MAXI — CS2 Stats

76561198003658171[U:1:43392443]

1,305Tracked matches43%Win rate2022Tracked since
1,010Hours in CS
CSDB Rating5.0 Developing
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGMAXIFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning52
Utility52

0–100 skill scores via Leetify.

Recent form

COLD43507Last 10043%Win rateLWLLWLLLLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Aim5.7
Aggression3.7
Utility5.2
Positioning5.2
Opening Duels0.5
Clutch4.0

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Reaction time. 629ms 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

Aim5.7
Positioning5.2
Utility5.2
Mechanics7.8
Opening Duels0.5
Win Impact2.6

Composite 5.0/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time642ms−21ms
first ⅓ avg 662ms → last ⅓ avg 642ms
Headshot accuracy19.7%−2.5%
first ⅓ avg 22.2% → last ⅓ avg 19.7%

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

0.10Best rating — overpass 9–5
130Biggest win — inferno
4Longest win streak
59In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 57% over 7dust2Weakest map · 17% over 18
MapGradePlayedRecordWin rateAvg rating
infernoB21111052%-0.04
dust2D1831517%-0.03
nukeC1881044%-0.01
ancientA169756%-0.02
mirageD103730%-0.03
anubisA74357%-0.03
train32167%0.01
cache21150%-0.03
vertigo21150%0.02
overpass21150%0.05
palacio1010%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,658Lifetime kills
0.84K/D
3,138Matches
43.8%Match win rate
48.7%Headshot % · Top 50% of tracked players
10.4%Shot accuracy
5,514MVPs
1,010Hours (in match)
2,069Bombs planted
1,336Bombs defused

Most-used weapons

Lifetime map wins

4,407inferno
3,442dust2
3,439nuke
2,023vertigo
898train
139cbble
37lake
19ar_shoots

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

Faceit stats

Combat

118Matches
52%Win rate
0.82Avg K/D
65.2ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage729%0.8510.6
Dust2580%1.3313.4
Ancient560%0.8815.4
Inferno450%0.668.8
Anubis40%0.6910.5
Nuke333%1.0014.3

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.

19.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
33.4%Spray accuracy
85.0%Counter-strafing
11.4°Preaim
629msReaction time
30.0%T opening success
34.0%CT opening success
0.60Enemies flashed / flash
19.1%Flash assists
7.89HE damage / grenade
4.54Flashes / 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 29.9865% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0417%31 Jul
anubis13–80.0515%31 Jul
mirage7–13-0.0427%31 Jul
inferno8–13-0.0521%31 Jul
ancient13–11-0.0629%31 Jul
dust26–13-0.0623%31 Jul
nuke2–13-0.0316%31 Jul
dust27–130.0322%30 Jul
mirage12–16-0.0215%30 Jul
ancient7–13-0.049%30 Jul
nuke13–100.0123%30 Jul
inferno5–13-0.0836%30 Jul
cache13–7-0.0212%30 Jul
ancient13–40.0224%29 May
dust211–13-0.0932%29 May
inferno13–1-0.0436%29 May
mirage10–13-0.0714%30 Mar
inferno13–8-0.0326%27 Mar
ancient13–80.0213%27 Mar
inferno0–13-0.0615%20 Mar
mirage2–13-0.0615%20 Mar
nuke15–15-0.0414%17 Mar
nuke13–100.0417%16 Mar
nuke13–9-0.0315%15 Mar
dust27–13-0.0719%14 Mar
anubis13–5-0.0515%14 Mar
ancient15–15-0.0715%14 Mar
dust23–13-0.1028%14 Mar
inferno13–40.017%14 Mar
inferno12–16-0.0514%12 Mar
ancient14–16-0.0123%12 Mar
dust21–13-0.0425%12 Mar
nuke15–15-0.0018%12 Mar
dust27–13-0.0518%12 Mar
anubis10–13-0.0228%21 Feb
dust22–13-0.0626%19 Feb
inferno13–6-0.0736%19 Feb
mirage4–13-0.1117%14 Feb
ancient13–10-0.0415%14 Feb
dust24–13-0.0822%14 Feb
inferno13–8-0.0224%13 Feb
nuke11–130.0321%13 Feb
inferno13–8-0.0430%7 Feb
nuke5–13-0.0728%6 Feb
ancient13–40.0429%6 Feb
nuke13–16-0.0218%6 Feb
inferno13–6-0.0616%6 Feb
train13–6-0.078%17 Jan
vertigo9–130.000%16 Jan
nuke15–15-0.0526%16 Jan
mirage13–80.0817%16 Jan
dust211–130.0126%16 Jan
overpass9–50.1013%16 Jan
nuke11–13-0.0418%11 Jan
ancient16–14-0.0619%11 Jan
anubis3–13-0.0813%10 Jan
train2–30.0340%9 Jan
nuke13–11-0.0133%9 Jan
ancient10–13-0.0023%9 Jan
ancient14–16-0.0721%5 Jan
dust213–5-0.0115%5 Jan
dust212–20.0213%5 Jan
anubis13–11-0.0311%1 Jan
vertigo9–30.0426%1 Jan
overpass8–8-0.0129%1 Jan
nuke8–8-0.0119%1 Jan
inferno6–9-0.0223%1 Jan
nuke3–13-0.0918%1 Jan
ancient0–13-0.0011%1 Jan
inferno13–7-0.0728%13 Dec
dust27–13-0.0425%13 Dec
mirage16–14-0.0119%13 Dec
inferno6–13-0.0130%13 Dec
nuke13–80.0328%12 Dec
inferno13–00.0150%12 Dec
anubis13–9-0.0725%12 Dec
inferno5–9-0.0233%6 Dec
dust211–130.0228%6 Dec
dust24–130.0427%6 Dec
palacio4–13-0.0120%2 Dec
ancient13–9-0.0033%2 Dec
ancient15–15-0.0119%30 Nov
mirage13–8-0.0415%30 Nov
inferno9–6-0.0617%29 Nov
mirage5–13-0.0029%28 Nov
dust26–13-0.0415%28 Nov
inferno9–13-0.0118%28 Nov
nuke13–8-0.0120%27 Nov
nuke13–7-0.0118%27 Nov
ancient13–10-0.0434%27 Nov
mirage9–13-0.0824%26 Nov
ancient13–6-0.0115%26 Nov
nuke13–60.0314%26 Nov
inferno13–20.0213%26 Nov
dust23–13-0.056%26 Nov
train13–90.0514%22 Nov
inferno4–13-0.0513%22 Nov
inferno7–13-0.0719%16 Nov
dust213–10-0.0224%16 Nov
anubis4–13-0.0130%15 Nov

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 →