AlexJones — CS2 Stats
US76561198990164466[U:1:1029898738]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 1 among CSDB-tracked players (n=230), 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 1 median | Level 2 median | vs Level 2 |
|---|---|---|---|---|
| Headshot rate | 47.2% | 41.1% | 41.2% | above |
| Shot accuracy | 9.0% | 14.1% | 12.5% | 3.6% short |
| Kill/death ratio | 1.12 | 0.97 | 0.96 | above |
| Match win rate | 33.7% | 41.9% | 42.8% | 9.1% short |
This profile matches the typical Level 2 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: +20pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingLimited utility dependence
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 ropz 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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
Strengths
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 597ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
 dust2 | B | 30 | 14–16 | 47% | -0.02 |
 inferno | C | 22 | 9–13 | 41% | -0.03 |
 mirage | C | 13 | 5–8 | 38% | -0.00 |
 anubis | A | 9 | 5–4 | 56% | -0.02 |
 ancient | S | 5 | 4–1 | 80% | -0.01 |
 cache | C | 5 | 2–3 | 40% | -0.01 |
 nuke | — | 4 | 2–2 | 50% | -0.01 |
 overpass | — | 4 | 1–3 | 25% | -0.02 |
 train | — | 3 | 2–1 | 67% | 0.02 |
| office | — | 3 | 0–3 | 0% | -0.07 |
 vertigo | — | 2 | 1–1 | 50% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Mirage 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 resultsWLLLL
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.
- 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 14.6856% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 16–13 | -0.02 | 12% | 6 Aug → | |
| dust2 | 6–13 | -0.09 | 5% | 6 Aug → | |
| dust2 | 5–13 | -0.10 | 27% | 23 Jul → | |
| anubis | 10–13 | -0.01 | 19% | 22 Jul → | |
| ancient | 13–6 | -0.02 | 14% | 22 Jul → | |
| dust2 | 13–5 | -0.06 | 9% | 18 Jul → | |
| cache | 12–16 | 0.04 | 13% | 18 Jul → | |
| mirage | 13–7 | 0.00 | 12% | 18 Jul → | |
| inferno | 8–13 | -0.07 | 9% | 18 Jul → | |
| anubis | 7–13 | -0.05 | 18% | 17 Jul → | |
| dust2 | 9–13 | -0.03 | 19% | 16 Jul → | |
| dust2 | 8–13 | -0.04 | 11% | 16 Jul → | |
| cache | 7–13 | -0.01 | 10% | 15 Jul → | |
| nuke | 15–15 | 0.02 | 10% | 13 Jul → | |
| dust2 | 13–4 | 0.07 | 22% | 13 Jul → | |
| dust2 | 13–4 | 0.04 | 13% | 13 Jul → | |
| inferno | 15–15 | -0.04 | 20% | 12 Jul → | |
| inferno | 8–13 | -0.02 | 7% | 12 Jul → | |
| mirage | 10–13 | 0.00 | 11% | 11 Jul → | |
| dust2 | 10–13 | -0.01 | 14% | 11 Jul → | |
| ancient | 13–2 | 0.05 | 13% | 11 Jul → | |
| inferno | 15–15 | -0.01 | 14% | 6 Jul → | |
| dust2 | 15–15 | -0.02 | 19% | 5 Jul → | |
| inferno | 4–13 | -0.05 | 17% | 5 Jul → | |
| mirage | 9–13 | -0.01 | 17% | 5 Jul → | |
| mirage | 13–8 | 0.03 | 19% | 5 Jul → | |
| cache | 13–8 | -0.06 | 13% | 5 Jul → | |
| mirage | 13–5 | 0.08 | 33% | 5 Jul → | |
| overpass | 13–11 | 0.03 | 11% | 5 Jul → | |
| mirage | 4–13 | -0.10 | 13% | 4 Jul → | |
| dust2 | 16–13 | -0.03 | 11% | 4 Jul → | |
| anubis | 13–6 | -0.01 | 12% | 4 Jul → | |
| ancient | 11–13 | 0.01 | 15% | 26 Jun → | |
| inferno | 13–9 | -0.02 | 22% | 26 Jun → | |
| ancient | 13–11 | -0.06 | 15% | 25 Jun → | |
| dust2 | 6–13 | -0.05 | 17% | 25 Jun → | |
| mirage | 10–13 | -0.04 | 29% | 25 Jun → | |
| inferno | 13–11 | -0.03 | 17% | 24 Jun → | |
| overpass | 6–13 | -0.05 | 14% | 24 Jun → | |
| inferno | 15–15 | -0.00 | 13% | 21 Jun → | |
| dust2 | 14–16 | 0.02 | 22% | 21 Jun → | |
| mirage | 9–13 | 0.06 | 22% | 15 Jun → | |
| dust2 | 12–5 | -0.02 | 21% | 14 Jun → | |
| mirage | 13–11 | 0.01 | 13% | 14 Jun → | |
| nuke | 13–9 | 0.00 | 16% | 7 Jun → | |
| dust2 | 13–7 | -0.07 | 15% | 6 Jun → | |
| dust2 | 11–13 | -0.01 | 21% | 29 May → | |
| cache | 13–6 | -0.04 | 7% | 10 May → | |
| cache | 10–13 | 0.00 | 16% | 1 May → | |
| inferno | 13–16 | -0.02 | 13% | 10 Apr → | |
| inferno | 13–16 | -0.09 | 9% | 24 Mar → | |
| inferno | 4–13 | -0.10 | 35% | 16 Mar → | |
| inferno | 7–13 | -0.04 | 9% | 16 Mar → | |
| train | 10–13 | -0.02 | 11% | 16 Mar → | |
| office | 4–13 | -0.09 | 4% | 16 Mar → | |
| overpass | 5–13 | -0.02 | 11% | 15 Mar → | |
| dust2 | 8–13 | 0.01 | 16% | 15 Mar → | |
| dust2 | 8–13 | 0.00 | 21% | 15 Mar → | |
| dust2 | 9–13 | -0.08 | 7% | 15 Mar → | |
| mirage | 15–15 | -0.01 | 15% | 15 Mar → | |
| anubis | 14–16 | -0.06 | 10% | 15 Mar → | |
| overpass | 5–13 | -0.03 | 11% | 12 Mar → | |
| dust2 | 8–3 | -0.04 | 16% | 11 Mar → | |
| dust2 | 13–3 | 0.04 | 15% | 11 Mar → | |
| office | 8–13 | -0.04 | 7% | 9 Mar → | |
| dust2 | 4–13 | -0.06 | 12% | 8 Mar → | |
| anubis | 0–13 | -0.11 | 9% | 8 Mar → | |
| dust2 | 7–13 | -0.04 | 0% | 7 Mar → | |
| mirage | 16–13 | 0.02 | 17% | 7 Mar → | |
| inferno | 13–8 | 0.01 | 12% | 7 Mar → | |
| inferno | 13–10 | 0.01 | 21% | 7 Mar → | |
| dust2 | 6–13 | -0.04 | 12% | 5 Mar → | |
| dust2 | 13–10 | -0.01 | 9% | 5 Mar → | |
| ancient | 13–11 | -0.02 | 26% | 5 Mar → | |
| dust2 | 16–12 | 0.05 | 13% | 4 Mar → | |
| train | 13–9 | 0.05 | 11% | 3 Mar → | |
| train | 13–8 | 0.03 | 5% | 3 Mar → | |
| inferno | 13–8 | -0.02 | 21% | 2 Mar → | |
| dust2 | 13–5 | 0.09 | 16% | 2 Mar → | |
| inferno | 13–11 | -0.03 | 7% | 2 Mar → | |
| anubis | 13–4 | 0.08 | 9% | 1 Mar → | |
| anubis | 13–10 | 0.01 | 18% | 1 Mar → | |
| mirage | 9–13 | -0.09 | 13% | 1 Mar → | |
| inferno | 13–7 | -0.04 | 17% | 28 Feb → | |
| anubis | 12–0 | -0.01 | 5% | 28 Feb → | |
| mirage | 10–13 | 0.03 | 17% | 20 Feb → | |
| dust2 | 13–10 | 0.00 | 21% | 17 Feb → | |
| dust2 | 5–13 | -0.05 | 14% | 17 Feb → | |
| nuke | 7–13 | -0.04 | 8% | 16 Feb → | |
| office | 7–13 | -0.07 | 14% | 13 Feb → | |
| dust2 | 13–10 | -0.04 | 12% | 11 Feb → | |
| vertigo | 13–5 | 0.01 | 25% | 11 Feb → | |
| vertigo | 12–12 | -0.01 | 12% | 11 Feb → | |
| inferno | 15–15 | -0.00 | 14% | 11 Feb → | |
| dust2 | 16–14 | -0.07 | 12% | 11 Feb → | |
| inferno | 8–13 | -0.06 | 12% | 9 Feb → | |
| anubis | 13–4 | -0.05 | 11% | 9 Feb → | |
| nuke | 13–8 | -0.03 | 13% | 9 Feb → | |
| inferno | 16–14 | -0.03 | 14% | 9 Feb → | |
| inferno | 11–13 | -0.05 | 10% | 8 Feb → |
Match data via Leetify.