alapo — CS2 Stats
76561199662860991[U:1:1702595263]Steam profile ↗
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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 b1t 81% 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
Reaction time. 674ms 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 3.7/10 (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 |
|---|---|---|---|---|---|
| D | 24 | 7–17 | 29% | -0.01 | |
| B | 17 | 9–8 | 53% | -0.03 | |
| D | 16 | 4–12 | 25% | -0.01 | |
| D | 11 | 2–9 | 18% | -0.03 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| office | — | 3 | 1–2 | 33% | -0.00 |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (18% 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.
- 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 0.2461 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.05 | 24% | 27 Apr → | ||
| 13–5 | -0.08 | 14% | 21 Apr → | ||
| 1–13 | -0.07 | 22% | 21 Apr → | ||
| 4–13 | -0.05 | 13% | 23 Mar → | ||
| 7–13 | -0.04 | 13% | 23 Mar → | ||
| 9–13 | -0.04 | 16% | 22 Mar → | ||
| 13–11 | -0.02 | 15% | 22 Mar → | ||
| 13–7 | -0.03 | 16% | 22 Mar → | ||
| 6–13 | -0.06 | 9% | 20 Mar → | ||
| 3–13 | -0.07 | 11% | 20 Mar → | ||
| 16–14 | -0.04 | 12% | 20 Mar → | ||
| 11–13 | -0.05 | 11% | 19 Mar → | ||
| 13–6 | -0.03 | 16% | 19 Mar → | ||
| 10–13 | -0.04 | 12% | 18 Mar → | ||
| 13–6 | -0.05 | 22% | 18 Mar → | ||
| 13–7 | 0.06 | 7% | 18 Mar → | ||
| 8–13 | 0.01 | 24% | 15 Mar → | ||
| 4–13 | -0.05 | 19% | 15 Mar → | ||
| 2–13 | -0.07 | 14% | 15 Mar → | ||
| 7–13 | -0.03 | 21% | 15 Mar → | ||
| 2–7 | -0.11 | 40% | 1 Mar → | ||
| 8–13 | -0.07 | 13% | 28 Feb → | ||
| 12–14 | -0.00 | 23% | 28 Feb → | ||
| 13–10 | 0.01 | 25% | 26 Feb → | ||
| 13–6 | 0.04 | 11% | 26 Feb → | ||
| 13–8 | -0.06 | 12% | 26 Feb → | ||
| 7–13 | -0.08 | 13% | 26 Feb → | ||
| 13–5 | 0.09 | 28% | 25 Feb → | ||
| 13–16 | -0.02 | 25% | 24 Feb → | ||
| 13–5 | -0.04 | 32% | 24 Feb → | ||
| 7–13 | 0.00 | 25% | 24 Feb → | ||
| 15–15 | -0.07 | 16% | 24 Feb → | ||
| 13–8 | 0.00 | 20% | 24 Feb → | ||
| 3–13 | -0.05 | 20% | 24 Feb → | ||
| 13–4 | 0.06 | 23% | 24 Feb → | ||
| 9–13 | -0.06 | 18% | 23 Feb → | ||
| 9–13 | -0.04 | 14% | 23 Feb → | ||
| 5–13 | -0.03 | 11% | 22 Feb → | ||
| 4–13 | -0.04 | 18% | 21 Feb → | ||
| 13–7 | 0.09 | 17% | 21 Feb → | ||
| 10–13 | -0.01 | 12% | 21 Feb → | ||
| office | 1–2 | -0.10 | 0% | 21 Feb → | |
| 10–13 | -0.05 | 24% | 20 Feb → | ||
| 11–13 | -0.03 | 16% | 20 Feb → | ||
| 16–14 | -0.10 | 15% | 19 Feb → | ||
| 3–13 | -0.06 | 13% | 19 Feb → | ||
| 13–8 | 0.02 | 25% | 19 Feb → | ||
| 13–7 | -0.03 | 24% | 18 Feb → | ||
| 7–13 | 0.03 | 30% | 18 Feb → | ||
| 15–15 | 0.03 | 18% | 18 Feb → | ||
| 13–4 | 0.05 | 34% | 17 Feb → | ||
| 9–13 | 0.04 | 18% | 17 Feb → | ||
| 13–11 | -0.01 | 15% | 17 Feb → | ||
| 13–16 | -0.02 | 17% | 17 Feb → | ||
| 13–11 | -0.03 | 24% | 17 Feb → | ||
| office | 4–13 | -0.08 | 20% | 14 Feb → | |
| 13–7 | 0.01 | 23% | 14 Feb → | ||
| 7–13 | 0.06 | 31% | 13 Feb → | ||
| 13–8 | -0.00 | 17% | 13 Feb → | ||
| 7–13 | -0.04 | 24% | 13 Feb → | ||
| 0–13 | -0.05 | 19% | 13 Feb → | ||
| 3–13 | -0.01 | 28% | 12 Feb → | ||
| 1–13 | -0.01 | 27% | 12 Feb → | ||
| 15–15 | 0.03 | 25% | 12 Feb → | ||
| 8–13 | -0.02 | 21% | 12 Feb → | ||
| 8–11 | -0.01 | 26% | 12 Feb → | ||
| 14–16 | 0.04 | 19% | 11 Feb → | ||
| 13–6 | -0.02 | 17% | 11 Feb → | ||
| 16–14 | -0.01 | 21% | 10 Feb → | ||
| 13–11 | 0.03 | 27% | 10 Feb → | ||
| 13–10 | 0.02 | 37% | 10 Feb → | ||
| 1–13 | -0.03 | 10% | 9 Feb → | ||
| 7–13 | -0.02 | 17% | 8 Feb → | ||
| 11–13 | -0.03 | 22% | 8 Feb → | ||
| 8–13 | -0.05 | 19% | 8 Feb → | ||
| 15–15 | 0.06 | 31% | 7 Feb → | ||
| 9–13 | 0.09 | 17% | 7 Feb → | ||
| 10–13 | 0.00 | 30% | 7 Feb → | ||
| 1–8 | -0.01 | 21% | 5 Feb → | ||
| 13–9 | -0.01 | 13% | 5 Feb → | ||
| 13–9 | 0.04 | 27% | 5 Feb → | ||
| 8–13 | 0.02 | 28% | 4 Feb → | ||
| 13–1 | 0.10 | 32% | 4 Feb → | ||
| 13–6 | -0.02 | 29% | 4 Feb → | ||
| 13–6 | -0.01 | 15% | 4 Feb → | ||
| 5–13 | -0.03 | 10% | 3 Feb → | ||
| 13–8 | -0.02 | 6% | 3 Feb → | ||
| 10–13 | 0.00 | 14% | 3 Feb → | ||
| 3–13 | -0.07 | 8% | 3 Feb → | ||
| 5–4 | -0.04 | 18% | 3 Feb → | ||
| 8–13 | -0.00 | 21% | 2 Feb → | ||
| 6–13 | 0.02 | 24% | 2 Feb → | ||
| 4–13 | -0.08 | 20% | 1 Feb → | ||
| 6–13 | -0.04 | 16% | 1 Feb → | ||
| 14–16 | -0.08 | 20% | 1 Feb → | ||
| 13–7 | 0.05 | 23% | 31 Jan → | ||
| office | 13–7 | 0.16 | 23% | 31 Jan → | |
| 8–13 | -0.07 | 17% | 30 Jan → | ||
| 4–13 | 0.01 | 22% | 30 Jan → | ||
| 10–13 | 0.03 | 35% | 29 Jan → |
Match data via Leetify.