Richtokin — CS2 Stats
76561199668077196[U:1:1707811468]
Rating over time
Premier CS Rating
- At peak — 10,723
- Next: Purple band at 15,000 — 4,277 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light 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 Level 3 among CSDB-tracked players (n=607), 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 | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 64.2% | 42.1% | 42.5% | above |
| Shot accuracy | 0.0% | 12.1% | 10.9% | 10.9% short |
| Kill/death ratio | 1.28 | 0.99 | 0.99 | above |
| Match win rate | 50.7% | 43.9% | 44.2% | above |
This profile matches the typical Level 4 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Excellent counter-strafing
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
T openings. 61% T opening-duel success — entries that actually open the round.
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. 603ms 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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 20 | 9–11 | 45% | 0.00 | |
| D | 17 | 4–13 | 24% | -0.01 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| D | 12 | 4–8 | 33% | 0.00 | |
| B | 8 | 4–4 | 50% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Mirage 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 33 | 52% | 1.07 | 15.3 |
| Dust2 | 32 | 56% | 1.00 | 13.3 |
| Inferno | 32 | 44% | 1.00 | 15.1 |
| Ancient | 29 | 48% | 0.97 | 14.6 |
| Nuke | 23 | 30% | 0.91 | 14.6 |
| Anubis | 19 | 47% | 1.01 | 13.9 |
| Cache | 14 | 36% | 1.00 | 15.4 |
| Overpass | 1 | 100% | 0.94 | 17.0 |
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.
- 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 0.4131 — 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.
24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.00 | 22% | 23 Aug → | ||
| 13–10 | 0.03 | 32% | 23 Aug → | ||
| 13–7 | 0.01 | 22% | 23 Aug → | ||
| 7–13 | -0.01 | 30% | 23 Aug → | ||
| 13–5 | 0.01 | 19% | 23 Aug → | ||
| 4–13 | -0.08 | 20% | 22 Aug → | ||
| 8–13 | -0.10 | 7% | 22 Aug → | ||
| 13–5 | -0.05 | 25% | 22 Aug → | ||
| 13–4 | 0.11 | 20% | 22 Aug → | ||
| 6–13 | -0.02 | 18% | 22 Aug → | ||
| 13–3 | 0.09 | 22% | 22 Aug → | ||
| 13–8 | -0.01 | 12% | 22 Aug → | ||
| 13–8 | 0.01 | 23% | 21 Aug → | ||
| 13–6 | 0.05 | 32% | 21 Aug → | ||
| 11–13 | 0.00 | 28% | 20 Aug → | ||
| 13–11 | 0.04 | 24% | 20 Aug → | ||
| 16–13 | 0.00 | 30% | 20 Aug → | ||
| 13–9 | 0.00 | 29% | 20 Aug → | ||
| 5–13 | -0.01 | 28% | 20 Aug → | ||
| 10–13 | -0.00 | 24% | 20 Aug → | ||
| 3–2 | 0.11 | 38% | 20 Aug → | ||
| 13–7 | 0.11 | 33% | 20 Aug → | ||
| 7–13 | -0.06 | 21% | 20 Aug → | ||
| 15–15 | 0.03 | 27% | 20 Aug → | ||
| 8–13 | 0.01 | 22% | 20 Aug → | ||
| 13–7 | -0.01 | 20% | 20 Aug → | ||
| 0–4 | -0.02 | 0% | 20 Aug → | ||
| 13–10 | 0.02 | 33% | 20 Aug → | ||
| 16–14 | -0.07 | 16% | 20 Aug → | ||
| 13–1 | 0.05 | 15% | 20 Aug → | ||
| 4–13 | -0.06 | 19% | 20 Aug → | ||
| 9–6 | 0.03 | 35% | 20 Aug → | ||
| 13–10 | -0.01 | 27% | 20 Aug → | ||
| 16–13 | -0.01 | 21% | 20 Aug → | ||
| 13–9 | 0.01 | 24% | 20 Aug → | ||
| 11–13 | -0.02 | 15% | 20 Aug → | ||
| 10–13 | -0.01 | 41% | 19 Aug → | ||
| 2–13 | -0.00 | 33% | 19 Aug → | ||
| 7–13 | -0.02 | 18% | 19 Aug → | ||
| 13–11 | 0.10 | 33% | 19 Aug → | ||
| 16–12 | 0.07 | 16% | 19 Aug → | ||
| 8–13 | -0.06 | 21% | 19 Aug → | ||
| 13–7 | 0.10 | 32% | 19 Aug → | ||
| 13–11 | -0.04 | 36% | 19 Aug → | ||
| 11–13 | 0.00 | 29% | 19 Aug → | ||
| 4–13 | 0.05 | 27% | 19 Aug → | ||
| 3–12 | 0.06 | 38% | 19 Aug → | ||
| 6–13 | -0.03 | 27% | 19 Aug → | ||
| 13–8 | 0.01 | 30% | 18 Aug → | ||
| 11–13 | 0.06 | 26% | 18 Aug → | ||
| 2–13 | -0.04 | 18% | 18 Aug → | ||
| 11–13 | -0.01 | 32% | 18 Aug → | ||
| 13–11 | 0.07 | 17% | 18 Aug → | ||
| 3–13 | -0.00 | 23% | 17 Aug → | ||
| 13–11 | -0.04 | 15% | 16 Aug → | ||
| 13–10 | -0.01 | 25% | 16 Aug → | ||
| 8–13 | 0.01 | 22% | 16 Aug → | ||
| 10–13 | -0.05 | 25% | 16 Aug → | ||
| 4–13 | -0.08 | 44% | 16 Aug → | ||
| 3–13 | -0.10 | 12% | 16 Aug → | ||
| 13–8 | -0.00 | 24% | 16 Aug → | ||
| 10–13 | 0.03 | 29% | 16 Aug → | ||
| 16–12 | -0.01 | 31% | 16 Aug → | ||
| 13–6 | -0.03 | 32% | 16 Aug → | ||
| 8–13 | 0.07 | 30% | 16 Aug → | ||
| 10–13 | -0.07 | 15% | 16 Aug → | ||
| 7–13 | 0.03 | 23% | 16 Aug → | ||
| 11–13 | -0.02 | 30% | 16 Aug → | ||
| 9–13 | -0.03 | 18% | 16 Aug → | ||
| 10–5 | 0.03 | 43% | 16 Aug → | ||
| 15–15 | 0.00 | 18% | 16 Aug → | ||
| 13–8 | 0.02 | 27% | 16 Aug → | ||
| 13–5 | 0.05 | 33% | 16 Aug → | ||
| 13–4 | 0.05 | 36% | 16 Aug → | ||
| 13–10 | 0.03 | 23% | 16 Aug → | ||
| 4–13 | -0.05 | 26% | 16 Aug → | ||
| 10–13 | 0.04 | 27% | 16 Aug → | ||
| 13–7 | 0.02 | 17% | 16 Aug → | ||
| 13–11 | 0.02 | 30% | 16 Aug → | ||
| 7–13 | 0.01 | 24% | 15 Aug → | ||
| 5–13 | 0.05 | 37% | 15 Aug → | ||
| 6–13 | 0.02 | 25% | 15 Aug → | ||
| 11–13 | 0.04 | 32% | 15 Aug → | ||
| 8–13 | 0.05 | 44% | 15 Aug → | ||
| 13–5 | 0.08 | 46% | 15 Aug → | ||
| 9–13 | -0.06 | 41% | 15 Aug → | ||
| 7–13 | -0.01 | 18% | 15 Aug → | ||
| 13–5 | -0.02 | 36% | 15 Aug → | ||
| 8–13 | 0.04 | 38% | 15 Aug → | ||
| 3–13 | -0.08 | 30% | 15 Aug → | ||
| 13–7 | 0.01 | 39% | 15 Aug → | ||
| 13–8 | 0.02 | 34% | 15 Aug → | ||
| 7–13 | -0.01 | 29% | 15 Aug → | ||
| 11–13 | -0.02 | 22% | 15 Aug → | ||
| 13–4 | -0.01 | 25% | 14 Aug → | ||
| 8–13 | 0.10 | 35% | 14 Aug → | ||
| 13–9 | 0.01 | 24% | 14 Aug → | ||
| 9–13 | -0.02 | 24% | 13 Aug → | ||
| 10–13 | 0.00 | 33% | 13 Aug → | ||
| 5–13 | -0.06 | 30% | 13 Aug → |
Match data via Leetify.