mauno — CS2 Stats

76561198178235143[U:1:217969415]

503Tracked matches54%Win rate2020Tracked since
CSDB Rating6.4 SolidAggressive Rifler
Premier CS Rating22,703Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#6865 of 26425 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGmaunoFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER22,703 · Pink bandcsdb.gg/stats

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Performance scores

Aim86
Positioning54
Utility26

0–100 skill scores via Leetify.

Recent form

HOT55405Last 10055%Win rateTLWWWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression7.7
Utility2.6
Positioning5.4
Opening Duels3.0
Clutch0.0

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited utility dependence

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

b1t

Plays most like b1t 88% playstyle similarity

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

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 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.

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim8.6
Positioning5.4
Utility2.6
Mechanics8.6
Opening Duels3.0
Win Impact6.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time597ms−3ms
first ⅓ avg 600ms → last ⅓ avg 597ms
Headshot accuracy25.1%+2.7%
first ⅓ avg 22.4% → last ⅓ avg 25.1%

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

0.20Best rating — train 13–2
131Biggest win — cache
6Longest win streak
101In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%0.01
nukeA1912763%0.02
infernoC1881044%0.00
cacheA116555%0.01
ancientS96367%-0.02
vertigo43175%0.01
train42250%0.07
dust242250%-0.05
anubis21150%-0.00
debris110100%0.06
overpass110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

197Matches
53%Win rate
1.28Avg K/D
75.4ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%1.0515.4
Anubis367%1.0615.7
Dust2250%0.8012.0
Inferno250%0.6810.0
Ancient10%0.7311.0
Train10%0.5211.0

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.

24.6%Headshot accuracy
37.9%Accuracy (enemy spotted)
38.5%Spray accuracy
88.6%Counter-strafing
9.5°Preaim
594msReaction time
31.4%T opening success
52.6%CT opening success
0.47Enemies flashed / flash
2.9%Flash assists
6.75HE damage / grenade
2.65Flashes / 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 0.4712 — 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 31.392% — below the 40% mark we flag

Spend your practice time on Inferno

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0121%25 Aug
nuke6–130.0444%25 Aug
debris9–40.0636%25 Aug
nuke13–90.0536%22 Aug
inferno13–90.0237%22 Aug
mirage13–10-0.0125%22 Aug
inferno6–13-0.0725%22 Aug
mirage13–60.0717%22 Aug
vertigo13–70.0418%16 Aug
train13–20.2029%16 Aug
nuke13–80.0526%16 Aug
inferno7–13-0.0324%14 Aug
nuke13–11-0.0126%14 Aug
mirage5–13-0.058%11 Aug
cache3–13-0.0335%9 Aug
ancient13–10-0.0526%9 Aug
nuke5–130.0229%9 Aug
train9–130.0545%9 Aug
inferno7–13-0.0423%9 Aug
mirage13–100.0412%6 Aug
cache13–10.0713%6 Aug
ancient9–13-0.0112%6 Aug
nuke13–70.1633%3 Aug
nuke12–12-0.0225%3 Aug
anubis6–13-0.0721%3 Aug
mirage13–20.0414%3 Aug
mirage13–16-0.0120%31 Jul
dust213–100.0229%31 Jul
nuke10–13-0.0517%31 Jul
train13–80.0434%31 Jul
mirage4–13-0.0312%31 Jul
dust213–11-0.0626%31 Jul
train5–13-0.0133%30 Jul
inferno7–13-0.1017%30 Jul
mirage4–13-0.0231%30 Jul
inferno13–60.0923%30 Jul
vertigo8–130.0239%30 Jul
mirage13–7-0.0642%30 Jul
mirage13–40.0329%30 Jul
nuke12–12-0.0632%30 Jul
mirage4–40.0753%29 Jul
overpass13–60.0223%29 Jul
vertigo13–60.0128%29 Jul
cache13–40.0533%29 Jul
dust26–13-0.1012%29 Jul
nuke8–130.0348%29 Jul
nuke9–13-0.0322%29 Jul
anubis13–110.0719%25 Jul
mirage10–130.0327%25 Jul
ancient5–1-0.0713%25 Jul
cache4–13-0.0122%24 Jul
mirage3–9-0.0111%24 Jul
nuke13–40.0129%24 Jul
ancient5–00.1011%24 Jul
inferno4–130.0122%23 Jul
mirage13–40.0131%23 Jul
inferno2–13-0.059%23 Jul
mirage9–13-0.0022%23 Jul
ancient4–13-0.057%23 Jul
inferno13–110.0019%23 Jul
mirage11–13-0.0222%22 Jul
cache15–15-0.0914%22 Jul
mirage7–13-0.0124%22 Jul
nuke13–40.0822%21 Jul
ancient2–13-0.1024%21 Jul
nuke13–110.0616%21 Jul
inferno13–6-0.0413%20 Jul
mirage8–130.0421%20 Jul
cache13–30.0415%20 Jul
inferno10–130.0328%20 Jul
nuke13–8-0.0326%20 Jul
cache13–70.0128%20 Jul
nuke13–10-0.0221%20 Jul
nuke13–60.0818%20 Jul
ancient13–11-0.0319%20 Jul
mirage7–13-0.0615%20 Jul
mirage16–14-0.0413%20 Jul
inferno16–12-0.0116%20 Jul
dust24–13-0.0719%20 Jul
vertigo13–8-0.0324%20 Jul
mirage13–40.0722%20 Jul
inferno13–40.1435%20 Jul
inferno13–30.0728%19 Jul
mirage13–16-0.0317%19 Jul
inferno10–130.0113%19 Jul
mirage13–100.0318%19 Jul
inferno12–12-0.0429%18 Jul
mirage8–130.0524%17 Jul
cache13–60.0122%17 Jul
mirage7–130.0618%17 Jul
cache5–13-0.0025%17 Jul
ancient13–110.0015%17 Jul
inferno13–110.0616%17 Jul
inferno10–130.0228%16 Jul
nuke13–8-0.0334%16 Jul
ancient13–9-0.0033%16 Jul
mirage13–60.0339%16 Jul
nuke13–60.1223%16 Jul
mirage13–7-0.0017%16 Jul
cache13–100.0720%16 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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