Nobita ♡ — CS2 Stats
76561198259807328[U:1:299541600]
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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: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashes
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 84% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower positioning 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 602ms 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 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 33 | 17–16 | 52% | -0.01 | |
| S | 27 | 19–8 | 70% | -0.01 | |
| D | 13 | 4–9 | 31% | -0.01 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 3 | 2–1 | 67% | -0.04 | |
| shelter | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 115 | 56% | 1.04 | 16.4 |
| Dust2 | 64 | 53% | 0.93 | 15.8 |
| Inferno | 44 | 50% | 1.02 | 16.7 |
| Anubis | 28 | 43% | 0.93 | 14.7 |
| Overpass | 16 | 56% | 1.01 | 15.0 |
| Ancient | 7 | 57% | 1.17 | 20.0 |
| Nuke | 6 | 50% | 0.80 | 12.5 |
| Vertigo | 4 | 75% | 1.14 | 18.0 |
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 22.3642% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| shelter | 10–13 | 0.02 | 27% | 28 Aug → | |
| 2–13 | 0.02 | 38% | 27 Aug → | ||
| 13–5 | 0.02 | 28% | 25 Aug → | ||
| 13–10 | -0.02 | 23% | 24 Aug → | ||
| 6–13 | -0.07 | 18% | 23 Aug → | ||
| 13–9 | -0.08 | 5% | 23 Aug → | ||
| 12–12 | -0.00 | 14% | 23 Aug → | ||
| 8–13 | -0.06 | 12% | 8 Aug → | ||
| 5–11 | -0.05 | 10% | 8 Aug → | ||
| 13–3 | -0.03 | 26% | 8 Aug → | ||
| 13–10 | 0.00 | 31% | 6 Aug → | ||
| 11–13 | -0.03 | 24% | 5 Aug → | ||
| 13–7 | -0.01 | 38% | 5 Aug → | ||
| 7–13 | 0.05 | 30% | 4 Aug → | ||
| 10–13 | -0.09 | 14% | 4 Aug → | ||
| 13–0 | 0.06 | 27% | 2 Aug → | ||
| 5–13 | -0.07 | 17% | 2 Aug → | ||
| 13–9 | -0.01 | 20% | 3 Jul → | ||
| 13–11 | -0.02 | 23% | 3 Jul → | ||
| 5–13 | 0.02 | 20% | 29 Jun → | ||
| 11–13 | -0.02 | 19% | 29 Jun → | ||
| 13–6 | 0.06 | 19% | 28 Jun → | ||
| 13–8 | -0.03 | 22% | 28 Jun → | ||
| 13–10 | -0.01 | 19% | 28 Jun → | ||
| 11–13 | -0.00 | 12% | 25 Jun → | ||
| 10–13 | -0.04 | 18% | 24 Jun → | ||
| 11–13 | -0.04 | 11% | 24 Jun → | ||
| 13–4 | 0.02 | 33% | 24 Jun → | ||
| 13–9 | 0.04 | 42% | 23 Jun → | ||
| 13–8 | 0.06 | 18% | 23 Jun → | ||
| 11–13 | -0.01 | 24% | 22 Jun → | ||
| 4–13 | 0.00 | 17% | 18 Jun → | ||
| 13–11 | 0.00 | 19% | 14 Jun → | ||
| 10–13 | -0.02 | 16% | 13 Jun → | ||
| 10–13 | -0.00 | 19% | 13 Jun → | ||
| 8–13 | -0.05 | 3% | 13 Jun → | ||
| 13–6 | 0.06 | 19% | 13 Jun → | ||
| 10–13 | -0.05 | 15% | 11 Jun → | ||
| 13–8 | -0.01 | 24% | 10 Jun → | ||
| 13–1 | -0.02 | 17% | 10 Jun → | ||
| 13–16 | 0.01 | 24% | 10 Jun → | ||
| 6–13 | -0.02 | 18% | 7 Jun → | ||
| 13–11 | 0.03 | 24% | 6 Jun → | ||
| 5–13 | -0.03 | 17% | 6 Jun → | ||
| 13–8 | 0.11 | 26% | 5 Jun → | ||
| 8–13 | -0.11 | 15% | 5 Jun → | ||
| 13–6 | -0.06 | 13% | 5 Jun → | ||
| 16–12 | 0.04 | 11% | 4 Jun → | ||
| 8–13 | -0.01 | 6% | 4 Jun → | ||
| 13–6 | -0.05 | 21% | 4 Jun → | ||
| 13–8 | 0.00 | 17% | 4 Jun → | ||
| 8–13 | -0.01 | 14% | 4 Jun → | ||
| 13–6 | -0.05 | 11% | 3 Jun → | ||
| 16–13 | 0.08 | 25% | 3 Jun → | ||
| 16–13 | -0.04 | 12% | 1 Jun → | ||
| 13–4 | -0.01 | 31% | 1 Jun → | ||
| 10–13 | -0.01 | 18% | 1 Jun → | ||
| 13–5 | 0.03 | 15% | 1 Jun → | ||
| 13–3 | -0.01 | 20% | 30 May → | ||
| 7–13 | -0.02 | 16% | 29 May → | ||
| 13–11 | -0.01 | 20% | 29 May → | ||
| 2–13 | -0.01 | 10% | 29 May → | ||
| 13–5 | -0.00 | 26% | 29 May → | ||
| 5–13 | -0.04 | 15% | 29 May → | ||
| 13–5 | 0.02 | 0% | 28 May → | ||
| 13–9 | -0.03 | 16% | 28 May → | ||
| 13–5 | 0.09 | 33% | 27 May → | ||
| 11–13 | -0.05 | 7% | 27 May → | ||
| 13–7 | 0.00 | 18% | 26 May → | ||
| 13–11 | -0.08 | 18% | 24 May → | ||
| 7–13 | -0.03 | 18% | 23 May → | ||
| 5–13 | -0.07 | 16% | 23 May → | ||
| 9–13 | -0.04 | 22% | 23 May → | ||
| 13–16 | -0.04 | 26% | 22 May → | ||
| 16–12 | -0.05 | 10% | 20 May → | ||
| 16–14 | -0.01 | 9% | 20 May → | ||
| 9–13 | -0.04 | 22% | 19 May → | ||
| 16–12 | -0.01 | 18% | 19 May → | ||
| 13–11 | 0.02 | 25% | 19 May → | ||
| 9–13 | 0.04 | 24% | 19 May → | ||
| 10–13 | 0.02 | 20% | 19 May → | ||
| 5–13 | -0.03 | 22% | 15 May → | ||
| 8–13 | -0.05 | 22% | 13 May → | ||
| 13–5 | -0.05 | 23% | 12 May → | ||
| 13–10 | -0.04 | 22% | 12 May → | ||
| 13–7 | 0.01 | 27% | 12 May → | ||
| 13–10 | -0.05 | 13% | 8 May → | ||
| 11–13 | -0.01 | 30% | 7 May → | ||
| 13–9 | -0.03 | 19% | 7 May → | ||
| 13–8 | -0.04 | 19% | 7 May → | ||
| 13–7 | -0.01 | 21% | 7 May → | ||
| 16–13 | -0.02 | 26% | 7 May → | ||
| 13–9 | 0.01 | 17% | 6 May → | ||
| 5–13 | -0.06 | 14% | 6 May → | ||
| 13–9 | -0.00 | 28% | 5 May → | ||
| 7–13 | -0.07 | 16% | 4 May → | ||
| 9–13 | -0.03 | 7% | 4 May → | ||
| 13–4 | -0.01 | 14% | 3 May → | ||
| 8–13 | -0.03 | 30% | 3 May → | ||
| 16–14 | -0.00 | 17% | 3 May → |
Match data via Leetify.