mauno

mauno — CS2 Stats

76561198178235143[U:1:217969415]Steam profile ↗✓ No bans

503Tracked matches54%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating22,703Top 25% of 212,910 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47149 of 259776 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 503 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,703 +829 16 Jul – 19 Sept · 19 days played
21,87423,773peak 23,77316 Jul19 Sept
24,096Peak Premier in tracked matches
21Days played since 2026-07-16

Premier CS Rating

  • 1,070 below peak (23,773)
  • -347 over 30 days · steady
  • Next: Red band at 25,000 — 2,297 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

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

HOT55–40–5Last 10055%Win rateTLWWWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +3.5pp headshot accuracy · +16ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 35%
  • Avg reaction 614ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 575ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 567ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim8.6
Utility2.6
Positioning5.4
Opening Duels4.0
Clutch0.0

Sharp aimerExcellent counter-strafingLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 87% playstyle similarity

Most alike: aim profile, positioning profile.

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

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.

Personal bests

0.20Best match rating · 13–2 · train, 16 Aug →
53%Best headshot accuracy · 4–4 · mirage, 29 Jul →
414msFastest reaction time · 3–9 · mirage, 24 Jul →
13–1Biggest win · cache, 6 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–1In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%0.01
nukeA1912–763%0.02
infernoC188–1044%0.00
cacheA116–555%0.01
ancientS96–367%-0.02
vertigo—43–175%0.01
train—42–250%0.07
dust2—42–250%-0.05
anubis—21–150%-0.00
debris—11–0100%0.06
overpass—11–0100%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 & strategy →Inferno 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
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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