Ake

Ake — CS2 Stats

FI76561198185266137[U:1:225000409]Steam profile ↗✓ No bans

1,566Tracked matches57%Win rate2021Tracked since
1,770Hours in CS12Hrs last 2 wks
CSDB Rating6.6 SolidClutch Specialist
Premier CS Rating20,107Top 50% of 213,399 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#81874 of 259982 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,107 -1,176 29 Aug – 4 Nov · 16 days played
18,29021,283peak 21,28329 Aug4 Nov
21,283Peak Premier in tracked matches
22Days played since 2026-08-29

Premier CS Rating

  • 1,176 below peak (21,283)
  • +1,547 over 30 days · improving
  • Next: Red band at 25,000 — 4,893 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches7392−19
Win rate63%59%+4pp
K/D0.981.00−0.02
Headshot %48%48%+1pp

Measured 2 Oct 2026 → 5 Nov 2026; previous 4 Sep 2026 → 2 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.5%46.9%49.3%7.7% short
Shot accuracy7.8%13.0%13.4%5.6% short
Kill/death ratio1.041.081.120.08 short
Match win rate41.2%46.7%48.5%7.3% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAkePREMIER20,107 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning52
Utility62

0–100 skill scores via Leetify.

Recent form

HOT58–38–4Last 10058%Win rateWWLWLWWLWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −19ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 591ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 581ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 591ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim7.3
Utility6.2
Positioning5.2
Opening Duels2.7
Clutch8.0

Reliable in 1v1s

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 89% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 580ms 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

Aim7.3
Positioning5.2
Utility6.2
Mechanics7.8
Opening Duels4.3
Win Impact7.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time583ms+36ms
first ⅓ avg 547ms → last ⅓ avg 583ms
Headshot accuracy21.3%+1.4%
first ⅓ avg 19.9% → last ⅓ avg 21.3%

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

0.19Best match rating · 13–3 · nuke, 29 Sept →
40%Best headshot accuracy · 13–4 · train, 28 Oct →
328msFastest reaction time · 2–8 · mirage, 12 Oct →
13–0Biggest win · vertigo, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
12–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 80% over 5mirageWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
nukeS3724–1365%0.01
mirageC197–1237%-0.02
cacheS1712–571%0.01
dust2B63–350%-0.01
trainS54–180%0.01
anubis—43–175%0.01
ancient—41–325%0.00
overpass—31–233%0.03
vertigo—21–150%0.06
inferno—21–150%0.03
office—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,343Lifetime kills
1.04K/D
2,868Matches
41.2%Match win rate
41.5%Headshot %
7.8%Shot accuracy
5,788MVPs
1,010Hours (in match)
3,024Bombs planted
618Bombs defused

Most-used weapons

Lifetime map wins

5,718nuke
2,535dust2
1,604inferno
758train
743vertigo
352office
173lake
145bank

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

Faceit stats

Combat

9Matches
33%Win rate
0.96Avg K/D
77.3ADR
47%Headshot %

Clutches & streaks

60%1v1 clutch win
11%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.9116.0
Cache2100%1.5614.5
Nuke10%0.7319.0
Ancient10%0.315.0

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.

22.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
33.8%Spray accuracy
85.2%Counter-strafing
10.6°Preaim
580msReaction time
53.0%T opening success
41.5%CT opening success
0.62Enemies flashed / flash
6.6%Flash assists
10.20HE damage / grenade
9.68Flashes / match

Recommended for you

Spend your practice time on Mirage

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–14-0.0719%4 Nov →
cache13–80.0532%4 Nov →
mirage3–13-0.0431%4 Nov →
anubis13–3-0.0211%3 Nov →
vertigo9–130.0111%3 Nov →
anubis13–40.0817%2 Nov →
ancient13–8-0.0315%2 Nov →
train4–110.0319%2 Nov →
train13–11-0.0038%30 Oct →
nuke13–5-0.0621%30 Oct →
mirage12–12-0.0020%30 Oct →
mirage8–13-0.0516%29 Oct →
inferno11–130.0515%29 Oct →
dust211–13-0.0317%29 Oct →
train13–40.0140%28 Oct →
mirage8–13-0.0612%28 Oct →
overpass9–130.0132%28 Oct →
overpass13–20.1031%28 Oct →
mirage13–11-0.0122%21 Oct →
cache3–130.0030%21 Oct →
mirage13–60.0119%21 Oct →
mirage11–130.0330%21 Oct →
dust212–12-0.0433%21 Oct →
mirage13–110.0427%21 Oct →
nuke8–13-0.0120%21 Oct →
cache13–5-0.0013%16 Oct →
train13–50.035%16 Oct →
cache13–110.0619%16 Oct →
mirage13–40.1032%16 Oct →
mirage9–130.0814%16 Oct →
vertigo13–00.1112%16 Oct →
overpass11–13-0.0320%16 Oct →
office13–6-0.0211%14 Oct →
nuke13–110.0222%14 Oct →
nuke13–10-0.0814%14 Oct →
mirage3–13-0.0829%14 Oct →
nuke13–7-0.0420%14 Oct →
nuke6–13-0.1127%14 Oct →
cache13–6-0.0613%13 Oct →
dust213–110.0133%13 Oct →
cache13–30.0312%13 Oct →
cache0–13-0.0118%13 Oct →
cache6–13-0.0412%13 Oct →
nuke13–110.0412%13 Oct →
mirage9–13-0.0515%12 Oct →
cache11–13-0.0124%12 Oct →
anubis11–130.0517%12 Oct →
mirage2–8-0.0917%12 Oct →
mirage13–10-0.0913%12 Oct →
nuke13–60.0111%12 Oct →
cache13–100.0414%12 Oct →
mirage5–13-0.0318%12 Oct →
mirage14–16-0.0320%11 Oct →
nuke13–10-0.0116%11 Oct →
dust213–8-0.0211%11 Oct →
mirage13–8-0.0128%11 Oct →
nuke13–60.0513%11 Oct →
inferno13–90.018%11 Oct →
cache16–14-0.0019%11 Oct →
cache13–60.0622%11 Oct →
mirage13–5-0.0221%11 Oct →
dust25–130.0116%11 Oct →
nuke13–110.0216%10 Oct →
ancient7–13-0.0316%10 Oct →
nuke13–7-0.0225%10 Oct →
nuke9–13-0.0730%10 Oct →
nuke13–8-0.0414%10 Oct →
nuke11–130.0720%10 Oct →
nuke13–80.0535%10 Oct →
cache10–13-0.0213%10 Oct →
nuke10–130.0114%10 Oct →
cache13–30.0312%10 Oct →
nuke13–40.0724%7 Oct →
nuke13–30.059%7 Oct →
nuke13–30.0412%7 Oct →
cache13–7-0.0621%1 Oct →
dust213–110.0122%1 Oct →
nuke1–130.0035%1 Oct →
nuke11–13-0.074%29 Sept →
nuke13–7-0.0524%29 Sept →
nuke13–7-0.0238%29 Sept →
nuke6–13-0.0718%29 Sept →
nuke13–30.1930%29 Sept →
nuke7–130.0328%29 Sept →
ancient5–13-0.0515%29 Sept →
mirage7–13-0.0625%29 Sept →
nuke13–70.0327%27 Sept →
nuke12–12-0.0011%27 Sept →
nuke13–7-0.0216%26 Sept →
nuke9–130.0224%26 Sept →
nuke12–120.0117%26 Sept →
ancient8–130.1220%24 Sept →
train13–4-0.0216%24 Sept →
cache13–40.0414%24 Sept →
nuke13–70.0713%24 Sept →
nuke13–30.1113%23 Sept →
cache13–100.0621%23 Sept →
nuke13–80.0427%23 Sept →
nuke6–90.0531%22 Sept →
nuke16–140.0611%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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