0.06 | 25% | 15 Aug → | ||
| 13–8 | 0.09 | 9% | 13 Aug → | ||
| 9–6 | 0.04 | 9% | 13 Aug → | ||
| 4–9 | 0.10 | 7% | 12 Aug → | ||
| 10–13 | -0.03 | 19% | 12 Aug → | ||
| 3–13 | -0.05 | 8% | 12 Aug → | ||
| 13–4 | 0.14 | 13% | 11 Aug → | ||
| 5–13 | -0.07 | 16% | 9 Aug → | ||
| 13–8 | 0.05 | 19% | 9 Aug → | ||
| office | 3–13 | 0.01 | 19% | 9 Aug → | |
| 13–9 | 0.06 | 29% | 7 Aug → | ||
| 13–9 | -0.01 | 22% | 7 Aug → | ||
| 16–14 | 0.08 | 18% | 6 Aug → | ||
| 8–8 | 0.16 | 12% | 6 Aug → | ||
| 12–12 | 0.06 | 5% | 5 Aug → | ||
| 7–13 | 0.03 | 13% | 5 Aug → | ||
| 13–9 | 0.05 | 11% | 5 Aug → | ||
| 13–10 | 0.07 | 12% | 5 Aug → | ||
| 13–9 | 0.05 | 10% | 4 Aug → | ||
| 8–13 | -0.05 | 13% | 4 Aug → | ||
| 13–7 | -0.02 | 8% | 4 Aug → | ||
| 9–13 | 0.01 | 16% | 3 Aug → | ||
| 11–13 | 0.02 | 21% | 3 Aug → | ||
| 3–9 | -0.08 | 21% | 2 Aug → | ||
| 16–12 | 0.01 | 18% | 2 Aug → | ||
| 3–6 | -0.03 | 18% | 2 Aug → | ||
| 7–9 | 0.11 | 21% | 2 Aug → | ||
| 6–13 | -0.05 | 6% | 2 Aug → | ||
| 3–9 | -0.04 | 3% | 31 Jul → | ||
| 4–13 | -0.00 | 14% | 31 Jul → | ||
| 4–13 | -0.03 | 11% | 31 Jul → | ||
| 9–5 | 0.21 | 14% | 31 Jul → | ||
| 15–15 | -0.03 | 10% | 30 Jul → | ||
| 8–13 | -0.04 | 13% | 29 Jul → | ||
| 14–16 | -0.04 | 2% | 29 Jul → | ||
| 13–7 | 0.04 | 8% | 27 Jul → | ||
| 7–13 | 0.00 | 12% | 27 Jul → | ||
| 13–7 | 0.01 | 14% | 23 Jul → | ||
| 5–9 | -0.07 | 13% | 22 Jul → | ||
| 13–5 | 0.09 | 22% | 22 Jul → | ||
| 13–6 | 0.04 | 33% | 18 Jul → | ||
| 13–11 | 0.07 | 16% | 18 Jul → | ||
| office | 12–12 | 0.04 | 15% | 13 Jul → | |
| 0–13 | -0.13 | 20% | 13 Jul → | ||
| 10–13 | -0.07 | 9% | 2 Jul → | ||
| 13–9 | 0.04 | 14% | 2 Jul → | ||
| 9–13 | 0.00 | 12% | 30 Jun → | ||
| 11–13 | 0.00 | 16% | 29 Jun → | ||
| 7–3 | 0.06 | 20% | 29 Jun → | ||
| 8–13 | 0.02 | 17% | 29 Jun → | ||
| 13–4 | 0.02 | 10% | 29 Jun → | ||
| 11–13 | -0.04 | 13% | 27 Jun → | ||
| 13–8 | 0.01 | 14% | 27 Jun → | ||
| 8–13 | -0.04 | 6% | 26 Jun → | ||
| 15–15 | -0.01 | 22% | 26 Jun → | ||
| 7–9 | -0.01 | 18% | 26 Jun → | ||
| 11–13 | 0.02 | 19% | 25 Jun → | ||
| 2–9 | -0.05 | 9% | 24 Jun → | ||
| 6–13 | -0.07 | 21% | 24 Jun → | ||
| 13–11 | -0.10 | 13% | 24 Jun → | ||
| 7–9 | 0.03 | 24% | 24 Jun → | ||
| 7–13 | -0.05 | 16% | 23 Jun → | ||
| 7–13 | 0.03 | 14% | 23 Jun → | ||
| 4–13 | -0.01 | 2% | 23 Jun → | ||
| 7–9 | -0.06 | 25% | 23 Jun → | ||
| 5–9 | -0.05 | 5% | 22 Jun → | ||
| 6–13 | -0.10 | 25% | 22 Jun → | ||
| 13–11 | 0.01 | 21% | 22 Jun → | ||
| 13–4 | 0.02 | 50% | 22 Jun → | ||
| 4–13 | -0.00 | 8% | 21 Jun → | ||
| 13–10 | -0.02 | 18% | 21 Jun → | ||
| 10–13 | 0.00 | 18% | 21 Jun → | ||
| 9–4 | 0.02 | 10% | 21 Jun → | ||
| 2–9 | -0.11 | 21% | 20 Jun → | ||
| 3–6 | -0.06 | 0% | 20 Jun → |
Match data via Leetify.