The Mighty Rim Reaper — CS2 Stats
76561199245336287[U:1:1285070559]
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 73% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 3.6/10 (Learning), 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 |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | -0.00 | |
| C | 21 | 8–13 | 38% | -0.00 | |
| C | 13 | 5–8 | 38% | 0.02 | |
| D | 12 | 2–10 | 17% | -0.01 | |
| C | 7 | 3–4 | 43% | 0.06 | |
| D | 7 | 1–6 | 14% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| office | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (14% over 7). 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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.3206° — above the 12° 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 0.4984 — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.00 | 21% | 21 Aug → | ||
| 13–6 | 0.05 | 16% | 19 Aug → | ||
| 13–11 | 0.00 | 5% | 19 Aug → | ||
| 13–11 | -0.02 | 16% | 19 Aug → | ||
| 13–9 | 0.07 | 18% | 18 Aug → | ||
| 6–13 | -0.05 | 14% | 18 Aug → | ||
| 10–13 | 0.10 | 17% | 18 Aug → | ||
| 12–12 | 0.03 | 17% | 18 Aug → | ||
| 8–13 | 0.05 | 16% | 15 Aug → | ||
| 13–8 | 0.09 | 13% | 15 Aug → | ||
| 4–13 | -0.07 | 13% | 14 Aug → | ||
| 13–3 | 0.14 | 14% | 14 Aug → | ||
| 13–5 | 0.08 | 13% | 14 Aug → | ||
| 10–13 | -0.00 | 15% | 14 Aug → | ||
| 13–2 | 0.09 | 38% | 14 Aug → | ||
| 2–13 | -0.06 | 44% | 12 Aug → | ||
| 13–9 | 0.03 | 27% | 12 Aug → | ||
| 7–13 | -0.02 | 14% | 12 Aug → | ||
| 13–4 | 0.16 | 18% | 11 Aug → | ||
| 4–13 | -0.09 | 21% | 10 Aug → | ||
| 13–8 | -0.00 | 22% | 7 Aug → | ||
| 13–7 | 0.05 | 17% | 7 Aug → | ||
| 9–13 | 0.10 | 23% | 7 Aug → | ||
| 4–13 | 0.01 | 25% | 5 Aug → | ||
| 11–13 | 0.02 | 9% | 2 Aug → | ||
| 5–13 | -0.06 | 15% | 1 Aug → | ||
| 8–13 | 0.08 | 14% | 1 Aug → | ||
| 9–13 | 0.02 | 18% | 1 Aug → | ||
| 13–5 | 0.08 | 11% | 31 Jul → | ||
| 13–5 | 0.03 | 13% | 31 Jul → | ||
| 8–13 | 0.10 | 9% | 31 Jul → | ||
| 12–12 | 0.07 | 15% | 29 Jul → | ||
| 4–13 | -0.01 | 11% | 29 Jul → | ||
| 13–7 | 0.05 | 12% | 29 Jul → | ||
| 10–13 | -0.01 | 17% | 29 Jul → | ||
| 13–3 | 0.03 | 9% | 27 Jul → | ||
| 13–7 | -0.02 | 24% | 27 Jul → | ||
| 13–5 | 0.03 | 7% | 27 Jul → | ||
| 13–10 | -0.02 | 8% | 27 Jul → | ||
| 2–13 | 0.01 | 18% | 26 Jul → | ||
| 0–13 | -0.01 | 13% | 26 Jul → | ||
| 11–13 | 0.04 | 11% | 26 Jul → | ||
| 13–11 | 0.05 | 11% | 26 Jul → | ||
| 9–13 | 0.10 | 9% | 25 Jul → | ||
| 13–6 | 0.11 | 9% | 25 Jul → | ||
| 2–13 | -0.04 | 35% | 25 Jul → | ||
| 11–13 | -0.04 | 6% | 25 Jul → | ||
| 6–13 | -0.08 | 12% | 24 Jul → | ||
| 4–13 | -0.03 | 11% | 24 Jul → | ||
| 2–13 | 0.03 | 24% | 24 Jul → | ||
| 13–6 | -0.03 | 5% | 24 Jul → | ||
| 8–13 | -0.06 | 10% | 20 Jul → | ||
| 6–13 | -0.08 | 18% | 20 Jul → | ||
| 13–10 | -0.05 | 9% | 20 Jul → | ||
| 5–13 | -0.03 | 21% | 20 Jul → | ||
| 6–13 | -0.05 | 2% | 20 Jul → | ||
| 11–13 | -0.01 | 15% | 19 Jul → | ||
| 5–13 | -0.09 | 9% | 19 Jul → | ||
| 11–13 | 0.03 | 9% | 19 Jul → | ||
| 3–13 | -0.02 | 22% | 18 Jul → | ||
| 4–13 | -0.03 | 11% | 18 Jul → | ||
| 8–13 | 0.06 | 17% | 18 Jul → | ||
| 13–10 | 0.02 | 10% | 18 Jul → | ||
| 12–12 | -0.02 | 11% | 18 Jul → | ||
| 5–13 | 0.05 | 7% | 18 Jul → | ||
| 8–13 | -0.02 | 10% | 18 Jul → | ||
| 11–13 | 0.03 | 11% | 18 Jul → | ||
| 6–13 | -0.00 | 18% | 17 Jul → | ||
| 13–11 | 0.04 | 13% | 17 Jul → | ||
| 4–13 | -0.05 | 10% | 16 Jul → | ||
| 13–11 | -0.03 | 9% | 16 Jul → | ||
| 7–13 | 0.03 | 9% | 16 Jul → | ||
| 3–13 | -0.03 | 12% | 16 Jul → | ||
| 13–8 | 0.05 | 14% | 15 Jul → | ||
| 13–8 | 0.03 | 10% | 15 Jul → | ||
| 7–13 | -0.00 | 15% | 15 Jul → | ||
| 6–13 | -0.02 | 8% | 15 Jul → | ||
| 8–13 | -0.06 | 14% | 15 Jul → | ||
| 12–12 | -0.05 | 1% | 15 Jul → | ||
| 13–3 | -0.03 | 10% | 15 Jul → | ||
| 7–13 | 0.05 | 14% | 12 Jul → | ||
| 11–13 | 0.06 | 5% | 12 Jul → | ||
| 13–1 | 0.04 | 17% | 12 Jul → | ||
| 9–13 | -0.05 | 6% | 11 Jul → | ||
| 8–13 | 0.00 | 13% | 11 Jul → | ||
| 9–13 | -0.03 | 17% | 11 Jul → | ||
| 2–13 | -0.08 | 12% | 11 Jul → | ||
| office | 6–13 | -0.00 | 37% | 11 Jul → | |
| 2–13 | -0.03 | 8% | 10 Jul → | ||
| 13–6 | 0.01 | 17% | 10 Jul → | ||
| 13–4 | 0.09 | 11% | 10 Jul → | ||
| 4–13 | -0.07 | 9% | 10 Jul → | ||
| 9–13 | -0.02 | 11% | 8 Jul → | ||
| 13–8 | 0.02 | 14% | 8 Jul → | ||
| 13–9 | 0.01 | 21% | 8 Jul → | ||
| 1–13 | -0.05 | 19% | 8 Jul → | ||
| 1–13 | -0.08 | 11% | 5 Jul → | ||
| 9–13 | -0.05 | 18% | 4 Jul → | ||
| 13–4 | 0.00 | 5% | 4 Jul → | ||
| 0–13 | -0.05 | 0% | 3 Jul → |
Match data via Leetify.