akimbo — CS2 Stats

76561198078120370[U:1:117854642]✓ No bans

472Tracked matches54%Win rate2024Tracked since
503Hours in CS
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating17,440Purple band · top ~18.7% of ranked players (population est.)
CSDB Leaderboard#18363 of 34740 tracked
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.0%44.1%47.2%8.2% short
Shot accuracy10.5%11.4%12.7%2.2% short
Kill/death ratio1.031.031.090.05 short
Match win rate41.6%45.2%46.6%5.0% short

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

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

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CSDB.GGakimboPREMIER17,440 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning57
Utility47

0–100 skill scores via Leetify.

Recent form

COLD51454Last 10051%Win rateLLLLLLWWWT

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression8.4
Utility4.7
Positioning5.7
Opening Duels4.1

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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. 638ms 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

Aim6.8
Positioning5.7
Utility4.7
Mechanics5.1
Opening Duels4.1
Win Impact6.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time640ms−16ms
first ⅓ avg 656ms → last ⅓ avg 640ms
Headshot accuracy25.7%+2.9%
first ⅓ avg 22.8% → last ⅓ avg 25.7%

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.

Highlights

0.14Best rating — ancient 13–3
132Biggest win — mirage
6Longest win streak
L6Current streak
28In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 64% over 14ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2012860%0.02
dust2B178947%0.02
anubisA149564%0.04
ancientC135838%0.03
infernoC125742%0.00
nukeB105550%0.02
cacheC83538%0.01
train32167%0.03
overpass32167%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,299Lifetime kills
1.03K/D · Top 50% of Purple band
1,513Matches
41.6%Match win rate
39.0%Headshot %
10.5%Shot accuracy
2,906MVPs
503Hours (in match)
1,020Bombs planted
294Bombs defused

Most-used weapons

Lifetime map wins

3,118dust2
1,435nuke
1,141inferno
405vertigo
344train
220office
111cbble
44dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.4%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.9%Spray accuracy
73.0%Counter-strafing
10.7°Preaim
638msReaction time
38.8%T opening success
53.7%CT opening success
0.57Enemies flashed / flash
7.7%Flash assists
6.37HE damage / grenade
10.12Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.7983% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
train5–130.0226%14 Aug
dust26–13-0.0331%14 Aug
mirage3–130.0118%14 Aug
mirage9–13-0.0428%14 Aug
ancient7–13-0.0326%12 Aug
ancient6–13-0.0422%12 Aug
nuke13–100.0415%9 Aug
mirage13–20.0226%9 Aug
nuke13–40.0231%8 Aug
inferno15–150.0219%30 Jul
dust213–20.0218%30 Jul
inferno8–80.0019%30 Jul
mirage8–13-0.0118%29 Jul
dust210–130.0721%22 Jul
dust210–13-0.0221%22 Jul
mirage14–16-0.0016%22 Jul
dust213–70.0336%21 Jul
inferno13–100.0220%21 Jul
cache13–40.0229%16 Jul
anubis13–90.1028%16 Jul
nuke11–130.0211%15 Jul
mirage13–10-0.0024%14 Jul
mirage13–3-0.0331%13 Jul
ancient13–100.0325%13 Jul
anubis13–30.1047%13 Jul
inferno13–90.0322%13 Jul
dust215–15-0.0121%12 Jul
cache4–13-0.0224%12 Jul
dust213–40.0521%12 Jul
mirage6–13-0.0429%12 Jul
mirage13–50.0750%12 Jul
ancient13–30.1436%12 Jul
dust25–13-0.0139%12 Jul
anubis10–130.0125%12 Jul
nuke1–7-0.0238%12 Jul
anubis3–130.0242%10 Jul
anubis13–50.1028%10 Jul
cache9–13-0.0121%9 Jul
mirage11–13-0.0156%9 Jul
cache7–00.0733%9 Jul
inferno16–14-0.0149%6 Jul
mirage13–90.0242%6 Jul
mirage13–40.1328%6 Jul
nuke13–100.0628%25 Jun
dust213–50.0332%25 Jun
mirage4–130.0431%25 Jun
nuke13–3-0.0333%25 Jun
ancient5–130.0126%25 Jun
mirage13–60.0826%17 Jun
anubis16–13-0.0213%17 Jun
dust213–3-0.0222%17 Jun
anubis13–80.0224%10 Jun
dust213–100.0320%10 Jun
ancient9–130.039%10 Jun
overpass10–130.0320%10 Jun
inferno3–11-0.0413%10 Jun
overpass13–60.0716%3 Jun
anubis13–5-0.018%3 Jun
ancient10–130.0118%3 Jun
inferno8–13-0.0020%29 May
anubis11–130.018%29 May
anubis13–70.0312%28 May
ancient4–130.1226%27 May
ancient16–130.0322%24 May
dust210–130.0321%24 May
anubis16–120.1021%24 May
ancient7–130.0726%23 May
dust213–20.0713%23 May
inferno13–9-0.0123%20 May
dust28–13-0.0127%20 May
mirage13–70.1027%20 May
nuke5–130.0126%16 May
mirage13–100.0329%16 May
nuke5–130.0417%16 May
dust212–160.0114%13 May
ancient12–120.0227%13 May
cache13–50.0332%13 May
mirage16–120.0325%12 May
inferno16–140.0617%11 May
nuke14–160.0030%7 May
overpass13–90.1217%7 May
anubis14–160.0814%7 May
cache11–130.0526%6 May
mirage13–70.0029%6 May
dust210–13-0.0118%4 May
anubis11–130.0320%4 May
nuke13–20.0623%4 May
ancient13–60.0418%4 May
anubis13–70.0322%3 May
inferno5–130.0132%3 May
cache7–13-0.0131%30 Apr
ancient13–80.0120%29 Apr
cache9–13-0.0224%28 Apr
train13–50.0516%26 Apr
train13–90.0129%22 Apr
inferno2–13-0.0424%18 Apr
mirage12–16-0.0432%18 Apr
mirage13–70.0217%18 Apr
dust216–130.0520%15 Apr
inferno13–160.0017%14 Apr

Match data via Leetify.

Recent teammates

Milestones

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