Akipo — CS2 Stats
FI76561198201912854[U:1:241647126]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,851), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 41.7% | 41.8% | 42.7% | 1.0% short |
| Shot accuracy | 13.7% | 11.9% | 10.8% | above |
| Kill/death ratio | 0.83 | 0.97 | 1.00 | 0.16 short |
| Match win rate | 41.0% | 43.5% | 44.1% | 3.1% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 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: +0pp win rate · +0.01 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 80% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Areas to improve
Reaction time. 859ms 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 3.2/10 (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 |
|---|---|---|---|---|---|
 inferno | D | 23 | 7–16 | 30% | -0.04 |
 nuke | C | 22 | 9–13 | 41% | -0.02 |
 ancient | C | 19 | 7–12 | 37% | -0.05 |
 overpass | D | 13 | 2–11 | 15% | -0.04 |
 dust2 | D | 10 | 3–7 | 30% | -0.03 |
 anubis | D | 6 | 0–6 | 0% | -0.05 |
 mirage | D | 5 | 1–4 | 20% | -0.06 |
 cache | — | 1 | 0–1 | 0% | -0.13 |
 train | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 44 | 43% | 0.85 | 14.1 |
| Inferno | 37 | 38% | 0.93 | 14.6 |
| Nuke | 33 | 52% | 0.89 | 13.9 |
| Dust2 | 27 | 44% | 0.90 | 12.4 |
| Mirage | 15 | 67% | 0.91 | 15.1 |
| Overpass | 15 | 67% | 0.94 | 13.5 |
| Anubis | 10 | 50% | 0.80 | 11.1 |
| Train | 6 | 50% | 1.02 | 17.8 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.928° — above the 12° mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 859.2222ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–5 | 0.00 | 16% | 26 Aug → | |
| ancient | 13–7 | -0.05 | 12% | 23 Aug → | |
| dust2 | 13–16 | -0.05 | 18% | 19 Aug → | |
| nuke | 4–13 | -0.08 | 33% | 15 Aug → | |
| ancient | 6–13 | -0.07 | 18% | 12 Aug → | |
| inferno | 4–9 | -0.04 | 14% | 12 Aug → | |
| ancient | 10–13 | -0.07 | 14% | 9 Aug → | |
| nuke | 3–9 | -0.04 | 25% | 9 Aug → | |
| cache | 2–13 | -0.13 | 0% | 8 Aug → | |
| anubis | 2–13 | -0.06 | 10% | 8 Aug → | |
| inferno | 0–9 | -0.20 | 33% | 8 Aug → | |
| inferno | 6–9 | -0.01 | 22% | 8 Aug → | |
| nuke | 0–9 | -0.26 | 50% | 8 Aug → | |
| anubis | 0–13 | -0.07 | 29% | 29 Jun → | |
| nuke | 2–13 | -0.05 | 18% | 29 Jun → | |
| nuke | 7–13 | -0.03 | 21% | 17 May → | |
| overpass | 13–6 | -0.04 | 13% | 9 May → | |
| inferno | 13–1 | 0.03 | 5% | 8 May → | |
| inferno | 4–13 | -0.08 | 25% | 24 Apr → | |
| inferno | 10–13 | -0.02 | 15% | 22 Apr → | |
| ancient | 13–4 | 0.02 | 21% | 21 Apr → | |
| dust2 | 15–15 | -0.01 | 19% | 14 Apr → | |
| overpass | 9–13 | -0.07 | 16% | 1 Apr → | |
| ancient | 4–13 | -0.08 | 26% | 29 Mar → | |
| ancient | 4–13 | -0.13 | 8% | 25 Mar → | |
| overpass | 6–13 | -0.08 | 6% | 24 Mar → | |
| overpass | 2–13 | -0.08 | 23% | 20 Mar → | |
| inferno | 1–13 | -0.03 | 16% | 20 Mar → | |
| inferno | 13–5 | -0.01 | 16% | 18 Mar → | |
| anubis | 9–13 | -0.03 | 7% | 18 Mar → | |
| nuke | 13–8 | 0.00 | 24% | 11 Mar → | |
| inferno | 13–4 | 0.00 | 18% | 11 Mar → | |
| overpass | 4–13 | -0.06 | 23% | 11 Mar → | |
| ancient | 8–13 | -0.10 | 7% | 8 Mar → | |
| nuke | 8–13 | -0.02 | 10% | 8 Mar → | |
| mirage | 1–13 | -0.10 | 36% | 8 Mar → | |
| inferno | 3–13 | -0.03 | 26% | 4 Mar → | |
| overpass | 10–13 | -0.07 | 5% | 4 Mar → | |
| nuke | 11–13 | -0.01 | 16% | 3 Mar → | |
| mirage | 3–13 | -0.11 | 22% | 3 Mar → | |
| dust2 | 16–12 | -0.02 | 18% | 1 Mar → | |
| overpass | 9–13 | -0.02 | 15% | 28 Feb → | |
| nuke | 5–13 | -0.06 | 9% | 28 Feb → | |
| inferno | 3–13 | -0.07 | 14% | 27 Feb → | |
| inferno | 12–16 | -0.08 | 19% | 25 Feb → | |
| anubis | 7–13 | -0.03 | 23% | 24 Feb → | |
| overpass | 16–19 | -0.03 | 17% | 22 Feb → | |
| ancient | 13–8 | -0.03 | 5% | 22 Feb → | |
| ancient | 5–13 | -0.12 | 0% | 22 Feb → | |
| overpass | 10–4 | 0.01 | 10% | 22 Feb → | |
| dust2 | 2–10 | -0.01 | 11% | 22 Feb → | |
| inferno | 10–13 | -0.07 | 8% | 15 Feb → | |
| mirage | 9–13 | -0.04 | 26% | 15 Feb → | |
| ancient | 13–16 | -0.10 | 9% | 15 Feb → | |
| anubis | 8–13 | -0.04 | 10% | 15 Feb → | |
| mirage | 11–13 | -0.04 | 22% | 15 Feb → | |
| dust2 | 3–13 | -0.04 | 14% | 3 Feb → | |
| anubis | 7–13 | -0.05 | 13% | 3 Feb → | |
| ancient | 11–1 | 0.01 | 21% | 1 Feb → | |
| nuke | 9–13 | 0.03 | 15% | 1 Feb → | |
| nuke | 13–10 | -0.04 | 8% | 25 Jan → | |
| inferno | 9–13 | -0.05 | 13% | 25 Jan → | |
| dust2 | 6–13 | -0.07 | 13% | 21 Jan → | |
| inferno | 13–10 | -0.05 | 17% | 18 Jan → | |
| nuke | 13–3 | 0.05 | 9% | 18 Jan → | |
| dust2 | 13–7 | -0.02 | 20% | 18 Jan → | |
| ancient | 4–13 | -0.06 | 17% | 14 Jan → | |
| overpass | 10–13 | -0.04 | 9% | 14 Jan → | |
| overpass | 10–13 | 0.03 | 12% | 13 Jan → | |
| ancient | 13–8 | 0.01 | 11% | 13 Jan → | |
| inferno | 3–13 | -0.05 | 13% | 9 Jan → | |
| ancient | 13–16 | 0.04 | 13% | 8 Jan → | |
| nuke | 5–13 | -0.01 | 26% | 7 Jan → | |
| ancient | 15–15 | -0.07 | 24% | 6 Jan → | |
| nuke | 8–13 | -0.08 | 28% | 5 Jan → | |
| ancient | 10–13 | 0.06 | 26% | 4 Jan → | |
| nuke | 16–13 | 0.12 | 12% | 4 Jan → | |
| overpass | 9–13 | -0.06 | 7% | 17 Dec → | |
| inferno | 13–2 | 0.11 | 13% | 16 Dec → | |
| nuke | 7–13 | -0.09 | 11% | 16 Dec → | |
| ancient | 13–9 | -0.01 | 15% | 16 Dec → | |
| inferno | 13–9 | 0.01 | 18% | 15 Dec → | |
| inferno | 5–13 | -0.08 | 26% | 14 Dec → | |
| inferno | 9–13 | -0.04 | 16% | 14 Dec → | |
| nuke | 3–13 | -0.06 | 22% | 14 Dec → | |
| inferno | 3–13 | -0.11 | 37% | 12 Dec → | |
| inferno | 13–11 | -0.02 | 18% | 10 Dec → | |
| ancient | 13–8 | -0.00 | 17% | 9 Dec → | |
| nuke | 13–10 | 0.07 | 10% | 9 Dec → | |
| nuke | 13–5 | 0.09 | 5% | 9 Dec → | |
| inferno | 6–13 | -0.00 | 17% | 8 Dec → | |
| nuke | 13–9 | 0.01 | 29% | 3 Dec → | |
| dust2 | 13–16 | -0.05 | 18% | 3 Dec → | |
| overpass | 7–13 | 0.05 | 11% | 2 Dec → | |
| ancient | 11–13 | -0.10 | 5% | 2 Dec → | |
| nuke | 13–2 | 0.04 | 13% | 2 Dec → | |
| dust2 | 9–13 | -0.05 | 19% | 1 Dec → | |
| mirage | 13–10 | -0.03 | 18% | 1 Dec → | |
| train | 9–13 | 0.07 | 25% | 30 Nov → | |
| nuke | 13–8 | 0.00 | 10% | 30 Nov → |
Match data via Leetify.
