rene1o2 — CS2 Stats
DE76561198181015795[U:1:220750067]Steam profile ↗✓ 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 | 32.9% | 40.1% | 41.7% | 8.7% short |
| Shot accuracy | 8.4% | 7.6% | 8.8% | 0.5% short |
| Kill/death ratio | 0.92 | 0.92 | 0.97 | 0.05 short |
| Match win rate | 36.4% | 42.2% | 43.8% | 7.4% short |
This profile sits below the typical Blue band player on every metric we can compare.
Widest gap: Headshot 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: +0pp win rate · -0.01 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 87% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Areas to improve
T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 627ms 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 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 | 25 | 10–15 | 40% | 0.00 | |
| B | 20 | 10–10 | 50% | -0.02 | |
| D | 14 | 4–10 | 29% | -0.02 | |
| B | 13 | 6–7 | 46% | 0.00 | |
| D | 12 | 4–8 | 33% | -0.00 | |
| D | 7 | 2–5 | 29% | -0.04 | |
| D | 7 | 2–5 | 29% | -0.05 | |
| office | — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (29% over 14). 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.
- 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 11.3219% — 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 26.5974% — 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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.04 | 8% | 26 Aug → | ||
| 9–13 | -0.07 | 11% | 26 Aug → | ||
| 15–15 | -0.01 | 13% | 25 Aug → | ||
| 13–9 | -0.03 | 9% | 25 Aug → | ||
| 13–7 | 0.03 | 5% | 25 Aug → | ||
| 13–7 | -0.02 | 3% | 24 Aug → | ||
| 10–13 | -0.01 | 9% | 24 Aug → | ||
| 13–8 | 0.04 | 13% | 24 Aug → | ||
| 9–13 | -0.05 | 20% | 24 Aug → | ||
| 13–3 | -0.04 | 9% | 24 Aug → | ||
| 13–9 | -0.01 | 8% | 24 Aug → | ||
| 13–3 | 0.13 | 16% | 23 Aug → | ||
| 11–13 | 0.04 | 14% | 23 Aug → | ||
| 8–13 | -0.07 | 24% | 23 Aug → | ||
| 4–13 | -0.06 | 11% | 22 Aug → | ||
| 1–13 | -0.10 | 15% | 22 Aug → | ||
| 16–13 | 0.04 | 16% | 22 Aug → | ||
| 12–16 | -0.01 | 7% | 22 Aug → | ||
| 13–10 | -0.09 | 4% | 22 Aug → | ||
| 16–14 | 0.04 | 8% | 21 Aug → | ||
| 7–13 | -0.10 | 9% | 21 Aug → | ||
| 5–13 | -0.05 | 17% | 21 Aug → | ||
| 13–11 | 0.03 | 14% | 21 Aug → | ||
| 13–10 | 0.05 | 12% | 21 Aug → | ||
| 6–13 | -0.03 | 17% | 21 Aug → | ||
| 10–13 | -0.07 | 12% | 21 Aug → | ||
| 13–2 | -0.03 | 6% | 20 Aug → | ||
| 13–3 | 0.00 | 12% | 20 Aug → | ||
| 13–7 | -0.00 | 11% | 20 Aug → | ||
| 15–15 | -0.02 | 10% | 20 Aug → | ||
| 7–13 | -0.01 | 10% | 20 Aug → | ||
| 7–13 | 0.04 | 10% | 20 Aug → | ||
| 8–13 | -0.02 | 12% | 19 Aug → | ||
| 5–13 | -0.07 | 15% | 19 Aug → | ||
| 13–0 | 0.23 | 18% | 19 Aug → | ||
| 7–13 | -0.05 | 10% | 19 Aug → | ||
| 13–6 | 0.07 | 5% | 19 Aug → | ||
| 13–9 | 0.04 | 13% | 19 Aug → | ||
| 7–9 | -0.05 | 6% | 19 Aug → | ||
| 10–3 | 0.03 | 17% | 19 Aug → | ||
| 5–13 | -0.03 | 24% | 18 Aug → | ||
| 8–8 | 0.03 | 24% | 18 Aug → | ||
| 10–13 | -0.06 | 8% | 18 Aug → | ||
| 16–13 | 0.00 | 10% | 18 Aug → | ||
| 9–5 | 0.12 | 14% | 18 Aug → | ||
| 5–13 | -0.06 | 10% | 18 Aug → | ||
| 13–8 | -0.06 | 7% | 17 Aug → | ||
| 13–11 | 0.03 | 16% | 17 Aug → | ||
| 7–13 | -0.09 | 6% | 17 Aug → | ||
| 2–13 | -0.06 | 6% | 17 Aug → | ||
| 6–13 | -0.09 | 10% | 17 Aug → | ||
| 7–13 | 0.04 | 9% | 16 Aug → | ||
| 13–2 | -0.06 | 2% | 16 Aug → | ||
| 2–13 | -0.05 | 13% | 16 Aug → | ||
| 1–13 | -0.04 | 10% | 16 Aug → | ||
| 5–13 | 0.00 | 8% | 16 Aug → | ||
| 9–13 | -0.01 | 11% | 16 Aug → | ||
| 13–6 | -0.03 | 8% | 15 Aug → | ||
| 13–2 | 0.01 | 5% | 15 Aug → | ||
| 13–4 | 0.02 | 13% | 15 Aug → | ||
| 13–11 | 0.03 | 9% | 14 Aug → | ||
| 9–13 | 0.03 | 9% | 14 Aug → | ||
| 4–13 | -0.02 | 8% | 13 Aug → | ||
| 3–13 | 0.05 | 13% | 13 Aug → | ||
| 10–13 | -0.02 | 16% | 13 Aug → | ||
| 4–13 | -0.03 | 12% | 13 Aug → | ||
| 8–13 | -0.05 | 20% | 13 Aug → | ||
| 11–13 | -0.03 | 14% | 12 Aug → | ||
| 3–13 | -0.04 | 6% | 12 Aug → | ||
| 5–10 | -0.02 | 7% | 12 Aug → | ||
| 13–11 | 0.02 | 8% | 11 Aug → | ||
| 6–13 | -0.01 | 13% | 10 Aug → | ||
| office | 13–10 | -0.04 | 10% | 10 Aug → | |
| office | 11–13 | 0.01 | 13% | 10 Aug → | |
| 3–13 | -0.09 | 7% | 10 Aug → | ||
| 13–6 | 0.05 | 6% | 9 Aug → | ||
| 13–11 | 0.08 | 10% | 7 Aug → | ||
| 3–13 | -0.06 | 16% | 7 Aug → | ||
| 4–13 | -0.01 | 4% | 7 Aug → | ||
| 8–13 | -0.04 | 3% | 5 Aug → | ||
| 13–6 | 0.04 | 13% | 4 Aug → | ||
| 6–13 | -0.02 | 10% | 4 Aug → | ||
| 11–13 | -0.02 | 9% | 3 Aug → | ||
| 1–13 | -0.09 | 18% | 3 Aug → | ||
| 13–7 | -0.01 | 14% | 3 Aug → | ||
| 13–6 | -0.01 | 4% | 3 Aug → | ||
| 13–6 | -0.05 | 2% | 3 Aug → | ||
| 8–13 | -0.00 | 24% | 2 Aug → | ||
| 12–16 | -0.01 | 6% | 2 Aug → | ||
| 13–3 | -0.00 | 9% | 2 Aug → | ||
| 9–13 | -0.08 | 7% | 2 Aug → | ||
| 14–16 | -0.05 | 7% | 1 Aug → | ||
| 10–13 | -0.04 | 11% | 1 Aug → | ||
| 13–11 | 0.04 | 11% | 1 Aug → | ||
| 9–9 | 0.00 | 9% | 31 Jul → | ||
| 13–10 | 0.05 | 13% | 31 Jul → | ||
| 14–16 | -0.04 | 10% | 30 Jul → | ||
| 6–13 | 0.03 | 23% | 29 Jul → | ||
| 9–13 | -0.04 | 16% | 29 Jul → | ||
| 10–13 | -0.04 | 12% | 29 Jul → |
Match data via Leetify.
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