wong — CS2 Stats
76561198079390726[U:1:119124998]
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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
 mirage | A | 17 | 10–7 | 59% | 0.04 |
 overpass | B | 13 | 7–6 | 54% | 0.06 |
 anubis | S | 11 | 8–3 | 73% | 0.03 |
 cache | B | 10 | 5–5 | 50% | 0.06 |
 inferno | C | 9 | 4–5 | 44% | 0.07 |
 train | A | 8 | 5–3 | 63% | 0.05 |
 ancient | B | 8 | 4–4 | 50% | 0.07 |
 dust2 | A | 8 | 5–3 | 63% | 0.05 |
 nuke | A | 5 | 3–2 | 60% | 0.07 |
| office | A | 5 | 3–2 | 60% | 0.07 |
 vertigo | — | 4 | 1–3 | 25% | 0.01 |
| boulder | — | 1 | 1–0 | 100% | 0.06 |
| shelter | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 74 | 45% | 1.16 | 15.5 |
| Anubis | 67 | 46% | 1.21 | 17.3 |
| Ancient | 36 | 47% | 1.22 | 17.8 |
| Inferno | 35 | 54% | 1.08 | 17.2 |
| Dust2 | 34 | 56% | 1.20 | 18.2 |
| Overpass | 18 | 78% | 1.50 | 18.8 |
| Nuke | 14 | 64% | 1.33 | 18.1 |
| Vertigo | 12 | 33% | 1.08 | 17.5 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4758 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 4–13 | -0.01 | 20% | 27 Aug → | |
| cache | 13–11 | 0.06 | 12% | 25 Aug → | |
| train | 13–5 | 0.06 | 17% | 25 Aug → | |
| ancient | 13–0 | 0.19 | 20% | 25 Aug → | |
| mirage | 11–13 | -0.03 | 16% | 11 Aug → | |
| inferno | 13–8 | 0.03 | 20% | 11 Aug → | |
| train | 13–2 | 0.09 | 24% | 11 Aug → | |
| overpass | 13–3 | 0.07 | 24% | 5 Aug → | |
| nuke | 13–3 | 0.19 | 17% | 5 Aug → | |
| mirage | 13–1 | 0.11 | 17% | 2 Aug → | |
| inferno | 10–13 | 0.06 | 21% | 1 Aug → | |
| nuke | 10–13 | 0.06 | 21% | 1 Aug → | |
| anubis | 13–7 | 0.04 | 19% | 22 Jul → | |
| anubis | 13–8 | 0.08 | 11% | 22 Jul → | |
| train | 6–13 | 0.02 | 8% | 16 Jul → | |
| mirage | 13–5 | 0.06 | 16% | 15 Jul → | |
| mirage | 13–4 | 0.02 | 14% | 14 Jul → | |
| boulder | 13–7 | 0.06 | 18% | 10 Jul → | |
| shelter | 13–4 | 0.10 | 12% | 9 Jul → | |
| cache | 13–2 | 0.03 | 13% | 8 Jul → | |
| anubis | 13–2 | -0.00 | 32% | 7 Jul → | |
| ancient | 13–5 | 0.09 | 16% | 7 Jul → | |
| inferno | 8–13 | 0.08 | 25% | 6 Jul → | |
| cache | 13–3 | 0.09 | 15% | 5 Jul → | |
| anubis | 10–1 | 0.06 | 16% | 4 Jul → | |
| cache | 7–13 | 0.09 | 16% | 4 Jul → | |
| cache | 13–8 | 0.12 | 23% | 4 Jul → | |
| overpass | 13–8 | 0.03 | 19% | 25 Jun → | |
| mirage | 13–8 | 0.07 | 25% | 21 Jun → | |
| train | 13–7 | -0.01 | 34% | 17 Jun → | |
| train | 13–4 | 0.15 | 19% | 17 Jun → | |
| train | 0–13 | -0.09 | 22% | 17 Jun → | |
| ancient | 1–13 | -0.02 | 27% | 16 Jun → | |
| mirage | 11–13 | 0.04 | 15% | 14 Jun → | |
| ancient | 13–2 | 0.07 | 22% | 14 Jun → | |
| ancient | 13–8 | 0.15 | 20% | 13 Jun → | |
| inferno | 13–11 | 0.12 | 25% | 13 Jun → | |
| mirage | 12–12 | 0.11 | 19% | 13 Jun → | |
| dust2 | 13–10 | 0.05 | 18% | 13 Jun → | |
| dust2 | 12–12 | -0.03 | 10% | 12 Jun → | |
| mirage | 10–13 | -0.04 | 8% | 8 Jun → | |
| dust2 | 13–11 | 0.04 | 22% | 4 Jun → | |
| vertigo | 12–12 | 0.07 | 12% | 3 Jun → | |
| vertigo | 12–12 | -0.01 | 23% | 3 Jun → | |
| anubis | 13–8 | 0.03 | 12% | 1 Jun → | |
| anubis | 8–13 | -0.02 | 12% | 1 Jun → | |
| overpass | 8–13 | -0.03 | 22% | 25 May → | |
| cache | 0–13 | -0.01 | 15% | 24 May → | |
| overpass | 8–13 | 0.02 | 7% | 24 May → | |
| mirage | 13–11 | 0.08 | 24% | 23 May → | |
| mirage | 13–8 | 0.05 | 25% | 21 May → | |
| ancient | 11–13 | -0.04 | 19% | 18 May → | |
| office | 7–1 | 0.20 | 17% | 18 May → | |
| office | 13–7 | 0.06 | 22% | 18 May → | |
| cache | 12–12 | 0.10 | 15% | 9 May → | |
| cache | 12–12 | 0.02 | 22% | 8 May → | |
| mirage | 16–13 | 0.04 | 17% | 5 May → | |
| overpass | 9–13 | 0.06 | 32% | 5 May → | |
| overpass | 8–13 | 0.08 | 19% | 4 May → | |
| mirage | 5–13 | 0.01 | 12% | 4 May → | |
| dust2 | 13–2 | 0.18 | 18% | 3 May → | |
| nuke | 13–8 | 0.08 | 15% | 3 May → | |
| cache | 13–7 | 0.06 | 10% | 29 Apr → | |
| dust2 | 13–9 | 0.08 | 13% | 27 Apr → | |
| train | 13–6 | 0.10 | 13% | 26 Apr → | |
| dust2 | 13–11 | 0.02 | 20% | 16 Apr → | |
| inferno | 6–13 | 0.05 | 27% | 16 Apr → | |
| nuke | 7–13 | -0.03 | 19% | 16 Apr → | |
| anubis | 13–4 | 0.02 | 28% | 16 Apr → | |
| mirage | 16–14 | 0.02 | 22% | 16 Apr → | |
| overpass | 13–7 | 0.03 | 18% | 14 Apr → | |
| inferno | 13–9 | 0.13 | 18% | 14 Apr → | |
| ancient | 8–13 | 0.18 | 24% | 14 Apr → | |
| overpass | 13–4 | 0.09 | 17% | 12 Apr → | |
| dust2 | 7–13 | 0.03 | 15% | 12 Apr → | |
| vertigo | 4–13 | -0.04 | 19% | 10 Apr → | |
| vertigo | 13–6 | 0.02 | 29% | 10 Apr → | |
| ancient | 4–13 | -0.06 | 6% | 6 Apr → | |
| mirage | 13–10 | 0.06 | 25% | 6 Apr → | |
| anubis | 11–13 | -0.00 | 26% | 6 Apr → | |
| overpass | 8–13 | 0.00 | 21% | 29 Mar → | |
| anubis | 11–13 | 0.00 | 20% | 29 Mar → | |
| nuke | 13–5 | 0.05 | 16% | 18 Mar → | |
| anubis | 13–9 | 0.11 | 19% | 18 Mar → | |
| mirage | 9–13 | 0.02 | 16% | 18 Mar → | |
| office | 13–2 | 0.09 | 16% | 18 Mar → | |
| office | 1–5 | -0.09 | 20% | 18 Mar → | |
| office | 5–13 | 0.08 | 29% | 18 Mar → | |
| inferno | 10–13 | -0.01 | 8% | 17 Mar → | |
| overpass | 13–2 | 0.09 | 11% | 17 Mar → | |
| mirage | 16–13 | 0.00 | 13% | 17 Mar → | |
| train | 10–13 | 0.08 | 21% | 11 Mar → | |
| dust2 | 8–13 | 0.01 | 12% | 11 Mar → | |
| inferno | 9–13 | 0.08 | 18% | 11 Mar → | |
| overpass | 13–10 | 0.14 | 27% | 11 Mar → | |
| overpass | 13–2 | 0.08 | 21% | 11 Mar → | |
| overpass | 4–13 | 0.05 | 29% | 11 Mar → | |
| mirage | 9–13 | 0.08 | 15% | 10 Mar → | |
| anubis | 13–6 | 0.03 | 21% | 5 Mar → | |
| inferno | 13–5 | 0.10 | 17% | 5 Mar → |
Match data via Leetify.
