NoodlesMcNoodles — CS2 Stats
US76561198798614233[U:1:838348505]Steam profile ↗✓ No bans
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 89% playstyle similarity
Most alike: aim profile, positioning profile.
Where you differ: lower 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.6/10 (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 |
|---|---|---|---|---|---|
 inferno | A | 21 | 13–8 | 62% | 0.04 |
 mirage | C | 13 | 5–8 | 38% | 0.01 |
 cache | C | 13 | 5–8 | 38% | 0.06 |
 train | S | 11 | 9–2 | 82% | 0.08 |
 ancient | B | 10 | 5–5 | 50% | 0.07 |
 vertigo | C | 10 | 4–6 | 40% | 0.05 |
 dust2 | S | 9 | 6–3 | 67% | 0.02 |
 nuke | C | 8 | 3–5 | 38% | 0.04 |
 anubis | — | 4 | 1–3 | 25% | 0.04 |
| fachwerk | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 45% | 1.14 | 16.7 |
| Dust2 | 10 | 40% | 1.68 | 18.5 |
| Ancient | 7 | 71% | 1.71 | 23.1 |
| Nuke | 3 | 100% | 1.07 | 19.0 |
| Overpass | 3 | 33% | 1.45 | 24.0 |
| Inferno | 3 | 33% | 1.37 | 19.3 |
| Anubis | 2 | 50% | 1.18 | 19.0 |
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.
- 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 28.0509% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | 0.06 | 35% | 25 Aug → | |
| inferno | 13–3 | 0.08 | 17% | 25 Aug → | |
| ancient | 13–8 | 0.03 | 25% | 24 Aug → | |
| ancient | 13–9 | 0.15 | 21% | 23 Aug → | |
| mirage | 13–7 | 0.06 | 36% | 22 Aug → | |
| ancient | 7–13 | 0.13 | 33% | 22 Aug → | |
| cache | 9–13 | 0.08 | 26% | 22 Aug → | |
| mirage | 10–13 | -0.02 | 25% | 22 Aug → | |
| train | 13–7 | 0.04 | 20% | 22 Aug → | |
| inferno | 8–13 | -0.02 | 17% | 22 Aug → | |
| ancient | 16–13 | 0.05 | 21% | 18 Aug → | |
| dust2 | 13–11 | -0.00 | 13% | 18 Aug → | |
| inferno | 2–13 | -0.06 | 14% | 17 Aug → | |
| dust2 | 4–13 | 0.05 | 28% | 16 Aug → | |
| inferno | 13–9 | -0.02 | 27% | 16 Aug → | |
| dust2 | 6–13 | -0.04 | 16% | 16 Aug → | |
| train | 13–9 | 0.09 | 27% | 15 Aug → | |
| inferno | 13–3 | 0.09 | 38% | 15 Aug → | |
| cache | 13–2 | 0.10 | 28% | 15 Aug → | |
| ancient | 7–13 | 0.13 | 28% | 15 Aug → | |
| nuke | 9–13 | 0.03 | 19% | 12 Aug → | |
| train | 13–4 | 0.14 | 50% | 12 Aug → | |
| cache | 5–13 | 0.01 | 41% | 12 Aug → | |
| train | 4–1 | 0.10 | 24% | 12 Aug → | |
| vertigo | 5–13 | -0.01 | 29% | 12 Aug → | |
| vertigo | 12–12 | -0.01 | 13% | 12 Aug → | |
| nuke | 5–13 | 0.02 | 17% | 9 Aug → | |
| dust2 | 13–11 | 0.04 | 23% | 9 Aug → | |
| inferno | 13–6 | 0.05 | 25% | 9 Aug → | |
| inferno | 2–13 | -0.02 | 36% | 8 Aug → | |
| nuke | 13–5 | 0.02 | 23% | 8 Aug → | |
| nuke | 4–0 | 0.11 | 27% | 8 Aug → | |
| vertigo | 6–13 | -0.03 | 33% | 8 Aug → | |
| vertigo | 12–12 | 0.06 | 18% | 8 Aug → | |
| vertigo | 12–12 | 0.10 | 33% | 7 Aug → | |
| vertigo | 13–6 | 0.19 | 35% | 7 Aug → | |
| cache | 12–12 | -0.03 | 26% | 6 Aug → | |
| inferno | 0–9 | -0.28 | 11% | 5 Aug → | |
| inferno | 9–4 | 0.18 | 29% | 5 Aug → | |
| inferno | 7–9 | 0.05 | 17% | 5 Aug → | |
| inferno | 9–5 | 0.15 | 25% | 5 Aug → | |
| inferno | 9–3 | 0.03 | 43% | 5 Aug → | |
| dust2 | 16–12 | 0.02 | 20% | 5 Aug → | |
| mirage | 12–12 | 0.03 | 39% | 5 Aug → | |
| ancient | 13–5 | 0.10 | 34% | 5 Aug → | |
| vertigo | 13–3 | 0.03 | 22% | 5 Aug → | |
| cache | 13–10 | 0.08 | 17% | 4 Aug → | |
| anubis | 12–12 | 0.04 | 22% | 4 Aug → | |
| train | 12–12 | 0.10 | 30% | 4 Aug → | |
| vertigo | 13–3 | 0.15 | 31% | 4 Aug → | |
| inferno | 11–13 | -0.05 | 28% | 4 Aug → | |
| train | 13–6 | 0.05 | 26% | 4 Aug → | |
| vertigo | 13–8 | 0.04 | 27% | 4 Aug → | |
| vertigo | 11–13 | 0.00 | 20% | 2 Aug → | |
| train | 13–5 | 0.07 | 22% | 2 Aug → | |
| mirage | 11–13 | -0.00 | 26% | 2 Aug → | |
| anubis | 6–13 | 0.07 | 31% | 2 Aug → | |
| mirage | 13–6 | 0.03 | 42% | 2 Aug → | |
| mirage | 6–13 | 0.01 | 20% | 2 Aug → | |
| anubis | 10–13 | 0.05 | 14% | 2 Aug → | |
| mirage | 9–13 | -0.02 | 16% | 2 Aug → | |
| inferno | 8–8 | 0.16 | 36% | 2 Aug → | |
| inferno | 9–2 | 0.13 | 33% | 2 Aug → | |
| nuke | 9–13 | 0.06 | 33% | 1 Aug → | |
| cache | 6–13 | 0.07 | 44% | 1 Aug → | |
| train | 13–4 | 0.07 | 32% | 1 Aug → | |
| anubis | 13–11 | 0.02 | 30% | 1 Aug → | |
| ancient | 11–13 | 0.02 | 33% | 1 Aug → | |
| inferno | 13–6 | 0.05 | 34% | 31 Jul → | |
| cache | 13–5 | 0.16 | 28% | 31 Jul → | |
| ancient | 3–13 | 0.01 | 20% | 30 Jul → | |
| train | 0–7 | 0.01 | 22% | 30 Jul → | |
| train | 13–10 | 0.14 | 30% | 30 Jul → | |
| ancient | 13–10 | 0.13 | 21% | 30 Jul → | |
| mirage | 3–13 | -0.04 | 21% | 30 Jul → | |
| dust2 | 4–13 | -0.01 | 18% | 30 Jul → | |
| mirage | 13–5 | -0.01 | 30% | 30 Jul → | |
| inferno | 13–4 | 0.09 | 26% | 30 Jul → | |
| inferno | 13–5 | 0.02 | 35% | 30 Jul → | |
| nuke | 12–12 | 0.00 | 21% | 30 Jul → | |
| dust2 | 13–8 | 0.03 | 26% | 30 Jul → | |
| cache | 9–13 | 0.07 | 20% | 30 Jul → | |
| fachwerk | 13–5 | 0.05 | 36% | 30 Jul → | |
| ancient | 2–13 | -0.03 | 29% | 30 Jul → | |
| mirage | 7–13 | -0.06 | 38% | 30 Jul → | |
| nuke | 13–6 | 0.05 | 52% | 30 Jul → | |
| nuke | 8–13 | 0.01 | 23% | 29 Jul → | |
| cache | 12–12 | 0.02 | 39% | 29 Jul → | |
| train | 13–5 | 0.05 | 26% | 29 Jul → | |
| cache | 7–13 | 0.03 | 27% | 29 Jul → | |
| cache | 13–11 | 0.09 | 18% | 29 Jul → | |
| cache | 13–10 | 0.08 | 33% | 29 Jul → | |
| mirage | 7–13 | 0.05 | 29% | 29 Jul → | |
| inferno | 13–9 | 0.02 | 33% | 28 Jul → | |
| dust2 | 13–3 | 0.05 | 22% | 28 Jul → | |
| dust2 | 3–0 | 0.02 | 9% | 28 Jul → | |
| cache | 8–13 | -0.01 | 28% | 28 Jul → | |
| inferno | 5–13 | 0.07 | 41% | 28 Jul → | |
| mirage | 13–6 | 0.07 | 40% | 27 Jul → | |
| mirage | 13–11 | -0.01 | 43% | 26 Jul → |
Match data via Leetify.
