rarit — CS2 Stats
76561198045810849[U:1:85545121]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 598ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| alpine | S | 20 | 18–2 | 90% | 0.01 |
| warden | S | 20 | 19–1 | 95% | 0.02 |
| B | 15 | 8–7 | 53% | -0.00 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.00 | |
| S | 5 | 4–1 | 80% | -0.00 | |
| A | 5 | 3–2 | 60% | -0.04 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| office | — | 2 | 2–0 | 100% | 0.00 |
| — | 1 | 0–1 | 0% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
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 13.845° — above the 12° mark we flag
- 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 14.7843% — below the 15% 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 0.3734 — 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.
45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.02 | 21% | 8 Aug → | ||
| 13–7 | -0.03 | 13% | 1 Jul → | ||
| 13–11 | -0.01 | 19% | 26 Jun → | ||
| 13–7 | 0.03 | 12% | 26 Jun → | ||
| 13–7 | 0.03 | 13% | 26 Jun → | ||
| 4–13 | 0.06 | 20% | 26 Jun → | ||
| 13–8 | -0.02 | 20% | 17 May → | ||
| 8–13 | 0.03 | 12% | 17 May → | ||
| 13–5 | 0.07 | 20% | 17 May → | ||
| alpine | 10–13 | 0.05 | 18% | 9 May → | |
| 13–4 | 0.04 | 24% | 9 May → | ||
| 13–9 | 0.02 | 17% | 9 May → | ||
| 13–5 | 0.05 | 13% | 2 May → | ||
| 11–13 | 0.01 | 31% | 2 May → | ||
| 13–10 | -0.03 | 8% | 11 Apr → | ||
| warden | 13–1 | 0.03 | 10% | 5 Mar → | |
| 7–13 | 0.02 | 13% | 5 Mar → | ||
| alpine | 13–3 | -0.01 | 14% | 5 Mar → | |
| 10–13 | 0.10 | 13% | 5 Mar → | ||
| 13–1 | 0.03 | 9% | 5 Mar → | ||
| alpine | 13–7 | 0.04 | 9% | 1 Mar → | |
| 6–13 | -0.03 | 9% | 1 Mar → | ||
| 12–12 | 0.06 | 11% | 1 Mar → | ||
| warden | 13–5 | -0.03 | 8% | 28 Feb → | |
| alpine | 13–10 | 0.01 | 6% | 28 Feb → | |
| warden | 13–9 | 0.04 | 16% | 28 Feb → | |
| 13–5 | -0.00 | 15% | 28 Feb → | ||
| 10–13 | -0.04 | 7% | 28 Feb → | ||
| 7–13 | 0.06 | 22% | 28 Feb → | ||
| 13–1 | 0.02 | 18% | 28 Feb → | ||
| 11–13 | 0.06 | 16% | 28 Feb → | ||
| warden | 13–3 | 0.04 | 8% | 26 Feb → | |
| 13–11 | -0.03 | 18% | 26 Feb → | ||
| alpine | 13–5 | 0.04 | 14% | 23 Feb → | |
| 13–2 | 0.03 | 19% | 23 Feb → | ||
| warden | 10–13 | -0.05 | 15% | 23 Feb → | |
| 13–2 | 0.00 | 12% | 23 Feb → | ||
| 4–3 | -0.00 | 11% | 22 Feb → | ||
| 13–10 | 0.07 | 14% | 22 Feb → | ||
| office | 13–10 | 0.06 | 18% | 22 Feb → | |
| office | 13–2 | -0.06 | 3% | 22 Feb → | |
| 13–6 | 0.02 | 18% | 22 Feb → | ||
| warden | 13–9 | 0.00 | 6% | 21 Feb → | |
| alpine | 13–5 | 0.09 | 15% | 21 Feb → | |
| warden | 13–5 | 0.06 | 19% | 21 Feb → | |
| alpine | 12–12 | -0.02 | 13% | 21 Feb → | |
| alpine | 13–9 | 0.03 | 19% | 19 Feb → | |
| alpine | 13–2 | 0.00 | 14% | 19 Feb → | |
| warden | 13–8 | 0.02 | 12% | 18 Feb → | |
| alpine | 13–2 | 0.10 | 21% | 18 Feb → | |
| warden | 13–2 | -0.02 | 18% | 16 Feb → | |
| warden | 13–2 | -0.00 | 7% | 15 Feb → | |
| alpine | 13–7 | -0.07 | 9% | 15 Feb → | |
| warden | 13–3 | 0.02 | 17% | 15 Feb → | |
| 13–3 | 0.01 | 9% | 14 Feb → | ||
| 13–7 | 0.01 | 16% | 14 Feb → | ||
| alpine | 13–7 | -0.02 | 13% | 14 Feb → | |
| warden | 13–2 | 0.09 | 9% | 14 Feb → | |
| alpine | 13–6 | 0.02 | 21% | 14 Feb → | |
| alpine | 8–1 | -0.02 | 35% | 14 Feb → | |
| warden | 13–2 | 0.01 | 9% | 14 Feb → | |
| warden | 13–4 | 0.01 | 19% | 14 Feb → | |
| alpine | 13–5 | -0.06 | 10% | 13 Feb → | |
| warden | 13–3 | 0.06 | 30% | 13 Feb → | |
| warden | 13–9 | 0.06 | 7% | 12 Feb → | |
| alpine | 13–3 | 0.05 | 17% | 12 Feb → | |
| alpine | 13–1 | 0.06 | 32% | 11 Feb → | |
| warden | 13–4 | -0.01 | 6% | 11 Feb → | |
| alpine | 13–5 | 0.01 | 11% | 11 Feb → | |
| alpine | 13–8 | -0.00 | 16% | 8 Feb → | |
| warden | 13–1 | 0.03 | 19% | 8 Feb → | |
| 13–8 | -0.04 | 6% | 8 Feb → | ||
| 13–7 | -0.06 | 2% | 8 Feb → | ||
| alpine | 13–10 | -0.03 | 12% | 8 Feb → | |
| 10–1 | 0.01 | 11% | 8 Feb → | ||
| 11–13 | 0.00 | 6% | 7 Feb → | ||
| 5–13 | -0.04 | 11% | 7 Feb → | ||
| 6–13 | -0.01 | 14% | 7 Feb → | ||
| 15–15 | -0.03 | 13% | 7 Feb → | ||
| 1–2 | 0.05 | 60% | 6 Feb → | ||
| 9–13 | -0.05 | 15% | 5 Feb → | ||
| 13–3 | -0.00 | 7% | 5 Feb → | ||
| warden | 13–9 | -0.02 | 12% | 5 Feb → | |
| 13–2 | 0.01 | 13% | 4 Feb → | ||
| 13–8 | -0.04 | 11% | 4 Feb → | ||
| warden | 13–8 | 0.06 | 13% | 3 Feb → | |
| 13–7 | 0.10 | 11% | 1 Feb → | ||
| 13–7 | 0.02 | 13% | 1 Feb → | ||
| 5–13 | -0.13 | 3% | 1 Feb → | ||
| 11–13 | -0.04 | 21% | 1 Feb → | ||
| 13–7 | -0.00 | 10% | 31 Jan → | ||
| 12–16 | -0.02 | 19% | 31 Jan → | ||
| 4–13 | -0.05 | 20% | 31 Jan → | ||
| 13–9 | 0.03 | 7% | 31 Jan → | ||
| 8–13 | -0.02 | 7% | 30 Jan → | ||
| 16–13 | -0.03 | 7% | 30 Jan → | ||
| 6–13 | -0.03 | 14% | 29 Jan → | ||
| 13–8 | -0.03 | 19% | 28 Jan → | ||
| 2–13 | -0.08 | 7% | 28 Jan → | ||
| 8–13 | -0.05 | 9% | 27 Jan → |
Match data via Leetify.