Akimbo Slice

Akimbo Slice — CS2 Stats

YE76561198063332597[U:1:103066869]Steam profile ↗✓ No bans

749Tracked matches62%Win rate2020Tracked since
1,415Hours in CS
CSDB Rating6.2 SolidAll-Rounder
Premier CS Rating14,482Blue band · top ~31.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 749 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 4 Sep 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,482 +2,983 4 Sept16 Sept · 35 days played
8,96114,482peak 14,4824 Sept16 Sept
14,598Peak Premier in tracked matches
46Days played since 2025-09-04

Premier CS Rating

  • At peak — 14,482
  • +5,521 over 90 days
  • Next: Purple band at 15,000 518 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-16
  • Light Blue band first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=12,413), 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.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate37.5%42.7%43.8%6.3% short
Shot accuracy17.1%11.2%12.0%above
Kill/death ratio0.901.001.020.12 short
Match win rate39.6%43.9%44.7%5.2% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAkimbo SliceFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,482 · Blue bandcsdb.gg/stats

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

Aim73
Positioning61
Utility52

0–100 skill scores via Leetify.

Recent form

HOT46495Last 10046%Win rateLWWWWWWLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.1pp headshot accuracy · −46ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 456ms

Last 10

  • 82 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 488ms

Last 20

  • 1541 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 511ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.3
Utility5.2
Positioning6.1
Opening Duels5.3
Clutch6.0

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3
Positioning6.1
Utility5.2
Mechanics5.9
Opening Duels5.0
Win Impact9.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time530ms−37ms
first ⅓ avg 567ms → last ⅓ avg 530ms
Headshot accuracy11.7%−1.6%
first ⅓ avg 13.3% → last ⅓ avg 11.7%

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

0.16Best match rating · 13–6 · ancient, 27 Feb
27%Best headshot accuracy · 10–13 · inferno, 19 Dec
391msFastest reaction time · 13–6 · nuke, 12 Nov
13–2Biggest win · inferno, 29 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
95In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 56% over 9trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientB23121152%0.00
nukeD1651131%0.01
infernoB136746%-0.00
overpassC135838%-0.00
mirageB105550%0.01
anubisA95456%0.02
dust2C73443%0.03
trainD51420%0.03
cache330100%0.03
fachwerk110100%-0.07

Across the last 100 tracked matches.

Lifetime stats

62,423Lifetime kills
0.90K/D
3,280Matches
39.6%Match win rate
37.5%Headshot %
17.1%Shot accuracy · Top 25% of Level 4 players
5,889MVPs
1,415Hours (in match)
2,297Bombs planted
676Bombs defused

Most-used weapons

AK-4725,305
AWP4,324
FAMAS1,839
MP91,542
MAC-101,411

Lifetime map wins

5,378dust2
4,071inferno
2,530nuke
2,122vertigo
1,146train
268cbble
141office
16italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

291Matches
44%Win rate
1.06Avg K/D
72.0ADR
32%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.6410.3
Dust21100%5.3316.0
Anubis1100%14.0014.0
Inferno10%0.296.0
Ancient1100%1.3818.0

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.

11.1%Headshot accuracy
38.3%Accuracy (enemy spotted)
39.2%Spray accuracy
76.4%Counter-strafing
9.1°Preaim
528msReaction time
51.2%T opening success
48.6%CT opening success
0.44Enemies flashed / flash
2.2%Flash assists
11.37HE damage / grenade
7.96Flashes / match

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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.0769% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.441 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient8–130.029%13 Sept
inferno13–11-0.0510%13 Sept
ancient13–8-0.028%12 Sept
mirage13–11-0.0111%12 Sept
inferno13–4-0.026%12 Sept
nuke16–120.0116%11 Sept
ancient16–13-0.0412%27 Jul
ancient11–13-0.009%27 Jul
cache13–70.068%27 Jul
anubis16–120.0410%27 Jul
anubis13–60.077%27 Jul
nuke5–130.0717%26 Jul
cache13–100.027%26 Jul
anubis13–70.077%25 Jul
dust213–50.1314%25 Jul
mirage13–50.0117%25 Jul
cache13–100.0111%25 Jul
fachwerk13–7-0.070%18 Jul
anubis12–120.0016%18 Jul
dust28–13-0.0115%28 Jun
inferno6–13-0.0219%28 Jun
ancient6–13-0.066%20 Jun
ancient13–110.019%25 May
inferno13–6-0.048%25 May
ancient10–13-0.0412%19 Apr
anubis10–130.039%19 Apr
overpass10–13-0.0411%11 Apr
inferno10–13-0.0022%11 Apr
mirage13–7-0.0112%10 Apr
mirage13–160.0511%10 Apr
nuke15–150.0218%9 Apr
overpass13–8-0.0215%9 Apr
overpass4–13-0.0224%5 Apr
dust25–13-0.0319%5 Apr
ancient7–130.0111%5 Apr
anubis13–100.036%5 Apr
nuke8–130.0817%31 Mar
overpass4–13-0.0810%31 Mar
ancient7–130.0017%21 Mar
anubis3–13-0.049%15 Mar
mirage3–130.0614%15 Mar
nuke13–8-0.0219%15 Mar
nuke13–110.059%14 Mar
ancient13–5-0.0010%8 Mar
nuke6–13-0.058%8 Mar
overpass16–140.0616%7 Mar
anubis5–13-0.0415%7 Mar
ancient13–110.0410%28 Feb
nuke5–13-0.063%28 Feb
anubis13–80.029%28 Feb
mirage13–110.0611%27 Feb
ancient13–60.1615%27 Feb
nuke7–130.0812%19 Feb
ancient12–16-0.0517%19 Feb
inferno10–13-0.026%19 Feb
nuke1–9-0.0013%18 Feb
ancient13–80.0224%13 Feb
overpass6–13-0.045%12 Jan
train9–130.0317%12 Jan
overpass14–160.0023%19 Dec
ancient13–70.054%19 Dec
inferno10–13-0.0327%19 Dec
overpass8–13-0.085%22 Nov
inferno9–130.0611%18 Nov
overpass15–150.0612%18 Nov
overpass8–13-0.0215%12 Nov
dust213–90.0211%12 Nov
nuke13–6-0.025%12 Nov
ancient13–9-0.0215%12 Nov
inferno2–13-0.0720%9 Nov
dust210–130.0213%9 Nov
mirage9–13-0.0323%6 Nov
mirage7–13-0.076%31 Oct
overpass13–90.0713%31 Oct
inferno9–13-0.045%31 Oct
ancient13–7-0.0210%30 Oct
train13–60.1020%30 Oct
dust28–130.0416%28 Oct
nuke6–13-0.0312%27 Oct
nuke15–15-0.0414%27 Oct
ancient13–10-0.0111%27 Oct
ancient9–13-0.0211%25 Oct
ancient13–90.0522%25 Oct
mirage14–160.0012%25 Oct
train5–13-0.0115%24 Oct
dust213–90.0226%24 Oct
nuke13–110.0018%24 Oct
overpass13–110.068%14 Oct
inferno13–90.0115%8 Oct
nuke5–13-0.050%5 Oct
ancient15–150.018%5 Oct
train11–130.0910%5 Oct
inferno13–20.0922%29 Sept
ancient11–13-0.054%29 Sept
ancient10–13-0.0016%25 Sept
nuke9–130.0613%25 Sept
overpass16–120.0112%7 Sept
inferno13–30.1013%7 Sept
train4–13-0.0516%4 Sept
mirage13–3-0.0114%4 Sept

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →