Tito Tutuna — CS2 Stats
BG76561199236494186[U:1:1276228458]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 42.2% | 42.5% | 44.2% | 2.0% short |
| Shot accuracy | 11.5% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.87 | 0.99 | 1.04 | 0.17 short |
| Match win rate | 49.2% | 44.2% | 45.3% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 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: -10pp win rate · -0.00 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 59% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 704ms 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 2.8/10 (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 |
|---|---|---|---|---|---|
 cache | A | 18 | 10–8 | 56% | -0.03 |
 mirage | D | 18 | 6–12 | 33% | -0.01 |
 ancient | D | 12 | 4–8 | 33% | -0.02 |
 anubis | C | 9 | 4–5 | 44% | -0.07 |
 inferno | C | 9 | 4–5 | 44% | -0.01 |
 nuke | D | 8 | 1–7 | 13% | -0.03 |
 vertigo | B | 8 | 4–4 | 50% | 0.04 |
 dust2 | — | 4 | 1–3 | 25% | -0.05 |
 overpass | — | 3 | 2–1 | 67% | -0.03 |
 train | — | 3 | 2–1 | 67% | -0.04 |
| warden | — | 2 | 0–2 | 0% | -0.00 |
| grail | — | 2 | 2–0 | 100% | -0.03 |
| jura | — | 2 | 2–0 | 100% | 0.05 |
| alpine | — | 1 | 0–1 | 0% | -0.09 |
| agency | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 43% | 0.64 | 10.1 |
| Ancient | 4 | 50% | 0.74 | 10.5 |
| Vertigo | 3 | 67% | 0.80 | 12.7 |
| Anubis | 2 | 100% | 0.62 | 10.0 |
| Dust2 | 1 | 100% | 0.64 | 9.0 |
| Cache | 1 | 0% | 0.50 | 10.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.913° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.668% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 704.0847ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 11–13 | -0.08 | 12% | 11 Jul → | |
| anubis | 15–15 | -0.09 | 8% | 9 Jul → | |
| ancient | 15–15 | -0.05 | 9% | 5 Jul → | |
| anubis | 11–13 | -0.02 | 17% | 24 Jun → | |
| anubis | 13–6 | -0.08 | 12% | 24 Jun → | |
| anubis | 4–13 | -0.12 | 13% | 24 Jun → | |
| anubis | 13–8 | -0.07 | 25% | 19 Jun → | |
| ancient | 6–13 | -0.01 | 14% | 19 Jun → | |
| cache | 13–8 | -0.08 | 10% | 18 Jun → | |
| cache | 13–4 | -0.01 | 21% | 18 Jun → | |
| ancient | 5–13 | -0.09 | 29% | 9 Jun → | |
| vertigo | 7–13 | -0.08 | 30% | 8 Jun → | |
| cache | 13–4 | -0.05 | 33% | 8 Jun → | |
| cache | 13–10 | -0.01 | 20% | 8 Jun → | |
| cache | 13–4 | -0.05 | 4% | 8 Jun → | |
| anubis | 7–13 | -0.11 | 8% | 5 Jun → | |
| dust2 | 13–5 | -0.03 | 17% | 2 Jun → | |
| anubis | 13–9 | -0.06 | 10% | 2 Jun → | |
| mirage | 6–13 | -0.05 | 18% | 2 Jun → | |
| nuke | 11–13 | -0.03 | 9% | 28 May → | |
| ancient | 1–13 | -0.01 | 13% | 28 May → | |
| overpass | 13–4 | -0.05 | 20% | 27 May → | |
| dust2 | 11–13 | -0.11 | 10% | 27 May → | |
| nuke | 5–13 | -0.06 | 14% | 27 May → | |
| cache | 9–13 | -0.02 | 9% | 21 May → | |
| anubis | 13–5 | -0.07 | 8% | 20 May → | |
| mirage | 12–12 | -0.04 | 4% | 20 May → | |
| cache | 6–13 | -0.01 | 3% | 20 May → | |
| cache | 7–13 | -0.06 | 13% | 20 May → | |
| cache | 5–13 | -0.06 | 11% | 18 May → | |
| train | 12–12 | -0.11 | 14% | 18 May → | |
| vertigo | 13–10 | -0.06 | 16% | 17 May → | |
| cache | 13–6 | 0.01 | 19% | 17 May → | |
| nuke | 6–9 | -0.13 | 0% | 16 May → | |
| nuke | 9–0 | 0.18 | 16% | 16 May → | |
| inferno | 5–9 | -0.16 | 18% | 16 May → | |
| cache | 13–11 | -0.05 | 11% | 12 May → | |
| cache | 12–12 | 0.04 | 19% | 12 May → | |
| cache | 13–8 | -0.04 | 27% | 11 May → | |
| vertigo | 9–13 | -0.07 | 16% | 11 May → | |
| mirage | 1–11 | -0.07 | 27% | 10 May → | |
| alpine | 9–13 | -0.09 | 12% | 10 May → | |
| warden | 4–13 | -0.09 | 26% | 10 May → | |
| anubis | 10–13 | -0.06 | 17% | 10 May → | |
| vertigo | 13–11 | -0.03 | 32% | 9 May → | |
| cache | 13–5 | -0.01 | 42% | 9 May → | |
| ancient | 1–13 | -0.07 | 25% | 9 May → | |
| cache | 10–13 | -0.04 | 11% | 3 May → | |
| cache | 13–9 | -0.03 | 21% | 3 May → | |
| cache | 12–12 | 0.02 | 17% | 3 May → | |
| train | 13–8 | -0.07 | 9% | 1 May → | |
| cache | 11–13 | -0.02 | 17% | 1 May → | |
| mirage | 13–10 | 0.05 | 15% | 19 Apr → | |
| vertigo | 9–1 | 0.17 | 31% | 18 Apr → | |
| vertigo | 9–2 | 0.26 | 32% | 18 Apr → | |
| inferno | 9–6 | 0.00 | 11% | 18 Apr → | |
| inferno | 8–8 | 0.00 | 16% | 18 Apr → | |
| ancient | 5–13 | -0.06 | 26% | 22 Mar → | |
| mirage | 5–13 | -0.07 | 14% | 12 Mar → | |
| warden | 7–13 | 0.09 | 35% | 27 Jan → | |
| ancient | 13–3 | 0.15 | 20% | 27 Jan → | |
| mirage | 9–13 | 0.02 | 19% | 24 Jan → | |
| mirage | 5–13 | -0.03 | 35% | 18 Jan → | |
| mirage | 6–1 | 0.01 | 18% | 17 Jan → | |
| mirage | 10–12 | -0.08 | 11% | 17 Jan → | |
| overpass | 11–13 | 0.01 | 24% | 17 Jan → | |
| dust2 | 9–13 | -0.03 | 31% | 16 Jan → | |
| ancient | 13–5 | -0.00 | 27% | 16 Jan → | |
| mirage | 13–9 | 0.04 | 28% | 16 Jan → | |
| mirage | 12–16 | -0.02 | 22% | 16 Jan → | |
| vertigo | 8–8 | 0.04 | 31% | 4 Jan → | |
| vertigo | 8–8 | 0.06 | 12% | 4 Jan → | |
| ancient | 11–13 | -0.06 | 15% | 3 Jan → | |
| nuke | 3–13 | -0.12 | 20% | 3 Jan → | |
| inferno | 7–13 | -0.06 | 23% | 17 Dec → | |
| mirage | 7–13 | -0.04 | 20% | 23 Nov → | |
| mirage | 5–13 | -0.01 | 31% | 23 Nov → | |
| mirage | 13–11 | 0.02 | 15% | 23 Nov → | |
| ancient | 13–9 | 0.02 | 23% | 23 Nov → | |
| ancient | 7–13 | -0.08 | 5% | 25 Oct → | |
| grail | 13–11 | -0.02 | 19% | 17 Sept → | |
| jura | 13–10 | -0.05 | 12% | 17 Sept → | |
| inferno | 13–4 | 0.07 | 23% | 13 Sept → | |
| mirage | 13–2 | 0.13 | 36% | 13 Sept → | |
| train | 13–6 | 0.06 | 21% | 13 Sept → | |
| mirage | 5–13 | -0.00 | 16% | 10 Sept → | |
| dust2 | 6–13 | -0.05 | 13% | 10 Sept → | |
| mirage | 13–5 | 0.01 | 0% | 6 Sept → | |
| overpass | 13–5 | -0.03 | 12% | 4 Sept → | |
| nuke | 12–12 | -0.06 | 3% | 4 Sept → | |
| grail | 13–11 | -0.04 | 3% | 19 Aug → | |
| inferno | 4–13 | -0.14 | 12% | 19 Aug → | |
| ancient | 13–2 | 0.03 | 8% | 19 Aug → | |
| agency | 11–13 | 0.01 | 15% | 6 Jun → | |
| jura | 13–0 | 0.16 | 20% | 6 Jun → | |
| inferno | 8–13 | -0.01 | 25% | 2 May → | |
| mirage | 11–13 | 0.02 | 18% | 2 May → | |
| inferno | 13–4 | 0.10 | 17% | 2 May → | |
| nuke | 8–8 | 0.09 | 20% | 1 May → | |
| inferno | 5–1 | 0.09 | 18% | 1 May → |
Match data via Leetify.