SwishaSweets — CS2 Stats
76561199081005699[U:1:1120739971]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 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 Twistzz 83% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Areas to improve
T-side openings. Opening success drops from 56% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 646ms 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 5.5/10 (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 |
|---|---|---|---|---|---|
| A | 37 | 22–15 | 59% | -0.01 | |
| S | 18 | 12–6 | 67% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.03 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 4 | 1–3 | 25% | -0.04 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| office | — | 3 | 0–3 | 0% | -0.04 |
Across the last 100 tracked matches.
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 14.2214% — 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 0.3586 — below the 0.5 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 23.91% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.09 | 14% | 27 Aug → | ||
| 9–13 | -0.00 | 21% | 24 Aug → | ||
| 13–5 | 0.01 | 12% | 21 Aug → | ||
| 13–2 | 0.01 | 13% | 21 Aug → | ||
| 13–6 | 0.01 | 18% | 19 Aug → | ||
| 11–13 | 0.04 | 13% | 19 Aug → | ||
| 3–13 | -0.10 | 16% | 18 Aug → | ||
| 13–8 | 0.04 | 22% | 16 Aug → | ||
| 3–13 | -0.06 | 11% | 16 Aug → | ||
| 9–13 | 0.02 | 15% | 13 Aug → | ||
| 13–0 | 0.10 | 20% | 13 Aug → | ||
| 13–11 | -0.03 | 7% | 12 Aug → | ||
| 13–4 | -0.03 | 19% | 6 Aug → | ||
| 13–5 | 0.02 | 23% | 5 Aug → | ||
| 6–13 | -0.03 | 13% | 5 Aug → | ||
| 11–13 | -0.00 | 11% | 3 Aug → | ||
| 9–13 | -0.03 | 7% | 3 Aug → | ||
| 13–8 | 0.02 | 19% | 3 Aug → | ||
| 13–9 | 0.02 | 18% | 3 Aug → | ||
| 13–5 | -0.02 | 17% | 31 Jul → | ||
| 2–13 | -0.06 | 5% | 31 Jul → | ||
| 13–5 | -0.03 | 17% | 31 Jul → | ||
| 13–10 | -0.00 | 11% | 29 Jul → | ||
| 12–12 | -0.01 | 10% | 29 Jul → | ||
| 13–8 | 0.05 | 6% | 29 Jul → | ||
| 12–12 | 0.04 | 12% | 29 Jul → | ||
| 7–13 | -0.07 | 22% | 28 Jul → | ||
| 7–13 | -0.07 | 18% | 27 Jul → | ||
| 13–10 | -0.04 | 7% | 27 Jul → | ||
| 13–6 | 0.03 | 15% | 27 Jul → | ||
| 13–11 | 0.00 | 12% | 26 Jul → | ||
| 7–13 | -0.05 | 27% | 26 Jul → | ||
| 8–13 | -0.03 | 11% | 26 Jul → | ||
| 15–15 | 0.03 | 14% | 26 Jul → | ||
| 4–13 | -0.10 | 11% | 26 Jul → | ||
| 13–10 | -0.02 | 14% | 26 Jul → | ||
| 13–9 | 0.05 | 13% | 26 Jul → | ||
| 6–13 | -0.10 | 50% | 26 Jul → | ||
| 13–9 | -0.02 | 29% | 24 Jul → | ||
| 12–12 | -0.06 | 7% | 24 Jul → | ||
| 10–13 | -0.05 | 26% | 23 Jul → | ||
| 13–8 | -0.04 | 26% | 20 Jul → | ||
| 13–9 | 0.01 | 22% | 20 Jul → | ||
| 3–11 | -0.06 | 33% | 20 Jul → | ||
| 12–12 | -0.04 | 14% | 7 Jul → | ||
| 8–3 | 0.05 | 8% | 7 Jul → | ||
| 10–13 | -0.06 | 20% | 26 May → | ||
| 13–6 | 0.03 | 14% | 26 May → | ||
| 6–13 | -0.07 | 26% | 20 May → | ||
| 13–9 | -0.02 | 11% | 19 May → | ||
| 8–13 | -0.11 | 13% | 12 May → | ||
| 11–13 | -0.06 | 19% | 12 May → | ||
| 13–5 | -0.06 | 20% | 11 May → | ||
| 13–10 | 0.01 | 12% | 11 May → | ||
| 13–9 | -0.06 | 14% | 6 May → | ||
| 16–14 | 0.05 | 16% | 6 May → | ||
| 13–5 | 0.11 | 21% | 6 May → | ||
| 13–4 | 0.00 | 14% | 6 May → | ||
| 3–13 | -0.08 | 7% | 5 May → | ||
| 13–4 | 0.01 | 15% | 4 May → | ||
| 13–2 | -0.01 | 15% | 4 May → | ||
| office | 12–12 | 0.00 | 23% | 3 May → | |
| 6–13 | 0.04 | 23% | 3 May → | ||
| 5–13 | -0.04 | 14% | 2 May → | ||
| 13–10 | -0.03 | 19% | 2 May → | ||
| 13–4 | -0.01 | 15% | 2 May → | ||
| 13–5 | -0.03 | 16% | 1 May → | ||
| 0–6 | -0.05 | 13% | 1 May → | ||
| 12–12 | -0.05 | 21% | 1 May → | ||
| 13–11 | -0.04 | 17% | 30 Apr → | ||
| 16–12 | 0.03 | 16% | 30 Apr → | ||
| 13–11 | -0.02 | 19% | 30 Apr → | ||
| 9–13 | 0.04 | 14% | 29 Apr → | ||
| 13–6 | -0.03 | 30% | 29 Apr → | ||
| 0–5 | -0.09 | 0% | 27 Apr → | ||
| 5–2 | 0.06 | 23% | 27 Apr → | ||
| 13–4 | 0.02 | 13% | 27 Apr → | ||
| 13–2 | -0.00 | 7% | 26 Apr → | ||
| 4–13 | -0.06 | 12% | 24 Apr → | ||
| 7–13 | -0.08 | 8% | 24 Apr → | ||
| 13–10 | -0.04 | 12% | 22 Apr → | ||
| 15–15 | -0.05 | 17% | 21 Apr → | ||
| 8–3 | 0.06 | 24% | 21 Apr → | ||
| 10–13 | -0.01 | 14% | 7 Apr → | ||
| 13–10 | 0.03 | 23% | 7 Apr → | ||
| 10–13 | 0.04 | 16% | 31 Mar → | ||
| 4–13 | 0.01 | 29% | 31 Mar → | ||
| 9–13 | -0.04 | 15% | 30 Mar → | ||
| 10–13 | -0.04 | 15% | 30 Mar → | ||
| 3–13 | -0.02 | 8% | 30 Mar → | ||
| office | 5–13 | -0.06 | 23% | 24 Mar → | |
| office | 3–13 | -0.06 | 23% | 24 Mar → | |
| 6–13 | -0.08 | 5% | 22 Mar → | ||
| 14–16 | -0.02 | 15% | 22 Mar → | ||
| 13–9 | -0.02 | 9% | 9 Mar → | ||
| 13–7 | 0.02 | 24% | 2 Mar → | ||
| 13–6 | 0.01 | 14% | 2 Mar → | ||
| 13–8 | -0.01 | 25% | 2 Mar → | ||
| 8–13 | 0.01 | 17% | 23 Feb → | ||
| 13–9 | -0.02 | 13% | 23 Feb → |
Match data via Leetify.