Chef Curry — CS2 Stats
US76561198166474348[U:1:206208620]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited 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 85% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 599ms 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 4.7/10 (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 | 27 | 11–16 | 41% | -0.04 | |
| B | 21 | 11–10 | 52% | -0.02 | |
| A | 20 | 11–9 | 55% | -0.01 | |
| D | 16 | 5–11 | 31% | -0.02 | |
| D | 6 | 1–5 | 17% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 3 | 3–0 | 100% | 0.05 | |
| — | 3 | 0–3 | 0% | -0.05 |
Across the last 100 tracked matches.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 49 | 63% | 0.93 | 13.9 |
| Dust2 | 42 | 52% | 0.73 | 11.1 |
| Inferno | 38 | 53% | 0.97 | 14.2 |
| Mirage | 32 | 41% | 0.91 | 13.0 |
| Ancient | 30 | 53% | 0.94 | 14.1 |
| Anubis | 5 | 60% | 1.11 | 15.4 |
| Overpass | 4 | 50% | 0.77 | 12.3 |
| Train | 1 | 0% | 0.80 | 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.
- 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 14.616% — 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 0.4209 — 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 28.8547% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.12 | 0% | 10 Aug → | ||
| 6–13 | -0.02 | 24% | 9 Aug → | ||
| 13–3 | 0.05 | 17% | 25 Jul → | ||
| 3–13 | -0.07 | 13% | 16 Jul → | ||
| 13–1 | 0.01 | 10% | 16 Jul → | ||
| 13–6 | 0.03 | 13% | 15 Jul → | ||
| 13–6 | 0.12 | 23% | 15 Jul → | ||
| 7–13 | 0.00 | 11% | 12 Jul → | ||
| 13–5 | 0.08 | 8% | 12 Jul → | ||
| 13–9 | -0.03 | 12% | 12 Jul → | ||
| 11–13 | -0.01 | 17% | 11 Jul → | ||
| 13–11 | -0.07 | 13% | 11 Jul → | ||
| 4–13 | -0.03 | 20% | 11 Jul → | ||
| 16–14 | 0.02 | 11% | 11 Jul → | ||
| 13–11 | -0.01 | 9% | 1 Jul → | ||
| 2–7 | -0.12 | 7% | 1 Jul → | ||
| 13–7 | -0.05 | 27% | 30 Jun → | ||
| 12–5 | -0.01 | 31% | 29 Jun → | ||
| 10–13 | -0.01 | 20% | 29 Jun → | ||
| 13–16 | -0.04 | 13% | 29 Jun → | ||
| 13–8 | 0.05 | 21% | 29 Jun → | ||
| 13–7 | 0.06 | 18% | 28 Jun → | ||
| 5–13 | -0.02 | 12% | 28 Jun → | ||
| 13–9 | -0.06 | 12% | 28 Jun → | ||
| 5–13 | -0.04 | 14% | 28 Jun → | ||
| 9–13 | -0.07 | 13% | 28 Jun → | ||
| 13–5 | -0.02 | 20% | 27 Jun → | ||
| 9–13 | -0.03 | 15% | 27 Jun → | ||
| 11–13 | -0.06 | 7% | 26 Jun → | ||
| 13–7 | 0.05 | 11% | 19 Jun → | ||
| 15–15 | -0.05 | 8% | 19 Jun → | ||
| 3–13 | -0.04 | 13% | 19 Jun → | ||
| 13–10 | -0.02 | 15% | 19 Jun → | ||
| 13–7 | -0.06 | 17% | 19 Jun → | ||
| 13–7 | 0.01 | 21% | 7 Jun → | ||
| 13–2 | 0.07 | 12% | 7 Jun → | ||
| 3–13 | -0.06 | 9% | 7 Jun → | ||
| 13–9 | -0.02 | 13% | 6 Jun → | ||
| 1–13 | -0.06 | 0% | 6 Jun → | ||
| 13–5 | 0.06 | 16% | 2 Jun → | ||
| 13–10 | -0.08 | 8% | 2 Jun → | ||
| 11–13 | -0.06 | 9% | 31 May → | ||
| 5–13 | -0.09 | 9% | 31 May → | ||
| 8–13 | -0.06 | 6% | 31 May → | ||
| 2–13 | -0.09 | 20% | 31 May → | ||
| 0–13 | -0.10 | 3% | 31 May → | ||
| 11–13 | -0.01 | 2% | 31 May → | ||
| 11–13 | 0.05 | 12% | 31 May → | ||
| 13–10 | -0.00 | 10% | 31 May → | ||
| 13–8 | 0.06 | 10% | 31 May → | ||
| 13–5 | -0.08 | 0% | 28 May → | ||
| 15–15 | -0.04 | 17% | 24 May → | ||
| 13–7 | 0.01 | 10% | 24 May → | ||
| 9–13 | -0.08 | 12% | 24 May → | ||
| 15–15 | 0.01 | 15% | 18 May → | ||
| 6–13 | -0.06 | 8% | 17 May → | ||
| 8–13 | -0.04 | 8% | 17 May → | ||
| 13–6 | -0.03 | 10% | 9 May → | ||
| 15–15 | 0.07 | 17% | 9 May → | ||
| 7–13 | -0.01 | 13% | 9 May → | ||
| 13–9 | -0.02 | 10% | 9 May → | ||
| 14–16 | -0.04 | 10% | 9 May → | ||
| 4–13 | -0.09 | 19% | 3 May → | ||
| 16–13 | -0.04 | 6% | 3 May → | ||
| 13–7 | -0.07 | 13% | 2 May → | ||
| 2–13 | -0.06 | 12% | 2 May → | ||
| 13–7 | -0.04 | 9% | 2 May → | ||
| 8–13 | 0.03 | 10% | 26 Apr → | ||
| 13–5 | 0.06 | 17% | 26 Apr → | ||
| 15–15 | 0.04 | 14% | 26 Apr → | ||
| 15–15 | 0.00 | 11% | 9 Apr → | ||
| 13–16 | -0.02 | 8% | 8 Apr → | ||
| 11–13 | -0.04 | 3% | 8 Apr → | ||
| 7–13 | -0.02 | 15% | 4 Apr → | ||
| 13–8 | -0.01 | 27% | 1 Apr → | ||
| 6–13 | 0.01 | 7% | 1 Apr → | ||
| 11–13 | -0.02 | 7% | 17 Mar → | ||
| 13–10 | -0.03 | 22% | 17 Mar → | ||
| 7–13 | -0.04 | 8% | 17 Mar → | ||
| 15–15 | 0.08 | 12% | 16 Mar → | ||
| 13–3 | 0.02 | 13% | 16 Mar → | ||
| 13–7 | -0.05 | 7% | 16 Mar → | ||
| 13–9 | -0.05 | 7% | 16 Mar → | ||
| 16–14 | -0.07 | 8% | 15 Mar → | ||
| 13–2 | 0.02 | 5% | 15 Mar → | ||
| 9–13 | -0.07 | 12% | 15 Mar → | ||
| 3–13 | -0.06 | 7% | 15 Mar → | ||
| 5–13 | -0.05 | 9% | 15 Mar → | ||
| 5–13 | 0.00 | 13% | 15 Mar → | ||
| 13–11 | -0.04 | 5% | 15 Mar → | ||
| 13–9 | -0.03 | 20% | 15 Mar → | ||
| 3–13 | -0.05 | 8% | 14 Mar → | ||
| 13–11 | -0.08 | 10% | 13 Mar → | ||
| 10–13 | -0.06 | 13% | 10 Mar → | ||
| 15–15 | -0.01 | 16% | 7 Mar → | ||
| 10–13 | -0.06 | 11% | 7 Mar → | ||
| 6–13 | -0.03 | 13% | 7 Mar → | ||
| 13–7 | 0.06 | 13% | 5 Mar → | ||
| 3–13 | -0.08 | 11% | 5 Mar → | ||
| 6–13 | 0.05 | 8% | 2 Mar → |
Match data via Leetify.