Ashtonizer — CS2 Stats
76561199009172994[U:1:1048907266]
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 Twistzz 80% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% 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 (×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 |
|---|---|---|---|---|---|
| D | 27 | 9–18 | 33% | 0.00 | |
| D | 18 | 6–12 | 33% | -0.02 | |
| C | 17 | 6–11 | 35% | -0.01 | |
| S | 13 | 9–4 | 69% | 0.02 | |
| A | 11 | 6–5 | 55% | -0.02 | |
| — | 4 | 2–2 | 50% | -0.04 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| office | — | 3 | 2–1 | 67% | 0.04 |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 27). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 31 | 65% | 1.13 | 15.9 |
| Inferno | 18 | 56% | 1.08 | 15.9 |
| Nuke | 11 | 36% | 0.90 | 17.2 |
| Anubis | 10 | 50% | 0.97 | 13.3 |
| Dust2 | 8 | 88% | 2.44 | 16.4 |
| Ancient | 6 | 33% | 1.19 | 15.7 |
| Overpass | 6 | 83% | 1.25 | 13.8 |
| Train | 2 | 50% | 1.16 | 16.5 |
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 12.7262% — below the 15% 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 0.4689 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.1034% — 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.
33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.01 | 6% | 28 Aug → | ||
| 13–11 | -0.01 | 8% | 24 Aug → | ||
| 10–13 | -0.02 | 15% | 13 Aug → | ||
| 7–9 | -0.04 | 9% | 4 Aug → | ||
| 6–9 | -0.00 | 9% | 4 Aug → | ||
| 13–5 | -0.01 | 11% | 4 Aug → | ||
| 11–13 | -0.00 | 11% | 4 Aug → | ||
| 13–1 | 0.06 | 11% | 4 Aug → | ||
| 6–13 | -0.01 | 18% | 4 Aug → | ||
| 4–13 | -0.04 | 18% | 4 Aug → | ||
| 15–15 | 0.02 | 7% | 2 Aug → | ||
| 4–13 | -0.09 | 8% | 2 Aug → | ||
| 10–13 | -0.03 | 14% | 2 Aug → | ||
| 11–13 | 0.03 | 14% | 2 Aug → | ||
| 8–13 | -0.01 | 8% | 2 Aug → | ||
| 13–11 | -0.02 | 8% | 1 Aug → | ||
| 7–13 | 0.01 | 9% | 1 Aug → | ||
| 13–9 | 0.01 | 10% | 31 Jul → | ||
| 5–9 | -0.09 | 8% | 31 Jul → | ||
| 11–13 | -0.03 | 8% | 31 Jul → | ||
| 2–13 | -0.02 | 33% | 27 Jul → | ||
| 9–13 | -0.06 | 39% | 26 Jul → | ||
| 8–13 | -0.02 | 11% | 26 Jul → | ||
| 13–11 | -0.04 | 8% | 24 Jul → | ||
| 9–7 | 0.08 | 15% | 23 Jul → | ||
| 7–9 | -0.07 | 3% | 23 Jul → | ||
| 9–3 | 0.06 | 3% | 23 Jul → | ||
| 15–15 | -0.06 | 16% | 16 Jul → | ||
| 15–15 | 0.00 | 15% | 16 Jul → | ||
| 13–6 | 0.05 | 19% | 16 Jul → | ||
| 13–7 | 0.00 | 8% | 16 Jul → | ||
| 7–13 | 0.04 | 11% | 15 Jul → | ||
| 6–13 | 0.02 | 24% | 15 Jul → | ||
| 13–7 | -0.00 | 8% | 14 Jul → | ||
| 8–13 | 0.01 | 7% | 13 Jul → | ||
| 11–13 | 0.03 | 10% | 13 Jul → | ||
| 13–6 | 0.07 | 16% | 12 Jul → | ||
| 15–15 | 0.02 | 11% | 12 Jul → | ||
| 13–8 | 0.02 | 13% | 12 Jul → | ||
| 13–10 | 0.06 | 29% | 12 Jul → | ||
| 11–13 | -0.05 | 9% | 12 Jul → | ||
| 13–4 | 0.09 | 19% | 12 Jul → | ||
| 16–14 | -0.00 | 11% | 11 Jul → | ||
| 8–13 | -0.02 | 7% | 11 Jul → | ||
| 16–13 | 0.05 | 9% | 10 Jul → | ||
| 0–10 | -0.05 | 4% | 9 Jul → | ||
| 6–13 | -0.02 | 8% | 9 Jul → | ||
| 13–8 | 0.07 | 3% | 9 Jul → | ||
| 13–10 | 0.06 | 15% | 24 Jun → | ||
| 15–15 | 0.02 | 14% | 24 Jun → | ||
| 11–13 | -0.05 | 17% | 24 Jun → | ||
| 13–3 | 0.02 | 14% | 22 Jun → | ||
| 13–11 | 0.06 | 16% | 22 Jun → | ||
| 13–9 | -0.05 | 16% | 22 Jun → | ||
| 8–13 | -0.03 | 5% | 22 Jun → | ||
| 13–9 | 0.05 | 5% | 21 Jun → | ||
| 13–10 | -0.03 | 9% | 6 Jun → | ||
| 5–13 | 0.05 | 25% | 6 Jun → | ||
| 6–13 | -0.05 | 32% | 1 Jun → | ||
| 6–13 | 0.05 | 7% | 31 May → | ||
| 13–9 | 0.00 | 19% | 31 May → | ||
| 8–13 | -0.02 | 7% | 31 May → | ||
| 7–13 | -0.02 | 8% | 31 May → | ||
| 13–8 | -0.07 | 18% | 30 May → | ||
| 4–13 | -0.03 | 13% | 30 May → | ||
| 13–8 | -0.03 | 17% | 30 May → | ||
| 6–13 | -0.01 | 9% | 8 May → | ||
| 5–13 | -0.08 | 0% | 8 May → | ||
| 2–13 | -0.07 | 9% | 5 May → | ||
| 15–15 | 0.03 | 22% | 5 May → | ||
| 2–10 | -0.01 | 0% | 5 May → | ||
| 6–13 | -0.10 | 14% | 4 May → | ||
| 16–13 | -0.00 | 9% | 4 May → | ||
| 13–7 | 0.00 | 13% | 4 May → | ||
| 4–13 | -0.05 | 13% | 4 May → | ||
| 6–13 | -0.09 | 24% | 1 May → | ||
| 13–8 | 0.08 | 16% | 1 May → | ||
| 2–13 | -0.08 | 13% | 30 Apr → | ||
| 13–2 | 0.06 | 19% | 30 Apr → | ||
| 13–3 | -0.01 | 4% | 30 Apr → | ||
| 13–11 | 0.02 | 15% | 29 Apr → | ||
| 16–14 | -0.04 | 10% | 25 Apr → | ||
| office | 13–11 | 0.09 | 26% | 6 Mar → | |
| 8–13 | -0.03 | 16% | 4 Feb → | ||
| 10–13 | 0.01 | 10% | 21 Jan → | ||
| office | 3–13 | 0.01 | 10% | 6 Jan → | |
| 13–11 | 0.08 | 22% | 4 Jan → | ||
| office | 13–11 | 0.02 | 22% | 25 Dec → | |
| 13–3 | 0.11 | 11% | 1 Dec → | ||
| 1–10 | -0.06 | 0% | 13 Nov → | ||
| 5–13 | -0.01 | 20% | 9 Nov → | ||
| 16–13 | 0.02 | 20% | 9 Nov → | ||
| 13–9 | -0.05 | 14% | 9 Nov → | ||
| 13–5 | 0.07 | 27% | 9 Nov → | ||
| 13–11 | 0.07 | 15% | 6 Nov → | ||
| 11–13 | 0.00 | 16% | 6 Nov → | ||
| 12–16 | -0.01 | 18% | 3 Nov → | ||
| 16–12 | 0.04 | 18% | 2 Nov → | ||
| 6–13 | -0.03 | 8% | 29 Oct → | ||
| 8–13 | -0.08 | 17% | 25 Oct → |
Match data via Leetify.