Mao — CS2 Stats

76561199552919299[U:1:1592653571]

183Tracked matches37%Win rate2024Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating13,732Blue band · top ~35.1% of ranked players (population est.)
CSDB Leaderboard#15602 of 23267 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGMaoPREMIER13,732 · Blue bandcsdb.gg/stats

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Performance scores

Aim84
Positioning46
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY45469Last 10045%Win rateLTLWWWWLWL

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

Player DNA

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

Aim8.4
Aggression3.5
Utility3.3
Positioning4.6
Opening Duels0.0
Clutch0.0

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 83% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower opening-duel success; lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 609ms 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

Aim8.4
Positioning4.6
Utility3.3
Mechanics7.7
Opening Duels0.1
Win Impact0.7

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time555ms−90ms
first ⅓ avg 645ms → last ⅓ avg 555ms
Headshot accuracy39.4%+2.7%
first ⅓ avg 36.7% → last ⅓ avg 39.4%

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

0.25Best rating — inferno 9–4
131Biggest win — mirage
6Longest win streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 50% over 34ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB34171750%-0.00
nukeB21101148%-0.00
mirageB2091145%-0.01
dust2D113827%-0.02
ancientD51420%-0.04
cacheC52340%-0.05
anubis21150%0.01
boulder110100%0.04
overpass110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.86Avg K/D
92.5ADR
67%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

34.5%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.1%Spray accuracy
84.9%Counter-strafing
10.2°Preaim
609msReaction time
25.3%T opening success
30.7%CT opening success
0.63Enemies flashed / flash
2.1%Flash assists
3.95HE damage / grenade
8.03Flashes / 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 25.3363% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0133%28 Aug
dust212–120.1037%28 Aug
inferno2–9-0.1530%28 Aug
inferno9–20.0950%28 Aug
nuke9–70.0638%28 Aug
nuke9–50.0633%28 Aug
dust213–11-0.0322%28 Aug
nuke5–70.0441%28 Aug
boulder13–50.0450%28 Aug
inferno3–9-0.0936%27 Aug
nuke6–13-0.0625%27 Aug
mirage13–9-0.0046%27 Aug
nuke13–20.0683%27 Aug
mirage13–90.0347%27 Aug
inferno6–9-0.1129%27 Aug
inferno7–13-0.0355%25 Aug
inferno9–4-0.0248%25 Aug
inferno6–9-0.1023%24 Aug
inferno9–50.0836%23 Aug
inferno9–20.1432%23 Aug
mirage7–130.0123%17 Aug
inferno6–9-0.0947%17 Aug
nuke6–13-0.0529%11 Aug
mirage12–12-0.0233%11 Aug
inferno9–70.1232%11 Aug
inferno6–90.0633%11 Aug
inferno8–80.1342%10 Aug
inferno9–6-0.137%10 Aug
mirage10–13-0.0120%10 Aug
inferno9–60.1158%10 Aug
inferno9–5-0.0667%10 Aug
inferno3–9-0.0467%10 Aug
mirage13–10-0.0550%9 Aug
inferno9–7-0.0531%9 Aug
inferno5–9-0.0633%9 Aug
ancient10–13-0.0746%9 Aug
nuke4–9-0.0543%9 Aug
inferno2–9-0.1760%9 Aug
mirage9–13-0.0230%9 Aug
inferno9–40.2552%9 Aug
inferno9–30.1221%9 Aug
inferno8–80.0326%8 Aug
inferno9–40.1145%8 Aug
dust22–13-0.0629%8 Aug
mirage13–4-0.0215%8 Aug
inferno13–9-0.0621%7 Aug
dust210–130.0236%7 Aug
mirage13–10.2538%7 Aug
anubis13–100.0426%4 Aug
cache12–12-0.0618%3 Aug
inferno8–13-0.0728%3 Aug
nuke9–130.0028%2 Aug
dust213–16-0.0631%2 Aug
inferno8–13-0.0539%2 Aug
ancient8–13-0.0240%1 Aug
ancient10–13-0.0234%1 Aug
nuke16–140.0147%1 Aug
nuke13–20.0560%1 Aug
cache0–9-0.0725%1 Aug
dust29–13-0.0723%1 Aug
mirage10–13-0.0129%1 Aug
nuke5–13-0.0328%1 Aug
anubis9–13-0.0237%31 Jul
nuke16–12-0.0436%31 Jul
ancient6–13-0.0922%31 Jul
inferno2–9-0.1638%27 Jul
nuke5–13-0.0921%27 Jul
nuke13–80.0235%26 Jul
ancient13–11-0.0031%26 Jul
cache13–9-0.0216%26 Jul
cache15–15-0.0528%26 Jul
dust210–13-0.0341%26 Jul
mirage3–13-0.0729%25 Jul
inferno9–30.1232%25 Jul
nuke8–8-0.0535%25 Jul
mirage4–13-0.0646%24 Jul
inferno9–30.0842%23 Jul
dust214–16-0.0737%15 Jul
dust213–100.0542%15 Jul
mirage13–30.0439%13 Jul
mirage13–7-0.0328%13 Jul
cache13–8-0.0440%12 Jul
mirage13–80.0749%12 Jul
dust213–1-0.0358%12 Jul
inferno7–9-0.0738%12 Jul
inferno1–9-0.1636%4 Jul
nuke8–80.0473%4 Jul
mirage4–13-0.0347%3 Jul
mirage11–13-0.0721%26 Jun
mirage13–11-0.0126%23 Jun
nuke13–50.0338%23 Jun
inferno9–70.0332%23 Jun
inferno9–40.0919%14 Jun
nuke8–8-0.1016%7 Jun
mirage14–16-0.0440%7 Jun
nuke9–13-0.0438%24 May
nuke13–7-0.0143%23 May
mirage6–13-0.0824%10 May
nuke13–90.0851%10 May
overpass13–5-0.0340%10 May

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 →