❤☣Sunshine☣❤ — CS2 Stats
76561198016838442[U:1:56572714]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp 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 57% 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
Reaction time. 707ms 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 2.4/10 (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 |
|---|---|---|---|---|---|
| B | 24 | 11–13 | 46% | -0.05 | |
| D | 21 | 7–14 | 33% | -0.05 | |
| A | 14 | 8–6 | 57% | -0.04 | |
| C | 12 | 5–7 | 42% | -0.04 | |
| D | 9 | 1–8 | 11% | -0.05 | |
| C | 5 | 2–3 | 40% | -0.05 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| italy | — | 3 | 2–1 | 67% | -0.04 |
| thera | — | 2 | 1–1 | 50% | -0.00 |
| office | — | 2 | 0–2 | 0% | -0.07 |
| mills | — | 2 | 0–2 | 0% | -0.07 |
| — | 1 | 0–1 | 0% | -0.08 | |
| memento | — | 1 | 0–1 | 0% | -0.10 |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (11% over 9). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
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.
- 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 12.2348° — 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 8.3765% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 707.2726ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.12 | 11% | 23 Jul → | ||
| 13–11 | -0.02 | 12% | 19 Apr → | ||
| 3–13 | -0.06 | 3% | 5 Oct → | ||
| 13–11 | -0.02 | 9% | 5 Oct → | ||
| 13–8 | 0.06 | 16% | 5 Oct → | ||
| 9–13 | -0.05 | 6% | 5 Oct → | ||
| 4–13 | -0.08 | 14% | 18 Sept → | ||
| 13–5 | -0.04 | 5% | 1 Apr → | ||
| 7–13 | -0.01 | 7% | 1 Jan → | ||
| 9–13 | -0.06 | 16% | 27 Dec → | ||
| 0–13 | -0.09 | 0% | 27 Dec → | ||
| 2–13 | 0.01 | 8% | 15 Dec → | ||
| 5–13 | -0.03 | 6% | 15 Dec → | ||
| 2–13 | -0.11 | 14% | 10 Dec → | ||
| 13–6 | 0.04 | 7% | 10 Dec → | ||
| 13–9 | -0.09 | 12% | 16 Nov → | ||
| 4–13 | -0.09 | 7% | 15 Nov → | ||
| 9–13 | -0.00 | 9% | 10 Nov → | ||
| 7–13 | -0.06 | 8% | 10 Nov → | ||
| 10–13 | -0.10 | 6% | 10 Nov → | ||
| 13–5 | -0.05 | 10% | 7 Nov → | ||
| 13–5 | -0.03 | 5% | 7 Nov → | ||
| 7–13 | -0.08 | 0% | 7 Nov → | ||
| 8–13 | -0.04 | 9% | 5 Nov → | ||
| 13–10 | -0.03 | 6% | 5 Nov → | ||
| 13–5 | -0.00 | 2% | 5 Nov → | ||
| 4–13 | -0.08 | 28% | 4 Nov → | ||
| 13–7 | -0.01 | 5% | 4 Nov → | ||
| 11–13 | -0.08 | 4% | 31 Oct → | ||
| 12–12 | -0.01 | 5% | 31 Oct → | ||
| 11–13 | -0.04 | 11% | 23 Oct → | ||
| italy | 5–13 | -0.07 | 13% | 23 Oct → | |
| 12–12 | -0.01 | 3% | 17 Oct → | ||
| 13–6 | -0.08 | 9% | 17 Oct → | ||
| italy | 13–9 | 0.00 | 13% | 17 Oct → | |
| 11–13 | -0.09 | 15% | 16 Oct → | ||
| 13–9 | -0.09 | 13% | 16 Oct → | ||
| 13–11 | -0.09 | 2% | 5 Oct → | ||
| 5–13 | -0.11 | 7% | 5 Oct → | ||
| 13–9 | -0.04 | 10% | 5 Oct → | ||
| italy | 13–7 | -0.04 | 5% | 5 Oct → | |
| thera | 3–13 | -0.02 | 7% | 23 Sept → | |
| 11–13 | -0.05 | 16% | 23 Sept → | ||
| 8–13 | -0.01 | 7% | 22 Sept → | ||
| 13–8 | -0.04 | 9% | 22 Sept → | ||
| office | 2–13 | -0.08 | 21% | 22 Sept → | |
| 12–12 | -0.06 | 8% | 22 Sept → | ||
| 13–3 | -0.03 | 25% | 21 Sept → | ||
| office | 7–10 | -0.05 | 11% | 15 Sept → | |
| 13–4 | -0.04 | 13% | 15 Sept → | ||
| 13–10 | -0.02 | 7% | 15 Sept → | ||
| 5–13 | 0.03 | 9% | 14 Sept → | ||
| thera | 13–8 | 0.02 | 10% | 7 Sept → | |
| 13–8 | -0.03 | 19% | 7 Sept → | ||
| 1–13 | -0.13 | 11% | 2 Sept → | ||
| 12–12 | -0.04 | 10% | 2 Sept → | ||
| 12–12 | -0.00 | 4% | 2 Sept → | ||
| 13–7 | 0.04 | 6% | 1 Sept → | ||
| mills | 11–13 | -0.05 | 5% | 1 Sept → | |
| 7–13 | -0.06 | 17% | 1 Sept → | ||
| mills | 10–13 | -0.09 | 5% | 25 Aug → | |
| 13–4 | -0.04 | 19% | 4 Aug → | ||
| 11–13 | -0.08 | 16% | 4 Aug → | ||
| memento | 4–9 | -0.10 | 17% | 13 Jul → | |
| 8–13 | -0.06 | 5% | 22 Jun → | ||
| 4–13 | -0.05 | 7% | 25 May → | ||
| 2–13 | -0.06 | 9% | 19 May → | ||
| 13–10 | -0.05 | 12% | 7 Apr → | ||
| 12–12 | -0.02 | 10% | 10 Feb → | ||
| 5–13 | -0.05 | 13% | 3 Feb → | ||
| 1–13 | -0.14 | 8% | 27 Jan → | ||
| 3–13 | -0.16 | 20% | 21 Jan → | ||
| 5–13 | -0.09 | 9% | 13 Jan → | ||
| 1–11 | -0.08 | 0% | 30 Dec → | ||
| 5–13 | -0.08 | 6% | 26 Dec → | ||
| 1–13 | -0.08 | 19% | 24 Dec → | ||
| 13–11 | -0.05 | 9% | 23 Dec → | ||
| 2–13 | -0.08 | 15% | 17 Dec → | ||
| 13–11 | -0.03 | 4% | 10 Dec → | ||
| 3–13 | -0.11 | 3% | 9 Dec → | ||
| 9–13 | -0.04 | 16% | 3 Dec → | ||
| 13–7 | -0.03 | 12% | 2 Dec → | ||
| 8–13 | -0.01 | 17% | 19 Nov → | ||
| 13–11 | -0.03 | 4% | 11 Nov → | ||
| 13–8 | 0.05 | 14% | 11 Nov → | ||
| 3–13 | -0.06 | 9% | 24 Sept → | ||
| 7–13 | -0.09 | 12% | 24 Sept → | ||
| 10–13 | -0.00 | 7% | 23 Sept → | ||
| 13–11 | -0.02 | 10% | 23 Sept → | ||
| 9–13 | -0.04 | 11% | 17 Sept → | ||
| 13–10 | 0.03 | 16% | 17 Sept → | ||
| 7–13 | -0.06 | 2% | 17 Sept → | ||
| 13–7 | -0.00 | 15% | 17 Sept → | ||
| 13–9 | -0.03 | 8% | 16 Sept → | ||
| 13–5 | -0.01 | 10% | 16 Sept → | ||
| 14–16 | -0.09 | 7% | 11 Sept → | ||
| 6–13 | -0.04 | 4% | 11 Sept → | ||
| 13–11 | 0.01 | 8% | 11 Sept → | ||
| 11–13 | -0.10 | 14% | 9 Sept → | ||
| 13–7 | 0.04 | 10% | 9 Sept → |
Match data via Leetify.