MLG Mango

MLG Mango — CS2 Stats

CA76561198200152295[U:1:239886567]Steam profile ↗✓ No bans

841Tracked matches37%Win rate2020Tracked since
CSDB Rating4.7 Developing
Premier CS Rating19,000Purple band · top ~12.5% of ranked players (population est.)
CSDB Leaderboard#9501 of 19331 tracked
FaceitLevel 7 · 1,353 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMLG MangoFACEITLevel 7 · 1,353 ELOSTANDINGTop 42.3% of rankedPREMIER19,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning39
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY45541Last 10045%Win rateLLWLLLWWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim5.8
Aggression2.0
Utility5.8
Positioning3.9
Opening Duels0.4
Clutch0.8

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: utility contribution, opening-duel success.

Where you differ: lower 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

T-side openings. Opening success drops from 47% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim5.8
Positioning3.9
Utility5.8
Mechanics7.0
Opening Duels2.1
Win Impact0.6

Composite 4.7/10 (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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time607ms−4ms
first ⅓ avg 611ms → last ⅓ avg 607ms
Headshot accuracy16.8%−2.0%
first ⅓ avg 18.8% → last ⅓ avg 16.8%

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

0.07Best rating — inferno 10–13
131Biggest win — anubis
8Longest win streak
L2Current streak
49In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 21nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2291341%-0.02
cacheS2114767%-0.01
mirageC1661038%-0.03
infernoD1551033%-0.03
ancientB105550%-0.02
anubisB84450%-0.02
nukeD72529%-0.03
office1010%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

87Matches
47%Win rate
0.98Avg K/D
83.7ADR
45%Headshot %

Clutches & streaks

24%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1060%0.9214.8
Inferno838%0.9814.4
Dust2633%1.3516.0
Nuke425%0.8215.8
Ancient475%1.0518.3
Train1100%1.1425.0
Overpass1100%1.2515.0

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.

14.2%Headshot accuracy
32.0%Accuracy (enemy spotted)
36.7%Spray accuracy
81.6%Counter-strafing
10.6°Preaim
598msReaction time
16.0%T opening success
47.0%CT opening success
0.67Enemies flashed / flash
5.6%Flash assists
10.81HE damage / grenade
7.66Flashes / 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. 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 14.2289% — below the 15% mark we flag

    Aim Training
  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 16.0285% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–10-0.0325%26 Aug
inferno7–13-0.0318%26 Aug
ancient8–1-0.020%23 Aug
nuke0–3-0.00100%23 Aug
cache9–130.0020%23 Aug
mirage11–13-0.0111%23 Aug
inferno13–7-0.0314%22 Aug
anubis13–10.040%22 Aug
mirage13–4-0.0214%22 Aug
cache10–13-0.0116%22 Aug
ancient13–90.0327%21 Aug
mirage4–12-0.0810%21 Aug
cache13–70.0514%21 Aug
anubis6–13-0.0517%20 Aug
inferno13–110.0521%20 Aug
dust211–13-0.0411%19 Aug
dust21–13-0.0510%19 Aug
inferno8–13-0.047%19 Aug
dust211–13-0.0510%18 Aug
dust28–130.0221%18 Aug
mirage3–13-0.046%18 Aug
cache13–40.0418%18 Aug
inferno2–13-0.0920%17 Aug
dust28–130.017%17 Aug
nuke8–13-0.0413%17 Aug
inferno8–13-0.093%17 Aug
mirage10–13-0.0114%17 Aug
mirage16–14-0.0017%17 Aug
cache13–8-0.0414%17 Aug
mirage16–12-0.0113%17 Aug
dust20–13-0.0225%16 Aug
ancient11–13-0.0114%16 Aug
mirage13–80.0124%16 Aug
cache8–13-0.0413%16 Aug
cache16–130.0617%16 Aug
dust29–130.0022%16 Aug
dust213–1-0.0332%16 Aug
cache4–130.0117%16 Aug
anubis13–9-0.0118%16 Aug
ancient5–13-0.0113%16 Aug
inferno10–130.0717%16 Aug
nuke8–13-0.0317%16 Aug
inferno3–13-0.0832%15 Aug
mirage8–13-0.0717%15 Aug
ancient13–6-0.0423%15 Aug
dust213–100.0116%14 Aug
dust213–11-0.0422%13 Aug
cache13–4-0.0227%13 Aug
cache13–9-0.0131%12 Aug
dust216–13-0.0023%10 Aug
cache13–4-0.0810%10 Aug
dust29–10.024%10 Aug
ancient7–13-0.0223%10 Aug
inferno13–8-0.0212%10 Aug
dust211–13-0.0314%10 Aug
dust216–14-0.066%9 Aug
dust28–13-0.0726%9 Aug
nuke13–8-0.0115%9 Aug
ancient6–13-0.0118%9 Aug
inferno13–6-0.027%9 Aug
ancient11–13-0.0532%9 Aug
dust213–90.0013%9 Aug
mirage7–13-0.0635%6 Aug
dust24–13-0.0616%6 Aug
cache13–9-0.0118%4 Aug
cache13–7-0.0613%4 Aug
dust215–15-0.0028%4 Aug
anubis10–13-0.0217%4 Aug
dust213–10-0.0420%4 Aug
cache11–13-0.0132%4 Aug
ancient13–5-0.0127%4 Aug
inferno13–9-0.0214%3 Aug
anubis13–50.0418%3 Aug
inferno3–13-0.0312%3 Aug
cache16–120.0025%3 Aug
inferno8–13-0.0614%3 Aug
anubis1–13-0.0517%3 Aug
mirage7–13-0.0223%3 Aug
nuke13–4-0.0325%3 Aug
nuke4–13-0.0518%3 Aug
inferno6–13-0.0712%2 Aug
nuke14–16-0.0515%2 Aug
anubis10–13-0.0523%2 Aug
mirage5–130.0218%2 Aug
cache13–50.0425%2 Aug
dust216–13-0.0111%2 Aug
cache13–9-0.0528%2 Aug
mirage14–16-0.0315%2 Aug
inferno3–13-0.0128%2 Aug
mirage13–6-0.0518%2 Aug
office10–13-0.039%1 Aug
mirage7–13-0.0615%1 Aug
cache13–10-0.0513%1 Aug
cache5–13-0.0516%1 Aug
mirage13–5-0.0211%1 Aug
cache13–80.0121%27 Jul
ancient13–10-0.0015%27 Jul
cache8–130.0621%26 Jul
dust23–130.0338%26 Jul
anubis13–8-0.074%26 Jul

Match data via Leetify.

Milestones

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