John Noba — CS2 Stats
76561198168976264[U:1:208710536]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 42.4% | 42.1% | 42.1% | meets |
| Shot accuracy | 14.1% | 12.9% | 12.1% | above |
| Kill/death ratio | 0.84 | 1.00 | 0.99 | 0.15 short |
| Match win rate | 40.4% | 42.9% | 43.9% | 3.5% short |
This profile matches the typical Level 3 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.08 avg rating
Player DNA
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 73% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
Reaction time. 676ms 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 2.9/10 (Learning), 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 |
|---|---|---|---|---|---|
 mirage | D | 29 | 10–19 | 34% | -0.02 |
 inferno | D | 21 | 6–15 | 29% | -0.02 |
 dust2 | C | 11 | 4–7 | 36% | -0.02 |
 overpass | A | 10 | 6–4 | 60% | -0.02 |
 train | A | 9 | 5–4 | 56% | -0.01 |
 ancient | — | 4 | 1–3 | 25% | 0.00 |
| poseidon | — | 4 | 1–3 | 25% | -0.07 |
 vertigo | — | 3 | 3–0 | 100% | -0.04 |
 cache | — | 2 | 0–2 | 0% | -0.01 |
 nuke | — | 2 | 0–2 | 0% | -0.08 |
 anubis | — | 1 | 1–0 | 100% | -0.01 |
| sanctum | — | 1 | 0–1 | 0% | -0.16 |
| alpine | — | 1 | 1–0 | 100% | 0.04 |
| warden | — | 1 | 1–0 | 100% | -0.02 |
| palacio | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno 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 | 3 | 100% | 1.10 | 17.0 |
| Anubis | 1 | 0% | 0.69 | 11.0 |
| Inferno | 1 | 0% | 0.76 | 13.0 |
| Nuke | 1 | 0% | 0.84 | 16.0 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.8606 — below the 4 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 35.0028% — 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.
29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 9–7 | -0.01 | 14% | 6 Jun → | |
| vertigo | 9–2 | -0.00 | 11% | 6 Jun → | |
| cache | 8–13 | 0.00 | 15% | 27 May → | |
| cache | 7–13 | -0.02 | 21% | 4 May → | |
| anubis | 13–0 | -0.01 | 4% | 26 Mar → | |
| mirage | 11–13 | 0.01 | 21% | 26 Mar → | |
| mirage | 1–10 | -0.09 | 0% | 12 Mar → | |
| dust2 | 0–3 | -0.02 | 0% | 12 Mar → | |
| inferno | 6–13 | -0.02 | 18% | 12 Mar → | |
| vertigo | 13–11 | -0.07 | 17% | 11 Mar → | |
| ancient | 13–8 | -0.03 | 14% | 10 Mar → | |
| sanctum | 3–9 | -0.16 | 12% | 9 Mar → | |
| poseidon | 1–9 | -0.19 | 14% | 9 Mar → | |
| nuke | 5–9 | -0.07 | 27% | 9 Mar → | |
| vertigo | 13–5 | -0.03 | 14% | 9 Mar → | |
| inferno | 2–9 | -0.20 | 18% | 9 Mar → | |
| mirage | 3–10 | -0.03 | 22% | 9 Mar → | |
| nuke | 4–9 | -0.09 | 14% | 7 Mar → | |
| poseidon | 5–9 | -0.14 | 3% | 7 Mar → | |
| poseidon | 8–8 | -0.05 | 8% | 7 Mar → | |
| inferno | 9–2 | -0.02 | 36% | 7 Mar → | |
| alpine | 13–9 | 0.04 | 16% | 3 Mar → | |
| warden | 13–11 | -0.02 | 14% | 3 Mar → | |
| poseidon | 9–3 | 0.10 | 11% | 3 Mar → | |
| dust2 | 9–13 | -0.04 | 23% | 1 Mar → | |
| inferno | 4–13 | -0.06 | 0% | 1 Mar → | |
| dust2 | 4–13 | -0.07 | 22% | 27 Feb → | |
| inferno | 13–2 | 0.04 | 25% | 27 Feb → | |
| mirage | 3–13 | 0.03 | 13% | 26 Feb → | |
| mirage | 8–13 | -0.10 | 0% | 26 Feb → | |
| mirage | 10–13 | -0.01 | 17% | 21 Feb → | |
| mirage | 13–6 | 0.08 | 10% | 20 Feb → | |
| train | 2–13 | -0.05 | 19% | 17 Jan → | |
| overpass | 11–13 | -0.01 | 27% | 16 Jan → | |
| mirage | 12–16 | -0.02 | 25% | 6 Jan → | |
| inferno | 9–13 | -0.04 | 11% | 5 Dec → | |
| mirage | 10–13 | -0.02 | 8% | 29 Nov → | |
| mirage | 11–5 | 0.01 | 14% | 29 Nov → | |
| dust2 | 6–13 | -0.08 | 16% | 29 Nov → | |
| train | 16–14 | -0.00 | 16% | 23 Nov → | |
| mirage | 9–13 | -0.04 | 15% | 23 Nov → | |
| overpass | 13–11 | -0.01 | 22% | 22 Nov → | |
| train | 13–6 | 0.01 | 25% | 20 Nov → | |
| mirage | 13–10 | -0.03 | 14% | 14 Nov → | |
| ancient | 7–13 | -0.05 | 13% | 14 Nov → | |
| overpass | 13–7 | -0.01 | 16% | 13 Nov → | |
| overpass | 7–13 | -0.09 | 15% | 11 Nov → | |
| inferno | 10–13 | -0.00 | 24% | 11 Nov → | |
| mirage | 10–13 | -0.03 | 16% | 8 Nov → | |
| mirage | 5–13 | -0.03 | 0% | 8 Nov → | |
| inferno | 13–8 | 0.05 | 14% | 2 Nov → | |
| train | 6–13 | -0.03 | 24% | 21 Oct → | |
| inferno | 6–13 | -0.07 | 23% | 21 Oct → | |
| inferno | 13–4 | 0.04 | 13% | 15 Oct → | |
| train | 13–8 | 0.04 | 24% | 15 Oct → | |
| overpass | 5–13 | 0.02 | 12% | 14 Oct → | |
| mirage | 13–9 | 0.05 | 17% | 14 Oct → | |
| dust2 | 16–14 | 0.02 | 17% | 12 Oct → | |
| palacio | 12–12 | 0.03 | 9% | 7 Oct → | |
| train | 0–13 | 0.01 | 23% | 2 Oct → | |
| dust2 | 13–8 | 0.10 | 12% | 1 Oct → | |
| inferno | 5–13 | -0.01 | 14% | 30 Sept → | |
| inferno | 8–13 | -0.05 | 14% | 30 Sept → | |
| mirage | 7–13 | -0.03 | 21% | 30 Sept → | |
| mirage | 13–7 | -0.05 | 57% | 28 Sept → | |
| overpass | 13–9 | 0.03 | 20% | 28 Sept → | |
| inferno | 11–13 | -0.04 | 22% | 25 Sept → | |
| dust2 | 13–7 | -0.01 | 23% | 25 Sept → | |
| overpass | 13–10 | -0.05 | 26% | 24 Sept → | |
| mirage | 8–13 | -0.08 | 14% | 24 Sept → | |
| mirage | 9–13 | -0.01 | 12% | 18 Sept → | |
| dust2 | 13–6 | -0.03 | 60% | 17 Sept → | |
| inferno | 8–13 | -0.03 | 21% | 15 Sept → | |
| inferno | 2–10 | 0.01 | 11% | 15 Sept → | |
| mirage | 13–7 | 0.04 | 13% | 2 Sept → | |
| inferno | 15–15 | 0.04 | 16% | 30 Aug → | |
| mirage | 16–13 | -0.02 | 18% | 30 Aug → | |
| ancient | 10–13 | 0.05 | 22% | 28 Aug → | |
| train | 13–10 | -0.02 | 13% | 28 Aug → | |
| train | 4–13 | -0.10 | 14% | 10 Aug → | |
| mirage | 10–13 | 0.03 | 23% | 8 Aug → | |
| overpass | 16–14 | 0.04 | 24% | 31 Jul → | |
| mirage | 10–13 | -0.03 | 17% | 31 Jul → | |
| train | 13–8 | 0.01 | 11% | 31 Jul → | |
| inferno | 11–13 | -0.03 | 33% | 30 Jul → | |
| mirage | 9–13 | 0.03 | 16% | 30 Jul → | |
| overpass | 13–6 | -0.03 | 7% | 28 Jul → | |
| mirage | 13–8 | -0.01 | 23% | 28 Jul → | |
| ancient | 11–13 | 0.05 | 13% | 27 Jul → | |
| inferno | 9–13 | -0.03 | 12% | 26 Jul → | |
| dust2 | 11–13 | 0.01 | 37% | 24 Jul → | |
| mirage | 13–9 | 0.01 | 11% | 23 Jul → | |
| inferno | 13–6 | -0.02 | 12% | 23 Jul → | |
| mirage | 8–13 | -0.02 | 15% | 22 Jul → | |
| dust2 | 10–13 | 0.02 | 17% | 22 Jul → | |
| mirage | 2–13 | -0.07 | 6% | 22 Jul → | |
| overpass | 6–13 | -0.07 | 8% | 21 Jul → | |
| dust2 | 5–13 | -0.06 | 14% | 21 Jul → | |
| mirage | 13–11 | -0.07 | 5% | 21 Jul → | |
| inferno | 15–15 | -0.02 | 14% | 21 Jul → |
Match data via Leetify.