aliStair — CS2 Stats
PRO“Aa”THUNDER dOWNUNDERAustraliaAWPerSettings & gear profile →
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Rating over time
Faceit ELO
- At peak — 3,825
- Next: 4,000 ELO at 4,000 — 175 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 26,720
- Next: Gold band at 30,000 — 3,280 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution
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 s1mple 96% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Utility. Utility score of 78 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 68% on CT to 51% on T — the same duels are being taken with worse setups on the attacking side.
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 8.7/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 29 | 20–9 | 69% | 0.06 | |
| S | 19 | 14–5 | 74% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.03 | |
| S | 11 | 8–3 | 73% | 0.04 | |
| S | 11 | 10–1 | 91% | 0.06 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (60% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 556 | 60% | 1.58 | 21.3 |
| Dust2 | 345 | 63% | 1.63 | 21.2 |
| Anubis | 314 | 60% | 1.49 | 20.3 |
| Ancient | 310 | 58% | 1.58 | 20.4 |
| Inferno | 144 | 64% | 1.54 | 19.0 |
| Nuke | 141 | 70% | 1.61 | 19.6 |
| Vertigo | 59 | 58% | 1.41 | 17.5 |
| Overpass | 38 | 58% | 1.42 | 19.4 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.03 | 40% | 26 Aug → | ||
| 10–13 | 0.02 | 19% | 19 Aug → | ||
| 13–8 | 0.04 | 22% | 18 Aug → | ||
| 13–10 | 0.02 | 20% | 18 Aug → | ||
| 13–9 | 0.06 | 41% | 12 Aug → | ||
| 16–13 | 0.02 | 32% | 12 Aug → | ||
| 13–16 | 0.06 | 24% | 11 Aug → | ||
| 5–13 | 0.01 | 33% | 10 Aug → | ||
| 13–5 | 0.08 | 34% | 10 Aug → | ||
| 4–13 | -0.01 | 13% | 9 Aug → | ||
| 13–3 | 0.08 | 15% | 7 Aug → | ||
| 13–10 | 0.02 | 30% | 7 Aug → | ||
| 9–13 | 0.04 | 29% | 7 Aug → | ||
| 13–6 | 0.03 | 56% | 6 Aug → | ||
| 13–0 | 0.18 | 24% | 4 Aug → | ||
| 13–1 | 0.04 | 21% | 29 Jul → | ||
| 13–11 | 0.06 | 26% | 29 Jul → | ||
| 13–3 | 0.05 | 26% | 28 Jul → | ||
| 13–4 | 0.07 | 30% | 28 Jul → | ||
| 9–13 | 0.05 | 26% | 27 Jul → | ||
| 5–13 | -0.05 | 16% | 27 Jul → | ||
| 13–11 | 0.01 | 21% | 26 Jul → | ||
| 13–10 | 0.06 | 29% | 26 Jul → | ||
| 13–6 | 0.10 | 50% | 24 Jul → | ||
| 13–9 | 0.02 | 26% | 23 Jul → | ||
| 13–11 | 0.05 | 26% | 22 Jul → | ||
| 16–14 | 0.03 | 20% | 22 Jul → | ||
| 13–4 | 0.03 | 20% | 17 Jul → | ||
| 13–0 | 0.09 | 21% | 17 Jul → | ||
| 13–5 | 0.04 | 35% | 17 Jul → | ||
| 13–8 | 0.00 | 6% | 13 Jul → | ||
| 13–11 | 0.10 | 33% | 13 Jul → | ||
| 13–11 | 0.02 | 44% | 11 Jul → | ||
| 13–7 | 0.02 | 20% | 11 Jul → | ||
| 13–9 | 0.05 | 34% | 11 Jul → | ||
| 13–0 | 0.16 | 27% | 11 Jul → | ||
| 13–5 | 0.06 | 18% | 11 Jul → | ||
| 19–17 | 0.09 | 26% | 10 Jul → | ||
| 13–16 | 0.01 | 22% | 10 Jul → | ||
| 10–13 | 0.01 | 33% | 9 Jul → | ||
| 13–6 | 0.03 | 19% | 5 Jul → | ||
| 7–13 | 0.07 | 21% | 4 Jul → | ||
| 13–4 | 0.06 | 24% | 3 Jul → | ||
| 13–7 | 0.03 | 24% | 3 Jul → | ||
| 13–7 | 0.06 | 15% | 30 Jun → | ||
| 13–9 | 0.06 | 29% | 30 Jun → | ||
| 13–10 | 0.01 | 37% | 25 Jun → | ||
| 3–13 | -0.03 | 35% | 4 Jun → | ||
| 10–13 | 0.08 | 26% | 4 Jun → | ||
| 7–13 | 0.02 | 17% | 3 Jun → | ||
| 11–13 | 0.01 | 25% | 2 Jun → | ||
| 13–6 | -0.06 | 14% | 2 Jun → | ||
| 3–13 | -0.02 | 32% | 29 May → | ||
| 9–13 | 0.05 | 29% | 29 May → | ||
| 10–13 | -0.04 | 20% | 27 May → | ||
| 12–16 | -0.03 | 56% | 27 May → | ||
| 5–13 | -0.05 | 23% | 16 May → | ||
| 10–13 | 0.00 | 32% | 16 May → | ||
| 13–9 | 0.03 | 30% | 16 May → | ||
| 13–5 | -0.01 | 17% | 14 May → | ||
| 16–12 | 0.06 | 35% | 14 May → | ||
| 13–16 | -0.04 | 32% | 14 May → | ||
| 13–6 | 0.02 | 24% | 13 May → | ||
| 13–5 | 0.04 | 33% | 13 May → | ||
| 17–19 | -0.01 | 16% | 13 May → | ||
| 13–4 | 0.12 | 18% | 13 May → | ||
| 16–13 | 0.05 | 12% | 13 May → | ||
| 13–8 | 0.08 | 30% | 12 May → | ||
| 13–7 | 0.06 | 20% | 12 May → | ||
| 10–13 | 0.01 | 25% | 11 May → | ||
| 10–13 | -0.01 | 8% | 11 May → | ||
| 16–12 | 0.04 | 26% | 7 May → | ||
| 13–5 | 0.02 | 16% | 3 May → | ||
| 13–7 | 0.03 | 35% | 3 May → | ||
| 13–7 | 0.10 | 29% | 2 May → | ||
| 13–2 | 0.08 | 23% | 1 May → | ||
| 13–5 | 0.05 | 25% | 1 May → | ||
| 13–7 | 0.01 | 22% | 29 Apr → | ||
| 13–10 | 0.02 | 11% | 29 Apr → | ||
| 11–13 | 0.04 | 13% | 29 Apr → | ||
| 13–9 | 0.04 | 55% | 27 Apr → | ||
| 13–4 | 0.13 | 29% | 27 Apr → | ||
| 13–5 | 0.16 | 32% | 27 Apr → | ||
| 13–3 | 0.03 | 25% | 27 Apr → | ||
| 13–16 | 0.00 | 26% | 24 Apr → | ||
| 13–10 | 0.08 | 36% | 24 Apr → | ||
| 19–17 | 0.09 | 21% | 24 Apr → | ||
| 16–13 | 0.03 | 27% | 24 Apr → | ||
| 9–13 | 0.01 | 29% | 23 Apr → | ||
| 13–6 | 0.05 | 25% | 21 Apr → | ||
| 13–6 | 0.14 | 40% | 21 Apr → | ||
| 13–9 | 0.02 | 35% | 20 Apr → | ||
| 13–1 | 0.27 | 37% | 20 Apr → | ||
| 4–13 | -0.00 | 19% | 14 Apr → | ||
| 11–13 | 0.11 | 28% | 14 Apr → | ||
| 4–13 | -0.01 | 11% | 12 Apr → | ||
| 13–7 | 0.13 | 31% | 10 Apr → | ||
| 13–4 | 0.03 | 19% | 10 Apr → | ||
| 13–7 | 0.11 | 22% | 10 Apr → | ||
| 11–13 | 0.02 | 27% | 6 Apr → |
Match data via Leetify.