syrup sippa — CS2 Stats
76561198957024647[U:1:996758919]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingEffective flashes
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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 651ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 33 | 19–14 | 58% | 0.03 | |
| A | 28 | 18–10 | 64% | 0.03 | |
| S | 13 | 11–2 | 85% | 0.06 | |
| D | 9 | 2–7 | 22% | -0.02 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.13 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | 0.13 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 37 | 57% | 1.29 | 19.4 |
| Dust2 | 34 | 62% | 1.70 | 19.0 |
| Nuke | 14 | 71% | 1.59 | 20.2 |
| Inferno | 13 | 69% | 1.23 | 17.1 |
| Ancient | 8 | 25% | 1.11 | 19.6 |
| Overpass | 5 | 80% | 1.27 | 17.8 |
| Vertigo | 4 | 50% | 1.02 | 14.5 |
| Anubis | 3 | 0% | 0.42 | 6.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.02 | 21% | 28 Aug → | ||
| 13–4 | 0.05 | 17% | 21 Aug → | ||
| 13–6 | 0.07 | 23% | 21 Aug → | ||
| 10–13 | 0.06 | 29% | 21 Aug → | ||
| 7–13 | -0.02 | 15% | 20 Aug → | ||
| 13–2 | 0.07 | 18% | 20 Aug → | ||
| 13–10 | 0.03 | 15% | 10 Aug → | ||
| 13–2 | -0.00 | 23% | 10 Aug → | ||
| 2–13 | -0.05 | 15% | 10 Aug → | ||
| 13–4 | 0.12 | 14% | 6 Aug → | ||
| 13–3 | 0.10 | 31% | 6 Aug → | ||
| 13–4 | 0.14 | 30% | 5 Aug → | ||
| 10–13 | 0.13 | 32% | 1 Aug → | ||
| 13–10 | 0.01 | 10% | 31 Jul → | ||
| 4–13 | -0.05 | 10% | 31 Jul → | ||
| 10–13 | 0.04 | 21% | 31 Jul → | ||
| 13–9 | 0.02 | 21% | 24 Jul → | ||
| 13–8 | 0.03 | 7% | 24 Jul → | ||
| 13–9 | 0.09 | 16% | 11 Jul → | ||
| 13–7 | 0.09 | 24% | 11 Jul → | ||
| 10–13 | -0.00 | 21% | 10 Jul → | ||
| 11–13 | 0.01 | 17% | 19 Jun → | ||
| 13–8 | 0.01 | 26% | 19 Jun → | ||
| 8–8 | -0.05 | 27% | 15 Jun → | ||
| 19–15 | 0.07 | 14% | 14 Jun → | ||
| 13–5 | 0.05 | 21% | 14 Jun → | ||
| 10–13 | -0.02 | 24% | 25 May → | ||
| 9–4 | 0.12 | 19% | 15 May → | ||
| 13–7 | 0.19 | 34% | 12 May → | ||
| 13–3 | -0.03 | 21% | 8 May → | ||
| 6–13 | -0.01 | 27% | 8 May → | ||
| 9–13 | -0.04 | 28% | 8 May → | ||
| 13–10 | 0.08 | 31% | 1 May → | ||
| 13–5 | 0.08 | 18% | 12 Apr → | ||
| 13–4 | 0.02 | 22% | 12 Apr → | ||
| 13–6 | 0.01 | 27% | 6 Apr → | ||
| 13–3 | 0.20 | 27% | 6 Apr → | ||
| 11–13 | -0.02 | 20% | 6 Apr → | ||
| 7–13 | -0.03 | 22% | 4 Apr → | ||
| 13–10 | 0.07 | 22% | 4 Apr → | ||
| 11–13 | -0.02 | 21% | 3 Apr → | ||
| 13–4 | 0.03 | 23% | 3 Apr → | ||
| 13–4 | 0.00 | 13% | 3 Apr → | ||
| 14–16 | -0.04 | 15% | 3 Apr → | ||
| 4–13 | -0.01 | 27% | 31 Mar → | ||
| 5–13 | -0.04 | 28% | 30 Mar → | ||
| 11–13 | 0.09 | 25% | 30 Mar → | ||
| 13–11 | 0.02 | 35% | 28 Mar → | ||
| 13–10 | -0.02 | 26% | 23 Mar → | ||
| 13–8 | 0.04 | 27% | 23 Mar → | ||
| 16–12 | 0.04 | 18% | 23 Mar → | ||
| 11–13 | 0.07 | 27% | 21 Mar → | ||
| 13–4 | 0.08 | 19% | 21 Mar → | ||
| 13–10 | 0.10 | 19% | 20 Mar → | ||
| 13–6 | 0.06 | 27% | 20 Mar → | ||
| 13–3 | 0.27 | 25% | 20 Mar → | ||
| 13–3 | 0.02 | 26% | 19 Mar → | ||
| 13–5 | -0.02 | 14% | 19 Mar → | ||
| 13–2 | -0.03 | 9% | 19 Mar → | ||
| 7–13 | -0.05 | 29% | 12 Mar → | ||
| 11–13 | -0.01 | 24% | 9 Mar → | ||
| 13–5 | -0.01 | 26% | 8 Mar → | ||
| 13–6 | -0.00 | 28% | 6 Mar → | ||
| 9–13 | 0.05 | 31% | 24 Feb → | ||
| 19–17 | -0.01 | 25% | 22 Feb → | ||
| 13–11 | -0.03 | 27% | 22 Feb → | ||
| 12–16 | -0.01 | 18% | 20 Feb → | ||
| 10–13 | 0.02 | 31% | 20 Feb → | ||
| 13–3 | 0.07 | 19% | 20 Feb → | ||
| 16–13 | 0.01 | 19% | 20 Feb → | ||
| 10–13 | 0.03 | 15% | 17 Feb → | ||
| 11–13 | 0.01 | 33% | 16 Feb → | ||
| 13–16 | 0.00 | 26% | 12 Feb → | ||
| 16–14 | 0.01 | 23% | 12 Feb → | ||
| 19–17 | 0.01 | 32% | 12 Feb → | ||
| 13–8 | 0.06 | 31% | 12 Feb → | ||
| 13–4 | -0.01 | 23% | 12 Feb → | ||
| 13–3 | 0.02 | 34% | 10 Feb → | ||
| 7–13 | -0.00 | 31% | 10 Feb → | ||
| 13–8 | 0.14 | 30% | 9 Feb → | ||
| 13–10 | 0.00 | 28% | 7 Feb → | ||
| 5–13 | -0.01 | 17% | 7 Feb → | ||
| 13–11 | -0.03 | 21% | 7 Feb → | ||
| 13–8 | -0.06 | 10% | 7 Feb → | ||
| 7–13 | 0.06 | 38% | 6 Feb → | ||
| 13–4 | 0.01 | 21% | 6 Feb → | ||
| 8–13 | 0.02 | 28% | 5 Feb → | ||
| 7–9 | 0.06 | 29% | 5 Feb → | ||
| 7–13 | -0.01 | 20% | 4 Feb → | ||
| 6–13 | -0.03 | 43% | 4 Feb → | ||
| 7–13 | 0.06 | 33% | 2 Feb → | ||
| 13–11 | 0.01 | 18% | 2 Feb → | ||
| 9–13 | 0.14 | 33% | 2 Feb → | ||
| 16–14 | 0.08 | 27% | 2 Feb → | ||
| 8–13 | 0.03 | 22% | 1 Feb → | ||
| 16–12 | 0.03 | 12% | 1 Feb → | ||
| 9–13 | 0.06 | 13% | 1 Feb → | ||
| 10–13 | -0.00 | 31% | 1 Feb → | ||
| 5–13 | -0.03 | 21% | 31 Jan → | ||
| 13–4 | 0.07 | 28% | 31 Jan → |
Match data via Leetify.