Noodle — CS2 Stats
76561198310435903[U:1:350170175]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp 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 ropz 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 52% on CT to 36% 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 6.0/10 (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 |
|---|---|---|---|---|---|
 cache | B | 15 | 8–7 | 53% | 0.02 |
 inferno | B | 15 | 7–8 | 47% | 0.03 |
 mirage | S | 14 | 10–4 | 71% | 0.02 |
 dust2 | B | 14 | 7–7 | 50% | 0.05 |
 nuke | A | 12 | 7–5 | 58% | 0.03 |
 ancient | C | 9 | 4–5 | 44% | 0.00 |
 overpass | S | 6 | 5–1 | 83% | 0.03 |
 anubis | C | 5 | 2–3 | 40% | 0.02 |
| office | — | 4 | 1–3 | 25% | -0.04 |
 vertigo | — | 4 | 1–3 | 25% | -0.01 |
| boulder | — | 1 | 0–1 | 0% | 0.10 |
| shelter | — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 100% | 1.87 | 23.3 |
| Anubis | 3 | 67% | 2.07 | 23.3 |
| Nuke | 1 | 100% | 0.89 | 17.0 |
| Inferno | 1 | 100% | 1.27 | 33.0 |
| Ancient | 1 | 0% | 1.47 | 22.0 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4666 — 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 36.4605% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–0 | -0.02 | 7% | 27 Aug → | |
| mirage | 13–11 | 0.05 | 20% | 27 Aug → | |
| ancient | 12–12 | 0.10 | 18% | 27 Aug → | |
| mirage | 13–11 | 0.03 | 16% | 24 Aug → | |
| dust2 | 8–13 | -0.01 | 15% | 24 Aug → | |
| inferno | 10–13 | 0.03 | 18% | 21 Aug → | |
| dust2 | 13–7 | 0.06 | 18% | 21 Aug → | |
| mirage | 0–9 | -0.09 | 36% | 20 Aug → | |
| ancient | 15–15 | -0.04 | 10% | 19 Aug → | |
| nuke | 9–13 | 0.05 | 22% | 19 Aug → | |
| cache | 8–13 | -0.06 | 6% | 17 Aug → | |
| anubis | 13–2 | -0.01 | 19% | 17 Aug → | |
| overpass | 13–10 | 0.02 | 12% | 17 Aug → | |
| inferno | 10–13 | 0.03 | 19% | 15 Aug → | |
| cache | 9–13 | -0.02 | 28% | 14 Aug → | |
| cache | 13–11 | 0.05 | 17% | 14 Aug → | |
| nuke | 11–2 | 0.05 | 35% | 14 Aug → | |
| ancient | 16–13 | 0.08 | 16% | 14 Aug → | |
| cache | 13–6 | 0.05 | 29% | 14 Aug → | |
| nuke | 13–5 | 0.11 | 24% | 14 Aug → | |
| cache | 14–16 | 0.01 | 17% | 13 Aug → | |
| mirage | 13–8 | 0.16 | 16% | 10 Aug → | |
| dust2 | 8–13 | 0.07 | 23% | 10 Aug → | |
| cache | 4–7 | 0.08 | 29% | 6 Aug → | |
| inferno | 13–7 | 0.06 | 21% | 6 Aug → | |
| overpass | 13–3 | 0.01 | 22% | 6 Aug → | |
| dust2 | 13–11 | 0.07 | 24% | 6 Aug → | |
| inferno | 13–7 | 0.03 | 22% | 5 Aug → | |
| mirage | 8–13 | -0.01 | 21% | 5 Aug → | |
| inferno | 9–13 | 0.02 | 8% | 4 Aug → | |
| cache | 13–8 | 0.10 | 21% | 4 Aug → | |
| dust2 | 12–12 | 0.03 | 15% | 4 Aug → | |
| ancient | 2–13 | 0.03 | 18% | 4 Aug → | |
| office | 4–13 | -0.09 | 20% | 23 Jul → | |
| inferno | 12–12 | 0.02 | 8% | 23 Jul → | |
| ancient | 0–13 | -0.09 | 12% | 20 Jul → | |
| dust2 | 13–11 | -0.03 | 14% | 20 Jul → | |
| vertigo | 13–9 | 0.05 | 19% | 18 Jul → | |
| inferno | 13–1 | 0.08 | 21% | 18 Jul → | |
| ancient | 13–7 | 0.05 | 14% | 18 Jul → | |
| mirage | 16–14 | 0.01 | 14% | 17 Jul → | |
| dust2 | 13–11 | 0.02 | 16% | 15 Jul → | |
| inferno | 13–4 | 0.05 | 29% | 15 Jul → | |
| overpass | 13–5 | 0.06 | 36% | 13 Jul → | |
| inferno | 13–5 | 0.04 | 17% | 13 Jul → | |
| nuke | 11–13 | 0.05 | 27% | 13 Jul → | |
| anubis | 12–12 | 0.01 | 7% | 13 Jul → | |
| cache | 9–13 | -0.03 | 27% | 13 Jul → | |
| dust2 | 10–13 | 0.15 | 29% | 13 Jul → | |
| overpass | 2–8 | -0.01 | 33% | 12 Jul → | |
| cache | 13–5 | 0.09 | 15% | 12 Jul → | |
| nuke | 13–4 | 0.07 | 39% | 12 Jul → | |
| cache | 6–13 | -0.02 | 24% | 12 Jul → | |
| inferno | 5–4 | 0.09 | 17% | 12 Jul → | |
| inferno | 12–12 | 0.04 | 13% | 9 Jul → | |
| boulder | 8–13 | 0.10 | 36% | 9 Jul → | |
| shelter | 8–13 | 0.11 | 23% | 8 Jul → | |
| anubis | 4–6 | 0.09 | 19% | 8 Jul → | |
| dust2 | 13–5 | 0.14 | 15% | 8 Jul → | |
| ancient | 13–5 | -0.06 | 24% | 8 Jul → | |
| cache | 13–10 | -0.04 | 19% | 8 Jul → | |
| nuke | 11–2 | -0.04 | 13% | 8 Jul → | |
| cache | 2–0 | 0.03 | 100% | 8 Jul → | |
| mirage | 6–13 | -0.04 | 14% | 8 Jul → | |
| mirage | 13–7 | -0.05 | 15% | 8 Jul → | |
| office | 11–13 | -0.05 | 23% | 8 Jul → | |
| office | 13–9 | -0.02 | 27% | 8 Jul → | |
| vertigo | 0–9 | -0.02 | 18% | 7 Jul → | |
| anubis | 13–10 | 0.07 | 17% | 7 Jul → | |
| inferno | 13–7 | 0.01 | 21% | 7 Jul → | |
| overpass | 13–8 | 0.10 | 21% | 7 Jul → | |
| cache | 13–3 | -0.02 | 23% | 7 Jul → | |
| nuke | 1–13 | 0.03 | 20% | 7 Jul → | |
| mirage | 13–10 | 0.08 | 16% | 7 Jul → | |
| anubis | 12–12 | -0.05 | 22% | 6 Jul → | |
| office | 8–13 | 0.01 | 46% | 6 Jul → | |
| vertigo | 12–12 | -0.05 | 28% | 6 Jul → | |
| nuke | 8–13 | -0.02 | 26% | 6 Jul → | |
| dust2 | 10–13 | -0.04 | 16% | 6 Jul → | |
| nuke | 13–11 | 0.04 | 27% | 6 Jul → | |
| dust2 | 13–7 | 0.08 | 21% | 6 Jul → | |
| inferno | 13–4 | 0.04 | 14% | 6 Jul → | |
| inferno | 12–12 | -0.01 | 10% | 2 Jul → | |
| cache | 8–13 | 0.02 | 13% | 2 Jul → | |
| mirage | 13–11 | -0.02 | 8% | 1 Jul → | |
| nuke | 13–8 | 0.04 | 24% | 1 Jul → | |
| nuke | 12–12 | -0.02 | 24% | 29 Jun → | |
| vertigo | 4–13 | -0.03 | 14% | 28 Jun → | |
| nuke | 13–6 | 0.01 | 43% | 27 Jun → | |
| mirage | 13–11 | 0.05 | 16% | 27 Jun → | |
| dust2 | 11–13 | -0.01 | 16% | 25 Jun → | |
| mirage | 16–12 | -0.04 | 30% | 25 Jun → | |
| ancient | 13–7 | -0.05 | 17% | 25 Jun → | |
| dust2 | 13–7 | 0.04 | 21% | 25 Jun → | |
| mirage | 13–8 | 0.05 | 20% | 25 Jun → | |
| ancient | 15–15 | -0.01 | 18% | 25 Jun → | |
| overpass | 13–10 | 0.02 | 19% | 25 Jun → | |
| inferno | 6–13 | -0.02 | 16% | 25 Jun → | |
| mirage | 11–13 | 0.07 | 23% | 25 Jun → | |
| dust2 | 9–13 | 0.14 | 26% | 24 Jun → |
Match data via Leetify.