Akadie — CS2 Stats

76561198123521606[U:1:163255878]✓ No bans

1,626Tracked matches37%Win rate2020Tracked since
4,777Hours in CS15Hrs last 2 wks
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim46
Positioning53
Utility46

0–100 skill scores via Leetify.

Recent form

COLD44533Last 10044%Win rateLLLLLLLWWL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim4.6
Aggression8.3
Utility4.6
Positioning5.3
Opening Duels3.9
Clutch3.0

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

ropz

Plays most like ropz 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning5.3
Utility4.6
Mechanics3.5
Opening Duels3.9
Win Impact0.6

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

Match rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time543ms−31ms
first ⅓ avg 574ms → last ⅓ avg 543ms
Headshot accuracy12.3%−2.0%
first ⅓ avg 14.3% → last ⅓ avg 12.3%

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.

Highlights

0.17Best rating — office 13–4
132Biggest win — nuke
6Longest win streak
L7Current streak
55In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 67% over 6cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
anubisC146843%0.00
cacheD134931%0.02
infernoC135838%-0.00
nukeC125742%0.02
dust2B105550%0.00
ancientB84450%0.00
officeA74357%0.04
vertigoC73443%-0.02
mirageD62433%-0.04
trainS64267%0.01
overpass32167%-0.02
alpine1010%0.01

Across the last 100 tracked matches.

Lifetime stats

125,427Lifetime kills
1.26K/D · Top 25% of tracked players
5,706Matches
47.4%Match win rate · Top 50% of tracked players
37.3%Headshot %
14.1%Shot accuracy · Top 50% of tracked players
14,194MVPs
2,366Hours (in match)
4,605Bombs planted
927Bombs defused

Most-used weapons

AK-4729,304
AWP8,459
MP95,959
Nova3,325
UMP-453,006

Lifetime map wins

19,082office
10,552dust2
5,307inferno
4,862nuke
1,515vertigo
721train
315lake
279cbble

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

Faceit stats

Combat

194Matches
55%Win rate
1.15Avg K/D
81.9ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3352%1.0114.4
Nuke3155%1.1817.3
Anubis2148%1.1717.1
Vertigo1464%1.2614.6
Ancient1479%1.0114.8
Inferno1471%1.1916.4
Dust21040%0.8214.2
Overpass850%1.1715.5

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.

12.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
39.3%Spray accuracy
65.9%Counter-strafing
13.3°Preaim
539msReaction time
47.3%T opening success
44.0%CT opening success
0.45Enemies flashed / flash
7.5%Flash assists
4.70HE damage / grenade
12.84Flashes / 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 13.2738° — above the 12° mark we flag

    Aim Training
  2. 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 12.5463% — below the 15% mark we flag

    Aim Training
  3. 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 0.4459 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache12–16-0.0214%27 Aug
cache8–130.0114%20 Aug
nuke7–130.009%20 Aug
mirage3–13-0.083%20 Aug
nuke11–13-0.0715%19 Aug
anubis8–13-0.0111%19 Aug
cache7–130.0420%19 Aug
ancient13–9-0.0114%19 Aug
anubis13–70.0015%19 Aug
ancient11–13-0.0213%18 Aug
nuke2–13-0.0623%18 Aug
dust213–50.0317%18 Aug
nuke1–13-0.010%17 Aug
anubis13–100.0412%17 Aug
cache13–90.0517%12 Aug
ancient6–13-0.017%12 Aug
office13–50.117%12 Aug
cache8–13-0.048%11 Aug
inferno13–110.0126%9 Aug
dust213–80.064%8 Aug
nuke10–130.1018%7 Aug
dust213–40.0315%7 Aug
cache10–13-0.0314%5 Aug
vertigo6–130.0115%5 Aug
inferno6–13-0.0212%5 Aug
train8–13-0.0914%5 Aug
vertigo9–13-0.060%4 Aug
anubis13–6-0.018%3 Aug
dust213–50.059%3 Aug
anubis7–13-0.0215%30 Jul
dust27–13-0.009%30 Jul
inferno13–40.049%30 Jul
ancient1–13-0.0418%27 Jul
inferno13–90.0111%27 Jul
ancient13–100.0516%29 Jun
alpine11–130.017%24 Jun
mirage9–13-0.0314%24 Jun
inferno13–6-0.0116%24 Jun
cache7–130.0629%22 Jun
anubis12–120.0814%22 Jun
inferno13–40.0223%22 Jun
train13–40.0513%21 Jun
nuke13–80.0411%21 Jun
anubis13–4-0.006%21 Jun
dust28–13-0.0314%21 Jun
mirage13–80.029%19 Jun
dust26–13-0.0411%18 Jun
mirage13–10-0.0116%18 Jun
inferno7–13-0.0519%18 Jun
cache13–8-0.059%17 Jun
train13–6-0.0110%17 Jun
train13–5-0.0110%17 Jun
nuke13–8-0.0219%16 Jun
anubis13–60.0614%16 Jun
office13–40.1713%12 Jun
anubis12–160.0214%10 Jun
ancient13–80.0510%10 Jun
inferno10–130.0012%10 Jun
anubis9–13-0.0119%10 Jun
cache13–100.0110%10 Jun
train13–60.1312%10 Jun
overpass9–13-0.078%9 Jun
vertigo6–13-0.0416%9 Jun
vertigo9–13-0.0317%9 Jun
mirage10–13-0.0515%9 Jun
cache13–60.0313%9 Jun
anubis10–13-0.0117%6 Jun
cache12–120.1111%6 Jun
nuke7–130.027%4 Jun
dust212–120.0117%4 Jun
vertigo13–9-0.0518%4 Jun
vertigo13–70.0621%4 Jun
ancient13–110.0114%3 Jun
inferno5–130.0214%3 Jun
ancient2–13-0.0220%3 Jun
inferno6–90.0518%3 Jun
nuke3–10.0622%3 Jun
anubis13–4-0.0314%3 Jun
overpass13–70.0415%3 Jun
mirage5–13-0.0614%3 Jun
cache11–13-0.0018%3 Jun
inferno3–13-0.0523%3 Jun
nuke13–20.1615%3 Jun
vertigo13–6-0.017%1 Jun
dust23–13-0.0410%1 Jun
cache11–130.0424%1 Jun
inferno8–13-0.0419%31 May
anubis10–13-0.0412%31 May
dust213–11-0.0212%25 May
nuke13–110.0316%23 May
anubis3–13-0.0516%18 May
train10–13-0.048%18 May
inferno10–130.0211%17 May
overpass7–3-0.0417%17 May
office8–13-0.0212%17 May
office6–13-0.0611%17 May
office13–30.038%16 May
nuke8–13-0.0212%15 May
office3–130.0312%15 May
office13–50.045%14 May

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 →