NoobNr1 — CS2 Stats
76561198103611977[U:1:143346249]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 jL 93% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 59% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 572ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| S | 26 | 18–8 | 69% | 0.02 | |
| S | 21 | 15–6 | 71% | 0.01 | |
| A | 18 | 11–7 | 61% | 0.02 | |
| D | 10 | 3–7 | 30% | 0.02 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.03 | |
| S | 5 | 5–0 | 100% | 0.05 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| shelter | — | 1 | 1–0 | 100% | 0.05 |
| alpine | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 6 | 67% | 1.16 | 15.2 |
| Cache | 3 | 67% | 1.11 | 17.0 |
| Anubis | 3 | 33% | 1.09 | 15.7 |
| Nuke | 1 | 100% | 1.21 | 23.0 |
| Mirage | 1 | 100% | 0.67 | 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.
- 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 0.4867 — 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 34.1323% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.04 | 13% | 27 Aug → | ||
| 13–6 | -0.00 | 28% | 25 Aug → | ||
| 13–4 | 0.10 | 22% | 20 Aug → | ||
| 4–13 | -0.01 | 25% | 18 Aug → | ||
| 0–4 | -0.05 | 0% | 18 Aug → | ||
| 13–10 | 0.04 | 20% | 17 Aug → | ||
| 13–2 | 0.03 | 22% | 17 Aug → | ||
| 13–5 | -0.02 | 22% | 17 Aug → | ||
| 13–9 | 0.03 | 27% | 16 Aug → | ||
| 13–11 | -0.04 | 20% | 16 Aug → | ||
| 15–15 | 0.03 | 13% | 16 Aug → | ||
| 13–9 | 0.01 | 15% | 14 Aug → | ||
| 10–13 | -0.04 | 17% | 30 Jul → | ||
| 13–9 | 0.01 | 19% | 30 Jul → | ||
| 13–11 | -0.01 | 7% | 29 Jul → | ||
| 13–10 | -0.05 | 10% | 29 Jul → | ||
| 5–13 | 0.11 | 24% | 29 Jul → | ||
| 13–7 | 0.01 | 11% | 29 Jul → | ||
| 13–9 | 0.01 | 24% | 29 Jul → | ||
| 13–10 | -0.02 | 19% | 29 Jul → | ||
| 8–13 | -0.01 | 42% | 28 Jul → | ||
| 13–7 | -0.01 | 23% | 27 Jul → | ||
| 11–13 | 0.06 | 15% | 27 Jul → | ||
| 13–3 | 0.11 | 35% | 27 Jul → | ||
| 13–7 | 0.08 | 22% | 26 Jul → | ||
| 7–13 | -0.03 | 20% | 24 Jul → | ||
| 7–13 | -0.00 | 25% | 24 Jul → | ||
| 15–15 | 0.04 | 16% | 23 Jul → | ||
| 13–3 | 0.05 | 19% | 23 Jul → | ||
| 9–13 | -0.01 | 26% | 16 Jul → | ||
| shelter | 13–8 | 0.05 | 21% | 14 Jul → | |
| 1–13 | 0.05 | 18% | 14 Jul → | ||
| 13–6 | -0.00 | 19% | 14 Jul → | ||
| 11–13 | -0.01 | 23% | 12 Jul → | ||
| 13–1 | 0.05 | 28% | 12 Jul → | ||
| 13–7 | 0.09 | 18% | 11 Jul → | ||
| 6–13 | -0.06 | 6% | 11 Jul → | ||
| 13–7 | -0.04 | 11% | 9 Jul → | ||
| 13–8 | 0.07 | 14% | 7 Jul → | ||
| 13–5 | 0.07 | 16% | 7 Jul → | ||
| 13–8 | -0.03 | 12% | 7 Jul → | ||
| 1–13 | -0.07 | 20% | 1 Jul → | ||
| 13–7 | -0.00 | 24% | 1 Jul → | ||
| 13–4 | 0.03 | 13% | 1 Jul → | ||
| 3–13 | -0.06 | 19% | 30 Jun → | ||
| 13–3 | 0.05 | 17% | 30 Jun → | ||
| 12–12 | -0.08 | 10% | 21 Jun → | ||
| 11–13 | 0.04 | 22% | 18 Jun → | ||
| 12–12 | -0.00 | 26% | 17 Jun → | ||
| 8–13 | 0.03 | 18% | 7 Jun → | ||
| 8–3 | -0.03 | 21% | 7 Jun → | ||
| 8–13 | -0.02 | 20% | 6 Jun → | ||
| 12–12 | -0.01 | 17% | 6 Jun → | ||
| alpine | 10–13 | 0.00 | 18% | 6 Jun → | |
| 5–13 | -0.02 | 37% | 3 Jun → | ||
| 13–9 | 0.01 | 12% | 3 Jun → | ||
| 13–8 | 0.00 | 28% | 1 Jun → | ||
| 13–8 | 0.03 | 20% | 1 Jun → | ||
| 12–12 | 0.00 | 15% | 30 May → | ||
| 5–13 | -0.01 | 15% | 29 May → | ||
| 13–4 | 0.06 | 24% | 28 May → | ||
| 11–13 | -0.00 | 25% | 28 May → | ||
| 13–11 | -0.03 | 26% | 27 May → | ||
| 13–4 | 0.09 | 18% | 27 May → | ||
| 13–8 | 0.02 | 33% | 26 May → | ||
| 13–1 | -0.02 | 20% | 25 May → | ||
| 7–13 | 0.01 | 41% | 24 May → | ||
| 13–6 | -0.01 | 41% | 23 May → | ||
| 13–9 | 0.09 | 17% | 21 May → | ||
| 13–9 | 0.00 | 18% | 20 May → | ||
| 16–12 | 0.07 | 28% | 19 May → | ||
| 13–7 | 0.03 | 12% | 19 May → | ||
| 8–1 | 0.10 | 13% | 17 May → | ||
| 13–7 | 0.00 | 11% | 16 May → | ||
| 13–6 | 0.01 | 13% | 16 May → | ||
| 13–7 | 0.01 | 16% | 16 May → | ||
| 16–12 | 0.09 | 26% | 16 May → | ||
| 8–13 | -0.01 | 25% | 16 May → | ||
| 13–11 | 0.04 | 16% | 15 May → | ||
| 13–1 | 0.05 | 14% | 10 May → | ||
| 13–8 | 0.07 | 13% | 9 May → | ||
| 12–12 | -0.08 | 18% | 9 May → | ||
| 13–4 | 0.02 | 14% | 9 May → | ||
| 13–8 | 0.07 | 16% | 9 May → | ||
| 15–15 | 0.02 | 7% | 9 May → | ||
| 8–13 | -0.05 | 12% | 9 May → | ||
| 13–9 | 0.05 | 17% | 9 May → | ||
| 13–9 | 0.09 | 16% | 9 May → | ||
| 13–2 | 0.03 | 14% | 7 May → | ||
| 13–7 | -0.01 | 21% | 7 May → | ||
| 13–7 | 0.05 | 14% | 6 May → | ||
| 3–13 | -0.08 | 19% | 5 May → | ||
| 10–13 | -0.05 | 17% | 4 May → | ||
| 10–13 | -0.06 | 20% | 4 May → | ||
| 13–4 | 0.01 | 44% | 4 May → | ||
| 8–13 | -0.04 | 20% | 27 Apr → | ||
| 16–14 | 0.04 | 13% | 27 Apr → | ||
| 13–8 | 0.01 | 27% | 26 Apr → | ||
| 12–12 | -0.03 | 9% | 26 Apr → | ||
| 13–4 | -0.01 | 15% | 26 Apr → |
Match data via Leetify.
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