Juaxo — CS2 Stats
76561198343873859[U:1:383608131]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 31.1% | 40.1% | 9.0% short |
| Shot accuracy | 17.5% | 7.6% | above |
| Kill/death ratio | 0.86 | 0.92 | 0.06 short |
| Match win rate | 29.9% | 42.2% | 12.2% short |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Light Blue band 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 · +0.02 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 Twistzz 78% playstyle similarity
Most alike: opening-fight frequency, 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
T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 789ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% 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 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | |
| B | 30 | 16–14 | 53% | 0.01 | |
| C | 13 | 5–8 | 38% | -0.00 | |
| D | 11 | 3–8 | 27% | -0.00 | |
| S | 5 | 4–1 | 80% | 0.07 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| — | 2 | 2–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (27% over 11). 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.
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 12.5292° — 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 13.0091% — 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 788.7129ms — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.05 | 13% | 22 Aug → | ||
| 6–13 | -0.02 | 15% | 22 Aug → | ||
| 13–8 | 0.01 | 16% | 22 Aug → | ||
| 13–3 | -0.05 | 11% | 22 Aug → | ||
| 13–16 | 0.03 | 8% | 22 Aug → | ||
| 6–13 | 0.03 | 8% | 17 Aug → | ||
| 13–5 | -0.00 | 7% | 17 Aug → | ||
| 10–13 | 0.03 | 18% | 17 Aug → | ||
| 13–7 | 0.05 | 18% | 17 Aug → | ||
| 13–10 | 0.01 | 15% | 16 Aug → | ||
| 13–10 | 0.06 | 22% | 30 Jul → | ||
| 13–9 | -0.01 | 21% | 30 Jul → | ||
| 7–13 | 0.00 | 0% | 29 Jul → | ||
| 3–13 | -0.09 | 14% | 26 Jul → | ||
| 1–10 | -0.03 | 8% | 26 Jul → | ||
| 15–15 | 0.01 | 11% | 26 Jul → | ||
| 9–13 | 0.04 | 9% | 26 Jul → | ||
| 4–13 | -0.07 | 16% | 26 Jul → | ||
| 13–4 | 0.08 | 4% | 25 Jul → | ||
| 13–5 | -0.07 | 12% | 25 Jul → | ||
| 10–3 | 0.07 | 8% | 25 Jul → | ||
| 13–11 | -0.01 | 9% | 25 Jul → | ||
| 13–5 | 0.12 | 24% | 25 Jul → | ||
| 11–13 | 0.10 | 11% | 25 Jul → | ||
| 6–13 | -0.08 | 17% | 24 Jul → | ||
| 11–13 | -0.04 | 23% | 23 Jul → | ||
| 13–7 | 0.01 | 4% | 23 Jul → | ||
| 16–14 | 0.04 | 17% | 23 Jul → | ||
| 13–10 | 0.02 | 7% | 23 Jul → | ||
| 13–11 | 0.11 | 6% | 22 Jul → | ||
| 13–2 | 0.07 | 9% | 22 Jul → | ||
| 8–13 | 0.20 | 10% | 21 Jul → | ||
| 13–8 | -0.04 | 20% | 21 Jul → | ||
| 13–9 | 0.05 | 12% | 21 Jul → | ||
| 11–13 | -0.01 | 11% | 21 Jul → | ||
| 9–13 | -0.03 | 5% | 20 Jul → | ||
| 15–15 | -0.02 | 16% | 20 Jul → | ||
| 8–13 | -0.04 | 7% | 19 Jul → | ||
| 3–13 | 0.01 | 17% | 19 Jul → | ||
| 10–13 | 0.02 | 20% | 19 Jul → | ||
| 13–9 | 0.04 | 11% | 19 Jul → | ||
| 13–2 | 0.08 | 19% | 19 Jul → | ||
| 13–9 | 0.05 | 5% | 19 Jul → | ||
| 11–13 | 0.11 | 6% | 19 Jul → | ||
| 9–13 | 0.01 | 12% | 19 Jul → | ||
| 13–11 | 0.08 | 9% | 19 Jul → | ||
| 9–13 | -0.01 | 12% | 7 Jul → | ||
| 13–8 | 0.00 | 18% | 7 Jul → | ||
| 3–13 | -0.07 | 8% | 7 Jul → | ||
| 9–13 | -0.01 | 11% | 28 Jun → | ||
| 6–13 | -0.07 | 4% | 28 Jun → | ||
| 9–13 | 0.01 | 5% | 28 Jun → | ||
| 13–8 | 0.01 | 18% | 28 Jun → | ||
| 6–13 | -0.05 | 16% | 28 Jun → | ||
| 5–13 | 0.09 | 7% | 28 Jun → | ||
| 13–11 | 0.03 | 8% | 27 Jun → | ||
| 8–13 | 0.01 | 7% | 27 Jun → | ||
| 15–15 | 0.03 | 12% | 27 Jun → | ||
| 5–13 | -0.09 | 23% | 27 Jun → | ||
| 13–7 | 0.06 | 8% | 27 Jun → | ||
| 16–13 | 0.01 | 29% | 27 Jun → | ||
| 13–10 | 0.01 | 17% | 27 Jun → | ||
| 13–9 | -0.01 | 9% | 26 Jun → | ||
| 15–15 | 0.01 | 7% | 26 Jun → | ||
| 16–14 | 0.05 | 6% | 10 Jun → | ||
| 13–6 | 0.00 | 9% | 10 Jun → | ||
| 13–6 | 0.11 | 19% | 10 Jun → | ||
| 9–13 | -0.04 | 30% | 10 Jun → | ||
| 13–16 | 0.04 | 23% | 10 Jun → | ||
| 5–13 | -0.05 | 10% | 10 Jun → | ||
| 8–13 | -0.09 | 16% | 10 Jun → | ||
| 8–13 | 0.00 | 25% | 10 Jun → | ||
| 9–13 | 0.00 | 22% | 10 Jun → | ||
| 9–13 | -0.04 | 5% | 6 Jun → | ||
| 16–13 | -0.04 | 10% | 6 Jun → | ||
| 6–13 | -0.07 | 5% | 6 Jun → | ||
| 13–10 | 0.00 | 17% | 6 Jun → | ||
| 13–10 | 0.03 | 9% | 6 Jun → | ||
| 4–13 | 0.09 | 10% | 6 Jun → | ||
| 6–13 | -0.02 | 8% | 5 Jun → | ||
| 13–2 | 0.11 | 13% | 5 Jun → | ||
| 13–7 | 0.12 | 22% | 5 Jun → | ||
| 13–16 | -0.05 | 19% | 5 Jun → | ||
| 13–5 | 0.15 | 15% | 5 Jun → | ||
| 13–11 | 0.01 | 15% | 5 Jun → | ||
| 13–2 | -0.04 | 15% | 5 Jun → | ||
| 13–7 | 0.05 | 26% | 5 Jun → | ||
| 13–3 | -0.03 | 17% | 5 Jun → | ||
| 13–9 | 0.01 | 23% | 5 Jun → | ||
| 16–12 | 0.07 | 15% | 5 Jun → | ||
| 13–5 | -0.02 | 19% | 4 Jun → | ||
| 13–5 | 0.05 | 23% | 4 Jun → | ||
| 13–4 | -0.04 | 15% | 1 Jun → | ||
| 3–13 | 0.06 | 7% | 1 Jun → | ||
| 9–13 | 0.04 | 24% | 31 May → | ||
| 5–13 | -0.03 | 24% | 30 May → | ||
| 13–8 | 0.09 | 12% | 30 May → | ||
| 13–5 | -0.00 | 6% | 30 May → | ||
| 9–13 | -0.07 | 9% | 30 May → | ||
| 8–13 | 0.01 | 9% | 30 May → |
Match data via Leetify.