† itztempo † — CS2 Stats
76561198841816834[U:1:881551106]✓ No bans
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 | vs Level 2 |
|---|---|---|---|
| Headshot rate | 41.6% | 42.1% | meets |
| Shot accuracy | 17.3% | 12.9% | above |
| Kill/death ratio | 0.88 | 1.00 | 0.12 short |
| Match win rate | 43.0% | 42.9% | meets |
This profile matches the typical Level 2 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 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: +0pp win rate · -0.02 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-duel success, opening-fight frequency.
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. 708ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 |
|---|---|---|---|---|---|
| A | 33 | 18–15 | 55% | -0.00 | |
| B | 25 | 13–12 | 52% | 0.01 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| A | 13 | 8–5 | 62% | 0.02 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.05 | |
| — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (43% over 14). 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.
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 12.0666° — above the 12° 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 707.585ms — above the 700ms mark we flag
- 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 0.4438 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–9 | -0.09 | 10% | 9 Aug → | ||
| 9–13 | 0.06 | 33% | 8 Aug → | ||
| 13–8 | -0.02 | 30% | 31 Jul → | ||
| 11–13 | -0.03 | 23% | 17 Jul → | ||
| 13–6 | -0.01 | 8% | 15 Jul → | ||
| 7–13 | -0.03 | 15% | 13 Jul → | ||
| 7–13 | -0.07 | 15% | 10 Jul → | ||
| 13–7 | 0.06 | 25% | 9 Jul → | ||
| 13–5 | 0.02 | 25% | 6 Jul → | ||
| 16–14 | -0.06 | 17% | 2 Jul → | ||
| 13–11 | -0.03 | 15% | 1 Jul → | ||
| 2–13 | 0.03 | 15% | 1 Jul → | ||
| 10–13 | -0.04 | 16% | 30 Jun → | ||
| 11–13 | -0.03 | 26% | 29 Jun → | ||
| 13–11 | 0.18 | 19% | 28 Jun → | ||
| 13–9 | -0.05 | 20% | 23 Jun → | ||
| 6–13 | -0.09 | 19% | 22 Jun → | ||
| 9–13 | 0.07 | 21% | 21 Jun → | ||
| 13–8 | -0.08 | 17% | 20 Jun → | ||
| 13–10 | 0.05 | 10% | 18 Jun → | ||
| 13–9 | 0.00 | 13% | 17 Jun → | ||
| 15–15 | -0.05 | 12% | 15 Jun → | ||
| 8–13 | 0.04 | 16% | 14 Jun → | ||
| 13–9 | 0.00 | 8% | 14 Jun → | ||
| 9–13 | -0.03 | 18% | 13 Jun → | ||
| 13–6 | -0.02 | 12% | 13 Jun → | ||
| 7–13 | 0.00 | 13% | 13 Jun → | ||
| 13–5 | -0.02 | 27% | 12 Jun → | ||
| 13–6 | 0.01 | 14% | 12 Jun → | ||
| 11–13 | 0.01 | 25% | 11 Jun → | ||
| 6–13 | -0.13 | 5% | 9 Jun → | ||
| 13–7 | -0.03 | 28% | 8 Jun → | ||
| 14–16 | -0.01 | 18% | 7 Jun → | ||
| 13–3 | 0.02 | 30% | 4 Jun → | ||
| 4–13 | -0.04 | 28% | 3 Jun → | ||
| 13–4 | 0.04 | 21% | 3 Jun → | ||
| 13–10 | 0.04 | 10% | 1 Jun → | ||
| 13–5 | 0.07 | 14% | 27 May → | ||
| 7–13 | 0.01 | 15% | 26 May → | ||
| 9–13 | 0.04 | 35% | 25 May → | ||
| 6–13 | -0.05 | 33% | 24 May → | ||
| 13–1 | 0.13 | 8% | 24 May → | ||
| 13–10 | 0.01 | 24% | 22 May → | ||
| 13–11 | 0.03 | 17% | 20 May → | ||
| 13–10 | 0.04 | 37% | 19 May → | ||
| 13–5 | 0.09 | 23% | 17 May → | ||
| 5–13 | -0.07 | 18% | 17 May → | ||
| 6–13 | -0.04 | 8% | 17 May → | ||
| 11–13 | -0.01 | 16% | 17 May → | ||
| 8–13 | -0.04 | 19% | 16 May → | ||
| 6–13 | 0.01 | 17% | 16 May → | ||
| 11–13 | -0.01 | 23% | 16 May → | ||
| 13–10 | -0.04 | 21% | 16 May → | ||
| 4–13 | -0.06 | 14% | 16 May → | ||
| 13–10 | 0.04 | 16% | 9 May → | ||
| 16–12 | -0.03 | 11% | 29 Apr → | ||
| 9–13 | 0.01 | 24% | 23 Apr → | ||
| 13–10 | 0.02 | 7% | 22 Apr → | ||
| 3–13 | -0.06 | 6% | 22 Apr → | ||
| 16–14 | -0.03 | 22% | 21 Apr → | ||
| 11–13 | -0.01 | 18% | 19 Apr → | ||
| 13–9 | 0.01 | 22% | 16 Apr → | ||
| 13–8 | 0.08 | 16% | 15 Apr → | ||
| 8–13 | -0.04 | 19% | 14 Apr → | ||
| 13–10 | -0.06 | 10% | 13 Apr → | ||
| 13–9 | 0.05 | 29% | 13 Apr → | ||
| 13–9 | 0.13 | 14% | 12 Apr → | ||
| 11–13 | 0.05 | 24% | 12 Apr → | ||
| 4–13 | -0.03 | 25% | 9 Apr → | ||
| 9–13 | 0.03 | 23% | 9 Apr → | ||
| 9–13 | -0.01 | 17% | 8 Apr → | ||
| 16–14 | 0.04 | 27% | 7 Apr → | ||
| 10–13 | -0.03 | 9% | 29 Mar → | ||
| 14–16 | -0.00 | 18% | 23 Mar → | ||
| 13–11 | 0.06 | 17% | 19 Mar → | ||
| 13–10 | 0.03 | 11% | 19 Mar → | ||
| 8–13 | -0.02 | 24% | 18 Mar → | ||
| 13–11 | -0.10 | 11% | 17 Mar → | ||
| 13–10 | 0.01 | 19% | 16 Mar → | ||
| 13–8 | 0.06 | 31% | 12 Mar → | ||
| 14–16 | 0.03 | 24% | 12 Mar → | ||
| 13–5 | -0.03 | 20% | 11 Mar → | ||
| 6–13 | 0.00 | 18% | 9 Mar → | ||
| 13–7 | 0.06 | 22% | 8 Mar → | ||
| 5–13 | 0.02 | 18% | 8 Mar → | ||
| 11–13 | -0.03 | 19% | 8 Mar → | ||
| 13–10 | 0.00 | 45% | 8 Mar → | ||
| 13–7 | 0.04 | 20% | 8 Mar → | ||
| 13–8 | 0.02 | 29% | 8 Mar → | ||
| 16–14 | 0.05 | 23% | 5 Mar → | ||
| 1–13 | -0.05 | 14% | 5 Mar → | ||
| 13–11 | -0.01 | 29% | 4 Mar → | ||
| 13–11 | 0.02 | 19% | 4 Mar → | ||
| 2–13 | -0.02 | 21% | 3 Mar → | ||
| 13–3 | 0.08 | 22% | 2 Mar → | ||
| 9–13 | -0.05 | 7% | 2 Mar → | ||
| 6–13 | 0.00 | 29% | 1 Mar → | ||
| 13–7 | 0.01 | 21% | 1 Mar → | ||
| 11–13 | 0.01 | 15% | 1 Mar → | ||
| 10–13 | -0.04 | 7% | 28 Feb → |
Match data via Leetify.