ALF — CS2 Stats
AU76561198052498263[U:1:92232535]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.
Rating over time
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +13.1pp headshot accuracy · +113ms reaction
Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 4–1 · 80% win rate
- Avg rating 0.05
- Avg headshot accuracy 27%
- Avg reaction 627ms
Last 10
- 8–2 · 80% win rate
- Avg rating 0.02
- Avg headshot accuracy 33%
- Avg reaction 664ms
Last 20
- 11–6–3 · 55% win rate
- Avg rating -0.00
- Avg headshot accuracy 27%
- Avg reaction 608ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).
Sharp aimerStrong CT-side openerLimited 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.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like ropz 84% playstyle similarity
Most alike: opening-duel success, aim profile.
Where you differ: 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 59% on CT to 39% 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 6.3/10 (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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 nuke | B | 37 | 17–20 | 46% | -0.02 |
| office | C | 27 | 12–15 | 44% | -0.03 |
 dust2 | C | 25 | 10–15 | 40% | -0.02 |
 cache | S | 6 | 4–2 | 67% | -0.01 |
 anubis | — | 3 | 2–1 | 67% | -0.04 |
 mirage | — | 1 | 0–1 | 0% | 0.00 |
 inferno | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
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.
- 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 0.233 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.6712% — 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.
40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–11 | 0.08 | 10% | 10 Oct → | |
| dust2 | 13–3 | 0.02 | 40% | 10 Oct → | |
| office | 13–5 | 0.08 | 29% | 10 Oct → | |
| nuke | 13–3 | 0.03 | 50% | 9 Oct → | |
| nuke | 9–13 | 0.01 | 8% | 9 Oct → | |
| dust2 | 13–8 | -0.02 | 17% | 4 Oct → | |
| office | 13–7 | 0.02 | 100% | 4 Oct → | |
| office | 10–13 | -0.05 | 50% | 4 Oct → | |
| dust2 | 13–4 | -0.09 | 20% | 4 Oct → | |
| dust2 | 13–3 | 0.07 | 10% | 4 Oct → | |
| dust2 | 3–13 | -0.07 | 56% | 4 Oct → | |
| nuke | 12–12 | -0.09 | 20% | 4 Oct → | |
| nuke | 13–11 | -0.01 | 0% | 2 Oct → | |
| office | 10–13 | -0.04 | 0% | 2 Oct → | |
| mirage | 3–7 | 0.00 | 0% | 2 Oct → | |
| dust2 | 10–13 | -0.02 | 50% | 2 Oct → | |
| nuke | 12–12 | 0.09 | 33% | 2 Oct → | |
| nuke | 13–11 | 0.03 | 10% | 27 Sept → | |
| dust2 | 12–12 | -0.04 | 0% | 26 Sept → | |
| anubis | 13–11 | -0.07 | 33% | 26 Sept → | |
| inferno | 11–13 | -0.05 | 33% | 26 Sept → | |
| dust2 | 7–13 | -0.04 | 0% | 26 Sept → | |
| cache | 6–13 | -0.08 | 9% | 24 Sept → | |
| nuke | 7–13 | -0.09 | 0% | 24 Sept → | |
| nuke | 11–13 | 0.02 | 0% | 24 Sept → | |
| nuke | 11–13 | 0.05 | 13% | 24 Sept → | |
| nuke | 8–13 | -0.02 | 0% | 24 Sept → | |
| dust2 | 13–6 | 0.03 | 25% | 24 Sept → | |
| nuke | 13–5 | 0.14 | 57% | 20 Sept → | |
| office | 4–13 | 0.01 | 22% | 20 Sept → | |
| dust2 | 10–13 | -0.02 | 17% | 20 Sept → | |
| nuke | 13–10 | -0.06 | 25% | 17 Sept → | |
| office | 13–5 | 0.07 | 60% | 17 Sept → | |
| anubis | 13–4 | -0.02 | 27% | 17 Sept → | |
| anubis | 4–13 | -0.04 | 10% | 17 Sept → | |
| nuke | 9–13 | -0.04 | 0% | 14 Sept → | |
| dust2 | 8–13 | 0.03 | 44% | 14 Sept → | |
| dust2 | 13–6 | -0.03 | 29% | 13 Sept → | |
| office | 12–12 | 0.02 | 44% | 13 Sept → | |
| nuke | 10–13 | -0.04 | 33% | 13 Sept → | |
| office | 9–13 | -0.06 | 40% | 13 Sept → | |
| nuke | 13–4 | -0.03 | 50% | 10 Sept → | |
| office | 10–13 | -0.05 | 22% | 10 Sept → | |
| office | 1–13 | -0.09 | 0% | 10 Sept → | |
| dust2 | 5–13 | -0.01 | 30% | 10 Sept → | |
| office | 13–10 | -0.09 | 33% | 8 Sept → | |
| office | 13–3 | 0.05 | 14% | 8 Sept → | |
| nuke | 13–8 | 0.04 | 20% | 8 Sept → | |
| office | 12–12 | -0.07 | 25% | 8 Sept → | |
| nuke | 1–13 | -0.13 | 17% | 7 Sept → | |
| dust2 | 12–12 | -0.06 | 0% | 7 Sept → | |
| nuke | 7–13 | -0.04 | 0% | 6 Sept → | |
| office | 13–7 | 0.05 | 13% | 6 Sept → | |
| office | 12–12 | -0.02 | 50% | 6 Sept → | |
| office | 3–13 | -0.05 | 67% | 6 Sept → | |
| dust2 | 13–10 | 0.01 | 30% | 6 Sept → | |
| nuke | 13–5 | 0.05 | 25% | 6 Sept → | |
| nuke | 10–13 | 0.06 | 50% | 4 Sept → | |
| office | 12–12 | -0.10 | 22% | 4 Sept → | |
| nuke | 13–10 | -0.00 | 20% | 4 Sept → | |
| dust2 | 9–10 | -0.02 | 0% | 4 Sept → | |
| cache | 13–8 | -0.02 | 18% | 4 Sept → | |
| nuke | 12–12 | -0.03 | 13% | 4 Sept → | |
| office | 13–5 | 0.02 | 27% | 4 Sept → | |
| office | 13–4 | -0.04 | 42% | 4 Sept → | |
| dust2 | 10–13 | -0.07 | 27% | 4 Sept → | |
| office | 13–10 | -0.03 | 10% | 2 Sept → | |
| nuke | 7–13 | -0.14 | 40% | 2 Sept → | |
| office | 13–11 | -0.07 | 33% | 2 Sept → | |
| nuke | 13–5 | -0.04 | 14% | 2 Sept → | |
| dust2 | 13–11 | 0.00 | 10% | 2 Sept → | |
| dust2 | 7–13 | -0.06 | 38% | 2 Sept → | |
| nuke | 3–13 | -0.07 | 29% | 31 Aug → | |
| nuke | 13–1 | -0.06 | 25% | 31 Aug → | |
| dust2 | 13–10 | -0.01 | 18% | 31 Aug → | |
| dust2 | 8–13 | 0.01 | 20% | 29 Aug → | |
| nuke | 13–8 | -0.04 | 0% | 27 Aug → | |
| nuke | 13–3 | -0.08 | 0% | 27 Aug → | |
| office | 11–13 | -0.02 | 25% | 27 Aug → | |
| cache | 13–2 | 0.05 | 0% | 26 Aug → | |
| nuke | 5–13 | -0.06 | 0% | 24 Aug → | |
| office | 12–12 | -0.07 | 33% | 23 Aug → | |
| office | 2–13 | -0.06 | 0% | 23 Aug → | |
| cache | 13–8 | 0.06 | 18% | 23 Aug → | |
| nuke | 9–13 | -0.02 | 0% | 23 Aug → | |
| dust2 | 4–13 | -0.07 | 0% | 23 Aug → | |
| nuke | 7–13 | 0.04 | 0% | 23 Aug → | |
| nuke | 13–6 | -0.04 | 0% | 20 Aug → | |
| dust2 | 9–13 | -0.06 | 11% | 20 Aug → | |
| cache | 13–1 | -0.04 | 0% | 20 Aug → | |
| nuke | 9–13 | -0.04 | 50% | 16 Aug → | |
| office | 8–13 | -0.02 | 0% | 16 Aug → | |
| dust2 | 13–9 | 0.02 | 45% | 16 Aug → | |
| office | 13–7 | -0.09 | 0% | 15 Aug → | |
| cache | 10–13 | -0.04 | 40% | 15 Aug → | |
| nuke | 4–13 | 0.03 | 29% | 15 Aug → | |
| nuke | 13–5 | -0.07 | 0% | 13 Aug → | |
| office | 13–3 | -0.03 | 17% | 13 Aug → | |
| dust2 | 11–13 | -0.07 | 31% | 13 Aug → | |
| nuke | 13–4 | -0.03 | 25% | 12 Aug → |
Match data via Leetify.
Recent teammates
Milestones
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