Akipo

Akipo — CS2 Stats

FI76561198201912854[U:1:241647126]Steam profile ↗✓ No bans

631Tracked matches24%Win rate2020Tracked since
1,921Hours in CS10Hrs last 2 wks
CSDB Rating3.5 LearningSupport
FaceitLevel 3 · 710 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 710 → 710
+9Tracked matches · now 631
−3.4ppWin rate · 27.6% → 24.1%
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. 59 days played since 2 Dec 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: 2,259 -3,104 2 Dec29 Jun · 25 days played
2,2596,603peak 6,6032 Dec29 Jun
6,603Peak Premier in tracked matches
710Highest Faceit ELO seen on CSDB
59Days played since 2025-12-02

Faceit ELO

  • At peak — 710
  • Next: Level 3 at 751 41 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 3 medianLevel 4 medianvs Level 4
Headshot rate41.7%41.9%42.7%1.0% short
Shot accuracy13.6%12.2%11.3%above
Kill/death ratio0.830.980.990.16 short
Match win rate40.9%43.3%43.9%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.

Share this profile

CSDB.GGAkipoFACEITLevel 3 · 710 ELOSTANDINGTop 90.6% of rankedPEAK ELO710csdb.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

Aim28
Positioning51
Utility55

0–100 skill scores via Leetify.

Recent form

COLD27712Last 10027%Win rateLLLLLWWWLL

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · −4.5pp headshot accuracy · −142ms reaction

Win rate up 30pp 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

  • 05 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 756ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 775ms

Last 20

  • 317 · 15% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 846ms

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: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim2.8
Utility5.5
Positioning5.1
Opening Duels3.7
Clutch3.2

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

jL

Plays most like jL 54% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 844ms 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

Aim2.8
Positioning5.1
Utility5.5
Mechanics5.6
Opening Duels3.2
Win Impact0.0

Composite 3.5/10 (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

Match rating-0.06−0.05
first ⅓ avg -0.01 → last ⅓ avg -0.06
Reaction time861ms+40ms
first ⅓ avg 821ms → last ⅓ avg 861ms
Headshot accuracy18.2%+1.4%
first ⅓ avg 16.8% → last ⅓ avg 18.2%

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

0.12Best match rating · 16–13 · nuke, 4 Jan
50%Best headshot accuracy · 0–9 · nuke, 8 Aug
539msFastest reaction time · 5–13 · ancient, 22 Feb
13–1Biggest win · inferno, 8 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
11Overtime games

Map breakdown

ancientBest map · 42% over 19mirageWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD2471729%-0.04
nukeC2071335%-0.02
ancientC1981142%-0.04
overpassD1321115%-0.04
dust2D103730%-0.03
mirageD6060%-0.06
anubisD6060%-0.05
cache2020%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,815Lifetime kills
0.83K/D
2,345Matches
40.9%Match win rate
41.7%Headshot %
13.6%Shot accuracy · Top 50% of Level 3 players
4,581MVPs
987Hours (in match)
2,697Bombs planted
333Bombs defused

Most-used weapons

AK-476,880
AUG2,399
SG 5532,270
AWP1,876
P901,655
MP91,296

Lifetime map wins

5,339inferno
2,824nuke
2,505dust2
1,298vertigo
900train
77cbble
37office
19lake

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

Faceit stats

Combat

308Matches
47%Win rate
0.86Avg K/D
72.6ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient4643%0.8213.7
Inferno3837%0.9114.3
Nuke3453%0.8913.8
Dust22744%0.9012.4
Overpass1567%0.9413.5
Mirage1567%0.9115.1
Anubis1145%0.7811.4
Train650%1.0217.8

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.

16.0%Headshot accuracy
32.7%Accuracy (enemy spotted)
38.5%Spray accuracy
75.2%Counter-strafing
12.7°Preaim
844msReaction time
36.1%T opening success
49.4%CT opening success
0.64Enemies flashed / flash
2.6%Flash assists
12.31HE damage / grenade
6.65Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6795° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 843.8457ms — above the 700ms mark we flag

    Aim Training
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0315%16 Sept
cache8–13-0.0215%16 Sept
mirage9–13-0.0615%15 Sept
mirage0–8-0.0320%15 Sept
inferno14–16-0.077%13 Sept
ancient13–60.0320%6 Sept
dust213–50.0016%26 Aug
ancient13–7-0.0512%23 Aug
dust213–16-0.0518%19 Aug
nuke4–13-0.0833%15 Aug
ancient6–13-0.0718%12 Aug
inferno4–9-0.0414%12 Aug
ancient10–13-0.0714%9 Aug
nuke3–9-0.0425%9 Aug
cache2–13-0.130%8 Aug
anubis2–13-0.0610%8 Aug
inferno0–9-0.2033%8 Aug
inferno6–9-0.0122%8 Aug
nuke0–9-0.2650%8 Aug
anubis0–13-0.0729%29 Jun
nuke2–13-0.0518%29 Jun
nuke7–13-0.0321%17 May
overpass13–6-0.0413%9 May
inferno13–10.035%8 May
inferno4–13-0.0825%24 Apr
inferno10–13-0.0215%22 Apr
ancient13–40.0221%21 Apr
dust215–15-0.0119%14 Apr
overpass9–13-0.0716%1 Apr
ancient4–13-0.0826%29 Mar
ancient4–13-0.138%25 Mar
overpass6–13-0.086%24 Mar
overpass2–13-0.0823%20 Mar
inferno1–13-0.0316%20 Mar
inferno13–5-0.0116%18 Mar
anubis9–13-0.037%18 Mar
nuke13–80.0024%11 Mar
inferno13–40.0018%11 Mar
overpass4–13-0.0623%11 Mar
ancient8–13-0.107%8 Mar
nuke8–13-0.0210%8 Mar
mirage1–13-0.1036%8 Mar
inferno3–13-0.0326%4 Mar
overpass10–13-0.075%4 Mar
nuke11–13-0.0116%3 Mar
mirage3–13-0.1122%3 Mar
dust216–12-0.0218%1 Mar
overpass9–13-0.0215%28 Feb
nuke5–13-0.069%28 Feb
inferno3–13-0.0714%27 Feb
inferno12–16-0.0819%25 Feb
anubis7–13-0.0323%24 Feb
overpass16–19-0.0317%22 Feb
ancient13–8-0.035%22 Feb
ancient5–13-0.120%22 Feb
overpass10–40.0110%22 Feb
dust22–10-0.0111%22 Feb
inferno10–13-0.078%15 Feb
mirage9–13-0.0426%15 Feb
ancient13–16-0.109%15 Feb
anubis8–13-0.0410%15 Feb
mirage11–13-0.0422%15 Feb
dust23–13-0.0414%3 Feb
anubis7–13-0.0513%3 Feb
ancient11–10.0121%1 Feb
nuke9–130.0315%1 Feb
nuke13–10-0.048%25 Jan
inferno9–13-0.0513%25 Jan
dust26–13-0.0713%21 Jan
inferno13–10-0.0517%18 Jan
nuke13–30.059%18 Jan
dust213–7-0.0220%18 Jan
ancient4–13-0.0617%14 Jan
overpass10–13-0.049%14 Jan
overpass10–130.0312%13 Jan
ancient13–80.0111%13 Jan
inferno3–13-0.0513%9 Jan
ancient13–160.0413%8 Jan
nuke5–13-0.0126%7 Jan
ancient15–15-0.0724%6 Jan
nuke8–13-0.0828%5 Jan
ancient10–130.0626%4 Jan
nuke16–130.1212%4 Jan
overpass9–13-0.067%17 Dec
inferno13–20.1113%16 Dec
nuke7–13-0.0911%16 Dec
ancient13–9-0.0115%16 Dec
inferno13–90.0118%15 Dec
inferno5–13-0.0826%14 Dec
inferno9–13-0.0416%14 Dec
nuke3–13-0.0622%14 Dec
inferno3–13-0.1137%12 Dec
inferno13–11-0.0218%10 Dec
ancient13–8-0.0017%9 Dec
nuke13–100.0710%9 Dec
nuke13–50.095%9 Dec
inferno6–13-0.0017%8 Dec
nuke13–90.0129%3 Dec
dust213–16-0.0518%3 Dec
overpass7–130.0511%2 Dec

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 →