Simmik — CS2 Stats
76561198962390246[U:1:1002124518]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 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 88% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 560ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 14 | 10–4 | 71% | 0.01 | |
| A | 14 | 8–6 | 57% | -0.02 | |
| C | 14 | 5–9 | 36% | -0.03 | |
| S | 13 | 12–1 | 92% | 0.02 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| S | 8 | 7–1 | 88% | 0.02 | |
| B | 8 | 4–4 | 50% | -0.04 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| boulder | — | 1 | 0–1 | 0% | 0.01 |
| italy | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 184 | 52% | 0.97 | 14.2 |
| Nuke | 154 | 53% | 0.93 | 13.6 |
| Anubis | 129 | 57% | 1.03 | 14.8 |
| Mirage | 77 | 49% | 0.90 | 13.4 |
| Vertigo | 61 | 52% | 1.02 | 14.6 |
| Inferno | 54 | 57% | 0.94 | 13.5 |
| Overpass | 51 | 51% | 1.02 | 14.5 |
| Dust2 | 48 | 48% | 0.92 | 13.1 |
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.
- 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 12.5306% — below the 15% 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 26.7044% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.04 | 7% | 23 Aug → | ||
| 10–13 | 0.03 | 10% | 19 Aug → | ||
| 13–0 | 0.06 | 8% | 18 Aug → | ||
| 13–16 | -0.01 | 16% | 16 Aug → | ||
| 13–7 | -0.03 | 4% | 12 Aug → | ||
| 13–8 | -0.00 | 17% | 12 Aug → | ||
| 13–5 | 0.03 | 15% | 8 Aug → | ||
| 13–7 | -0.04 | 6% | 8 Aug → | ||
| 11–13 | -0.02 | 9% | 4 Aug → | ||
| 13–5 | 0.04 | 10% | 1 Aug → | ||
| 9–13 | 0.06 | 15% | 1 Aug → | ||
| 11–13 | -0.01 | 14% | 1 Aug → | ||
| 13–11 | -0.03 | 12% | 31 Jul → | ||
| 13–9 | -0.01 | 10% | 30 Jul → | ||
| 8–13 | 0.01 | 11% | 30 Jul → | ||
| 7–11 | -0.07 | 9% | 28 Jul → | ||
| 13–5 | 0.02 | 18% | 28 Jul → | ||
| 8–13 | -0.06 | 9% | 25 Jul → | ||
| 13–4 | -0.04 | 9% | 24 Jul → | ||
| 13–11 | -0.01 | 8% | 24 Jul → | ||
| 14–16 | -0.03 | 23% | 24 Jul → | ||
| 13–8 | 0.05 | 23% | 23 Jul → | ||
| 13–9 | 0.04 | 14% | 23 Jul → | ||
| 11–13 | -0.06 | 13% | 23 Jul → | ||
| 13–1 | 0.10 | 32% | 21 Jul → | ||
| 13–7 | -0.07 | 0% | 21 Jul → | ||
| 16–13 | 0.04 | 16% | 21 Jul → | ||
| 14–16 | -0.03 | 5% | 20 Jul → | ||
| 11–13 | -0.02 | 10% | 20 Jul → | ||
| 8–13 | -0.01 | 22% | 20 Jul → | ||
| 6–13 | -0.08 | 0% | 20 Jul → | ||
| 1–13 | -0.05 | 9% | 18 Jul → | ||
| 16–14 | -0.07 | 11% | 18 Jul → | ||
| 9–13 | -0.05 | 0% | 17 Jul → | ||
| 13–8 | 0.06 | 14% | 16 Jul → | ||
| 13–1 | 0.08 | 14% | 16 Jul → | ||
| 13–7 | 0.05 | 15% | 15 Jul → | ||
| 13–5 | 0.01 | 17% | 15 Jul → | ||
| 16–14 | -0.01 | 15% | 15 Jul → | ||
| 13–4 | 0.01 | 14% | 15 Jul → | ||
| boulder | 10–13 | 0.01 | 11% | 13 Jul → | |
| 9–4 | 0.06 | 16% | 4 Jul → | ||
| 10–13 | -0.07 | 20% | 4 Jul → | ||
| 13–6 | -0.02 | 11% | 4 Jul → | ||
| 13–4 | -0.01 | 23% | 4 Jul → | ||
| 11–13 | 0.01 | 18% | 3 Jul → | ||
| 4–13 | -0.02 | 25% | 3 Jul → | ||
| 16–14 | -0.01 | 7% | 30 Jun → | ||
| 13–3 | -0.03 | 9% | 30 Jun → | ||
| 10–13 | 0.01 | 22% | 29 Jun → | ||
| 13–8 | 0.04 | 25% | 29 Jun → | ||
| 13–10 | -0.02 | 4% | 28 Jun → | ||
| 9–1 | -0.06 | 31% | 26 Jun → | ||
| 9–7 | 0.08 | 17% | 26 Jun → | ||
| 14–16 | -0.02 | 13% | 21 Jun → | ||
| 13–9 | -0.05 | 17% | 19 Jun → | ||
| 14–16 | -0.07 | 6% | 17 Jun → | ||
| 15–15 | -0.08 | 15% | 11 Jun → | ||
| 13–10 | -0.04 | 12% | 10 Jun → | ||
| 10–13 | 0.02 | 14% | 3 Jun → | ||
| 9–4 | 0.07 | 19% | 27 May → | ||
| 1–9 | -0.17 | 19% | 27 May → | ||
| 13–11 | 0.04 | 11% | 27 May → | ||
| 13–11 | -0.00 | 22% | 23 May → | ||
| 16–14 | -0.03 | 4% | 22 May → | ||
| 13–3 | 0.04 | 37% | 22 May → | ||
| 13–8 | 0.06 | 15% | 21 May → | ||
| 7–13 | -0.06 | 22% | 18 May → | ||
| 13–10 | 0.02 | 25% | 18 May → | ||
| 19–16 | -0.02 | 18% | 8 May → | ||
| 11–13 | -0.04 | 13% | 4 May → | ||
| 9–13 | -0.04 | 10% | 4 May → | ||
| 13–11 | 0.02 | 19% | 2 May → | ||
| 11–13 | 0.00 | 18% | 2 May → | ||
| 13–5 | 0.08 | 18% | 2 May → | ||
| 13–8 | 0.04 | 26% | 2 May → | ||
| 12–12 | -0.09 | 13% | 1 May → | ||
| 8–13 | -0.07 | 15% | 1 May → | ||
| 5–13 | -0.10 | 12% | 29 Apr → | ||
| italy | 13–10 | 0.08 | 17% | 26 Apr → | |
| 13–10 | 0.01 | 7% | 25 Apr → | ||
| 13–10 | 0.01 | 20% | 23 Apr → | ||
| 13–2 | 0.01 | 20% | 23 Apr → | ||
| 13–5 | 0.06 | 16% | 12 Apr → | ||
| 13–10 | -0.00 | 15% | 11 Apr → | ||
| 13–10 | 0.01 | 11% | 7 Apr → | ||
| 13–0 | 0.02 | 21% | 7 Apr → | ||
| 5–13 | -0.04 | 14% | 5 Apr → | ||
| 11–13 | 0.05 | 28% | 4 Apr → | ||
| 10–13 | 0.03 | 24% | 2 Apr → | ||
| 13–4 | 0.01 | 15% | 2 Apr → | ||
| 12–12 | -0.01 | 21% | 1 Apr → | ||
| 13–8 | 0.02 | 16% | 30 Mar → | ||
| 13–9 | -0.05 | 12% | 20 Mar → | ||
| 7–13 | -0.03 | 24% | 19 Mar → | ||
| 13–9 | -0.01 | 13% | 15 Mar → | ||
| 13–3 | 0.02 | 12% | 13 Mar → | ||
| 13–8 | 0.01 | 12% | 11 Mar → | ||
| 2–13 | -0.07 | 17% | 10 Mar → | ||
| 11–13 | 0.01 | 15% | 9 Mar → |
Match data via Leetify.