GoyMart — CS2 Stats
76561198313941797[U:1:353676069]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 ropz 85% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 58% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 623ms 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 4.5/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 19 | 7–12 | 37% | -0.02 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| S | 10 | 7–3 | 70% | -0.00 | |
| A | 9 | 5–4 | 56% | -0.03 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| A | 8 | 5–3 | 63% | -0.06 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| office | S | 7 | 5–2 | 71% | -0.02 |
| B | 6 | 3–3 | 50% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| alpine | — | 2 | 1–1 | 50% | -0.01 |
| italy | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
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 13.303% — 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 0.4652 — 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 36.8742% — 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.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 9% | 1 Jul → | ||
| 5–6 | -0.03 | 8% | 1 Jul → | ||
| office | 10–13 | -0.02 | 14% | 29 Jun → | |
| 13–7 | 0.03 | 14% | 29 Jun → | ||
| 13–10 | -0.01 | 17% | 29 Jun → | ||
| office | 13–8 | -0.01 | 12% | 26 Jun → | |
| 12–12 | -0.01 | 20% | 26 Jun → | ||
| 2–13 | -0.06 | 21% | 26 Jun → | ||
| office | 13–10 | 0.03 | 8% | 24 Jun → | |
| 13–16 | -0.05 | 17% | 24 Jun → | ||
| 13–9 | 0.04 | 15% | 24 Jun → | ||
| 9–13 | -0.06 | 12% | 24 Jun → | ||
| 12–12 | -0.09 | 14% | 24 Jun → | ||
| 10–0 | 0.07 | 18% | 24 Jun → | ||
| 13–11 | -0.00 | 10% | 23 Jun → | ||
| 2–13 | -0.08 | 17% | 19 Jun → | ||
| office | 13–8 | -0.02 | 11% | 17 Jun → | |
| 13–11 | 0.01 | 19% | 17 Jun → | ||
| 10–13 | -0.01 | 10% | 17 Jun → | ||
| 7–13 | -0.05 | 19% | 14 Jun → | ||
| 2–13 | -0.05 | 14% | 14 Jun → | ||
| 13–4 | 0.05 | 19% | 14 Jun → | ||
| 12–12 | -0.00 | 8% | 14 Jun → | ||
| 10–13 | -0.01 | 12% | 13 Jun → | ||
| 7–13 | 0.02 | 9% | 13 Jun → | ||
| 6–13 | -0.06 | 14% | 13 Jun → | ||
| 7–13 | -0.05 | 9% | 13 Jun → | ||
| 5–0 | 0.03 | 17% | 13 Jun → | ||
| 13–10 | -0.02 | 16% | 13 Jun → | ||
| office | 8–13 | -0.08 | 3% | 13 Jun → | |
| 13–4 | 0.02 | 16% | 13 Jun → | ||
| 12–12 | -0.00 | 11% | 13 Jun → | ||
| 7–13 | -0.06 | 7% | 13 Jun → | ||
| 13–5 | 0.00 | 12% | 12 Jun → | ||
| 12–12 | -0.05 | 18% | 10 Jun → | ||
| 13–7 | -0.00 | 22% | 10 Jun → | ||
| office | 13–9 | -0.02 | 22% | 10 Jun → | |
| 11–13 | -0.03 | 20% | 10 Jun → | ||
| 11–13 | -0.03 | 21% | 10 Jun → | ||
| 13–6 | -0.01 | 20% | 10 Jun → | ||
| 13–11 | -0.00 | 18% | 10 Jun → | ||
| 9–13 | -0.00 | 6% | 8 Jun → | ||
| 13–5 | 0.07 | 17% | 8 Jun → | ||
| 13–10 | -0.02 | 31% | 7 Jun → | ||
| 13–5 | -0.01 | 16% | 7 Jun → | ||
| 11–13 | 0.10 | 15% | 5 Jun → | ||
| 13–5 | 0.02 | 12% | 5 Jun → | ||
| 13–9 | -0.02 | 25% | 5 Jun → | ||
| 1–13 | -0.03 | 21% | 2 Jun → | ||
| italy | 7–13 | 0.02 | 15% | 1 Jun → | |
| 13–5 | -0.02 | 17% | 1 Jun → | ||
| 9–7 | -0.11 | 13% | 1 Jun → | ||
| 13–7 | 0.09 | 20% | 1 Jun → | ||
| 11–13 | 0.01 | 30% | 1 Jun → | ||
| 12–12 | -0.01 | 27% | 1 Jun → | ||
| 13–3 | 0.05 | 18% | 30 May → | ||
| 13–2 | 0.00 | 21% | 30 May → | ||
| 9–13 | 0.05 | 17% | 30 May → | ||
| 13–8 | -0.04 | 16% | 30 May → | ||
| 13–2 | 0.02 | 15% | 30 May → | ||
| 12–12 | -0.06 | 24% | 30 May → | ||
| 9–13 | -0.09 | 35% | 30 May → | ||
| 13–10 | -0.03 | 27% | 30 May → | ||
| office | 13–3 | -0.02 | 4% | 30 May → | |
| 13–5 | -0.06 | 10% | 30 May → | ||
| 13–9 | -0.04 | 15% | 30 May → | ||
| 13–6 | -0.03 | 20% | 30 May → | ||
| 13–6 | -0.04 | 25% | 30 May → | ||
| 13–1 | 0.04 | 27% | 30 May → | ||
| 13–4 | -0.04 | 21% | 30 May → | ||
| 2–13 | -0.05 | 18% | 28 May → | ||
| 13–10 | -0.04 | 20% | 28 May → | ||
| alpine | 9–13 | 0.04 | 30% | 28 May → | |
| 9–13 | -0.07 | 29% | 27 May → | ||
| 13–4 | -0.10 | 9% | 27 May → | ||
| 13–9 | 0.04 | 15% | 27 May → | ||
| 8–13 | -0.00 | 9% | 27 May → | ||
| 7–13 | -0.02 | 15% | 27 May → | ||
| 13–5 | 0.00 | 22% | 26 May → | ||
| 12–4 | -0.02 | 45% | 26 May → | ||
| 12–12 | -0.01 | 12% | 26 May → | ||
| 9–13 | 0.02 | 10% | 25 May → | ||
| 11–13 | 0.00 | 25% | 25 May → | ||
| 11–13 | -0.10 | 17% | 25 May → | ||
| 9–13 | 0.01 | 19% | 25 May → | ||
| 13–11 | -0.04 | 24% | 25 May → | ||
| 13–9 | -0.02 | 18% | 25 May → | ||
| 13–8 | -0.02 | 22% | 25 May → | ||
| 13–10 | -0.06 | 22% | 24 May → | ||
| 13–2 | 0.01 | 17% | 24 May → | ||
| 13–4 | -0.06 | 12% | 24 May → | ||
| 3–9 | -0.26 | 0% | 24 May → | ||
| 13–10 | -0.09 | 13% | 24 May → | ||
| 8–13 | 0.02 | 41% | 24 May → | ||
| 13–1 | 0.01 | 8% | 24 May → | ||
| alpine | 13–4 | -0.06 | 22% | 24 May → | |
| 13–9 | 0.01 | 15% | 24 May → | ||
| 12–12 | -0.00 | 18% | 23 May → | ||
| 13–11 | 0.00 | 25% | 23 May → | ||
| 9–13 | -0.07 | 12% | 23 May → |
Match data via Leetify.