Maaaaaaaaaarge

Maaaaaaaaaarge — CS2 Stats

76561198708246874[U:1:747981146]Steam profile ↗✓ No bans

89Tracked matches37%Win rate2026Tracked since
85Hours in CS6Hrs last 2 wks
CSDB Rating4.4 DevelopingPassive Rifler
Premier CS Rating6,427Light Blue band · top ~72% of ranked players (population est.)
CSDB Leaderboard#40532 of 53640 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate52.6%39.7%41.4%above
Shot accuracy0.0%6.7%9.0%9.0% short
Kill/death ratio1.200.910.97above
Match win rate47.8%42.1%43.7%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

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

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CSDB.GGMaaaaaaaaaargePREMIER6,427 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning38
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY42424Last 8848%Win rateWWWLLLLWLW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating

Player DNA

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

Aim6.9
Aggression3.7
Utility4.2
Positioning3.8
Opening Duels1.4

Strong CT-side opener

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 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.9
Positioning3.8
Utility4.2
Mechanics8.1
Opening Duels1.6
Win Impact0.6

Composite 4.4/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time587ms−39ms
first ⅓ avg 626ms → last ⅓ avg 587ms
Headshot accuracy16.9%−0.7%
first ⅓ avg 17.7% → last ⅓ avg 16.9%

Rolling 5-match average across the last 88 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.17Best rating — inferno 9–0
130Biggest win — nuke
6Longest win streak
W3Current streak
53In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 74% over 23anubisWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2S2317674%-0.00
mirageC2281436%-0.01
anubisD1431121%0.01
infernoC83538%0.03
nukeB63350%0.01
cacheD62433%0.02
ancient440100%0.05
train31233%-0.04
vertigo110100%0.07
overpass1010%0.06

Across the last 88 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,528Lifetime kills
1.20K/D · Top 10% of Light Blue band
161Matches
47.8%Match win rate · Top 25% of Light Blue band
52.6%Headshot % · Top 10% of Light Blue band
0.0%Shot accuracy
402MVPs
42Hours (in match)
99Bombs planted
77Bombs defused

Most-used weapons

Lifetime map wins

373dust2
136inferno
93vertigo
68nuke
35train
1ar_baggage

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.

17.3%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.3%Spray accuracy
86.6%Counter-strafing
9.7°Preaim
580msReaction time
28.1%T opening success
43.1%CT opening success
0.35Enemies flashed / flash
5.4%Flash assists
8.06HE damage / grenade
6.62Flashes / 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. 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 0.3466 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 28.0996% — below the 40% mark we flag

Spend your practice time on Anubis

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–70.0127%30 Aug
anubis13–30.055%29 Aug
nuke13–110.0312%29 Aug
dust28–130.058%29 Aug
mirage8–13-0.0212%28 Aug
cache7–130.0120%27 Aug
mirage4–13-0.0720%27 Aug
mirage16–140.0418%22 Aug
mirage7–12-0.0410%15 Aug
inferno13–60.1223%15 Aug
mirage1–13-0.0612%15 Aug
anubis11–130.0220%13 Aug
mirage6–13-0.0123%13 Aug
anubis3–13-0.105%13 Aug
mirage13–16-0.0720%6 Aug
inferno6–13-0.0420%6 Aug
anubis3–130.1022%6 Aug
mirage8–13-0.0926%6 Aug
anubis13–30.0020%1 Aug
dust213–4-0.0321%29 Jul
dust213–10-0.0410%27 Jul
anubis10–130.0814%23 Jul
anubis5–13-0.0110%22 Jul
anubis2–13-0.079%22 Jul
mirage13–110.0526%20 Jul
cache10–13-0.0113%20 Jul
dust27–13-0.0625%20 Jul
anubis6–13-0.0418%20 Jul
mirage13–40.0422%18 Jul
nuke13–00.0827%18 Jul
anubis0–13-0.040%18 Jul
nuke8–130.0013%18 Jul
ancient13–8-0.028%18 Jul
inferno13–10-0.0414%18 Jul
dust210–13-0.0921%14 Jul
anubis0–50.0111%12 Jul
train8–7-0.0917%7 Jul
dust213–40.0322%7 Jul
dust213–10-0.0512%1 Jul
inferno9–00.17100%29 Jun
dust213–80.0813%26 Jun
mirage11–13-0.0212%26 Jun
dust26–13-0.1210%26 Jun
dust213–40.0614%26 Jun
inferno1–13-0.085%26 Jun
dust213–4-0.0016%20 Jun
ancient13–90.0715%20 Jun
mirage9–13-0.0315%20 Jun
nuke9–13-0.0014%20 Jun
dust213–50.0217%20 Jun
mirage9–13-0.069%19 Jun
nuke13–8-0.0318%19 Jun
anubis11–130.0111%19 Jun
mirage13–40.069%19 Jun
dust213–110.0412%19 Jun
mirage13–1-0.0313%19 Jun
mirage13–70.089%18 Jun
vertigo13–00.0719%18 Jun
dust213–40.0612%18 Jun
overpass12–120.0610%18 Jun
anubis9–130.0420%15 Jun
inferno9–130.0120%15 Jun
train1–13-0.0523%15 Jun
mirage12–120.0514%13 Jun
dust29–13-0.0016%13 Jun
dust213–6-0.047%13 Jun
ancient13–20.1318%13 Jun
inferno12–120.0622%5 Jun
mirage13–50.0527%5 Jun
ancient13–00.0228%29 May
inferno7–130.0313%25 May
dust213–9-0.0217%25 May
anubis13–50.0424%23 May
mirage10–13-0.0317%20 May
nuke12–12-0.0314%20 May
cache6–13-0.0213%17 May
mirage13–9-0.0018%16 May
mirage4–130.0213%11 May
train1–130.019%11 May
dust213–9-0.0219%11 May
cache4–13-0.0311%11 May
mirage6–130.0316%10 May
cache13–40.1415%10 May
dust213–6-0.0730%10 May
cache13–60.0114%10 May
dust213–40.0915%10 May
dust25–130.0525%9 May
dust213–30.0524%9 May

Match data via Leetify.

Recent teammates

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