IcySyns — CS2 Stats
76561198808729108[U:1:848463380]
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 5.9/10 (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 | 33 | 18–15 | 55% | 0.01 | |
| A | 20 | 11–9 | 55% | 0.02 | |
| D | 13 | 3–10 | 23% | -0.02 | |
| S | 9 | 6–3 | 67% | 0.06 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| D | 6 | 2–4 | 33% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 1 | 0% | 0.58 | 11.0 |
| Nuke | 1 | 0% | 0.86 | 12.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7683 — below the 4 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 29.8938% — 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.
23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.02 | 17% | 16 Aug → | ||
| 13–6 | 0.02 | 18% | 6 Aug → | ||
| 13–5 | -0.06 | 9% | 31 Jul → | ||
| 13–11 | 0.01 | 17% | 31 Jul → | ||
| 10–13 | -0.01 | 6% | 27 Jul → | ||
| 13–5 | -0.02 | 24% | 27 Jul → | ||
| 7–13 | -0.02 | 8% | 22 Jul → | ||
| 10–13 | -0.01 | 12% | 16 Jul → | ||
| 13–11 | 0.04 | 22% | 16 Jul → | ||
| 4–13 | -0.03 | 25% | 6 Jul → | ||
| 13–6 | 0.04 | 17% | 4 Jul → | ||
| 13–9 | -0.01 | 17% | 28 Jun → | ||
| 13–9 | -0.02 | 14% | 14 Jun → | ||
| 13–8 | 0.09 | 9% | 14 Jun → | ||
| 8–13 | 0.01 | 13% | 13 Jun → | ||
| 11–13 | 0.08 | 17% | 8 Jun → | ||
| 13–6 | 0.06 | 45% | 8 Jun → | ||
| 9–13 | -0.03 | 24% | 31 May → | ||
| 13–16 | -0.03 | 20% | 29 May → | ||
| 13–9 | 0.01 | 13% | 29 May → | ||
| 11–13 | -0.00 | 7% | 18 May → | ||
| 13–8 | 0.03 | 14% | 16 May → | ||
| 13–7 | -0.02 | 20% | 14 May → | ||
| 7–13 | 0.03 | 10% | 12 May → | ||
| 13–8 | -0.01 | 21% | 12 May → | ||
| 16–13 | 0.03 | 6% | 12 May → | ||
| 13–8 | 0.06 | 14% | 12 May → | ||
| 12–12 | -0.04 | 18% | 11 May → | ||
| 13–11 | -0.04 | 21% | 11 May → | ||
| 9–13 | 0.00 | 11% | 9 May → | ||
| 3–13 | 0.01 | 14% | 9 May → | ||
| 2–13 | -0.00 | 33% | 8 May → | ||
| 13–2 | 0.14 | 6% | 6 May → | ||
| 13–6 | 0.06 | 14% | 6 May → | ||
| 5–13 | 0.03 | 6% | 4 May → | ||
| 0–8 | -0.09 | 50% | 4 May → | ||
| 10–13 | 0.02 | 21% | 3 May → | ||
| 13–10 | 0.03 | 18% | 3 May → | ||
| 11–13 | 0.00 | 11% | 30 Apr → | ||
| 13–10 | 0.11 | 10% | 27 Apr → | ||
| 13–7 | 0.12 | 20% | 27 Apr → | ||
| 2–13 | 0.05 | 17% | 27 Apr → | ||
| 13–10 | -0.04 | 6% | 18 Apr → | ||
| 3–13 | -0.02 | 20% | 18 Apr → | ||
| 3–13 | -0.06 | 28% | 17 Apr → | ||
| 13–11 | -0.00 | 10% | 13 Apr → | ||
| 5–13 | 0.05 | 16% | 13 Apr → | ||
| 9–13 | 0.01 | 14% | 12 Apr → | ||
| 7–2 | -0.05 | 0% | 12 Apr → | ||
| 13–2 | 0.02 | 21% | 12 Apr → | ||
| 10–13 | 0.00 | 8% | 12 Apr → | ||
| 13–10 | 0.01 | 17% | 12 Apr → | ||
| 4–13 | -0.01 | 4% | 12 Apr → | ||
| 13–8 | 0.02 | 22% | 12 Apr → | ||
| 13–7 | 0.05 | 13% | 6 Apr → | ||
| 12–12 | 0.04 | 22% | 29 Mar → | ||
| 13–5 | 0.03 | 17% | 29 Mar → | ||
| 13–7 | 0.06 | 13% | 29 Mar → | ||
| 13–9 | 0.02 | 10% | 14 Mar → | ||
| 13–11 | 0.02 | 10% | 14 Mar → | ||
| 9–13 | 0.02 | 15% | 12 Feb → | ||
| 13–10 | 0.03 | 13% | 31 Jan → | ||
| 13–9 | -0.01 | 6% | 12 Jan → | ||
| 12–12 | 0.03 | 19% | 12 Jan → | ||
| 5–13 | -0.01 | 17% | 7 Jan → | ||
| 13–7 | -0.02 | 10% | 5 Jan → | ||
| 6–1 | 0.01 | 22% | 5 Jan → | ||
| 7–0 | 0.05 | 67% | 5 Jan → | ||
| 13–8 | 0.07 | 16% | 11 Nov → | ||
| 13–16 | 0.02 | 7% | 11 Nov → | ||
| 9–13 | 0.02 | 12% | 10 Nov → | ||
| 13–16 | 0.04 | 16% | 9 Nov → | ||
| 7–13 | 0.01 | 18% | 9 Nov → | ||
| 13–8 | 0.08 | 11% | 8 Nov → | ||
| 13–3 | 0.05 | 21% | 8 Nov → | ||
| 8–13 | 0.02 | 22% | 3 Oct → | ||
| 4–13 | -0.12 | 14% | 30 Sept → | ||
| 12–12 | -0.03 | 13% | 29 Sept → | ||
| 13–10 | 0.04 | 27% | 29 Sept → | ||
| 13–10 | 0.12 | 18% | 29 Sept → | ||
| 13–5 | 0.19 | 17% | 29 Sept → | ||
| 6–13 | -0.01 | 14% | 29 Sept → | ||
| 13–10 | 0.12 | 23% | 29 Sept → | ||
| 13–6 | 0.05 | 20% | 29 Sept → | ||
| 13–10 | 0.06 | 27% | 27 Sept → | ||
| 15–15 | -0.01 | 13% | 2 Aug → | ||
| 14–16 | -0.06 | 11% | 20 Jul → | ||
| 13–10 | 0.02 | 25% | 30 Jun → | ||
| 6–13 | 0.02 | 7% | 15 Jun → | ||
| 7–13 | -0.02 | 12% | 15 Jun → | ||
| 8–13 | 0.04 | 24% | 9 Jun → | ||
| 7–13 | -0.04 | 33% | 2 Jun → | ||
| 1–9 | -0.21 | 0% | 2 Jun → | ||
| 10–13 | 0.01 | 18% | 28 May → | ||
| 12–12 | 0.06 | 29% | 27 May → | ||
| 6–13 | -0.04 | 11% | 19 May → | ||
| 7–13 | -0.04 | 11% | 4 Apr → | ||
| 13–7 | -0.03 | 14% | 4 Apr → | ||
| 5–13 | -0.05 | 8% | 29 Mar → | ||
| 10–13 | 0.00 | 33% | 17 Mar → |
Match data via Leetify.