Mauno

Mauno — CS2 Stats

76561198007685575[U:1:47419847]Steam profile ↗✓ No bans

2,291Tracked matches50%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating25,805Top 10% of 204,793 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#13969 of 251931 tracked
FaceitLevel 8 · 1,839 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,805 +1,972 27 Jul – 14 Oct · 36 days played
23,83326,379peak 26,37927 Jul14 Oct
Faceit ELO: 1,839 +0 30 Aug – 25 Sept · 4 observations
1,8391,839peak 1,83930 Aug25 Sept
26,429Peak Premier in tracked matches
1,839Highest Faceit ELO seen on CSDB
39Days played since 2026-07-27

Faceit ELO

  • At peak — 1,839
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 162 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

Premier CS Rating

  • 574 below peak (26,379)
  • -294 over 30 days · steady
  • +1,972 over 90 days
  • Next: Gold band at 30,000 — 4,195 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMaunoFACEITLevel 8 · 1,839 ELOSTANDINGTop 31.2% of rankedPREMIER25,805 · Red band30 DAYS0 ELOPEAK ELO1,839csdb.gg/stats

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Performance scores

Aim64
Positioning49
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLLWLWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +7.7pp headshot accuracy · −102ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 34%
  • Avg reaction 608ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 29%
  • Avg reaction 617ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 668ms

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 (+1.3 against its own average).

Aim6.4
Utility4.0
Positioning4.9
Opening Duels1.5
Clutch4.0

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

CT openings. Opening success drops from 53% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 651ms 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

Aim6.4
Positioning4.9
Utility4.0
Mechanics7.6
Opening Duels3.6
Win Impact5.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time658ms+73ms
first ⅓ avg 585ms → last ⅓ avg 658ms
Headshot accuracy23.6%+0.6%
first ⅓ avg 23.0% → last ⅓ avg 23.6%

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

0.12Best match rating · 13–5 · anubis, 17 Aug →
47%Best headshot accuracy · 1–13 · inferno, 31 Jul →
367msFastest reaction time · 1–1 · cache, 6 Sept →
13–1Biggest win · cache, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 71% over 7anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
cacheC2611–1542%-0.02
dust2C198–1142%-0.02
ancientS139–469%-0.00
infernoA138–562%0.01
anubisD124–833%-0.00
nukeS75–271%0.03
mirageD62–433%-0.05
train—31–233%-0.02
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,521Matches
50%Win rate
0.96Avg K/D
78.0ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient7749%0.9415.4
Mirage7352%0.9914.9
Nuke6952%1.1216.4
Inferno6448%1.0215.7
Anubis5544%0.9014.2
Dust22741%0.9714.5
Train1040%0.8112.9
Overpass875%1.2214.8

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.

23.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
32.3%Spray accuracy
84.2%Counter-strafing
11.3°Preaim
651msReaction time
53.3%T opening success
35.2%CT opening success
0.47Enemies flashed / flash
2.8%Flash assists
6.36HE damage / grenade
5.91Flashes / 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 0.4744 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.2367% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0447%14 Oct →
nuke11–13-0.1016%11 Oct →
cache13–9-0.0527%11 Oct →
dust25–13-0.1035%11 Oct →
cache13–30.0344%11 Oct →
mirage1–13-0.0733%9 Oct →
train9–13-0.0123%7 Oct →
train13–90.0320%7 Oct →
ancient13–9-0.0417%6 Oct →
inferno13–11-0.0327%5 Oct →
ancient13–100.0816%5 Oct →
dust213–11-0.0432%5 Oct →
anubis15–15-0.0827%5 Oct →
dust213–8-0.0324%3 Oct →
dust21–13-0.0825%3 Oct →
mirage0–13-0.1314%3 Oct →
anubis6–13-0.0624%2 Oct →
mirage10–13-0.0423%2 Oct →
cache5–13-0.0714%2 Oct →
ancient16–13-0.0311%2 Oct →
dust213–70.0320%2 Oct →
cache13–1-0.0712%1 Oct →
dust213–6-0.0520%1 Oct →
cache15–15-0.0518%27 Sept →
cache16–130.0337%26 Sept →
inferno13–10.0127%26 Sept →
anubis6–13-0.0530%26 Sept →
dust29–130.0129%26 Sept →
dust23–13-0.0523%26 Sept →
ancient12–16-0.0511%26 Sept →
cache15–15-0.0513%26 Sept →
ancient7–13-0.0519%25 Sept →
cache7–13-0.0921%24 Sept →
cache10–13-0.0415%24 Sept →
ancient11–13-0.0418%20 Sept →
ancient13–10-0.0424%20 Sept →
ancient10–13-0.0222%9 Sept →
anubis15–15-0.0117%7 Sept →
inferno13–110.0228%7 Sept →
cache6–13-0.0328%7 Sept →
nuke13–30.0927%7 Sept →
cache10–130.0124%6 Sept →
cache9–13-0.0124%6 Sept →
cache1–1-0.050%6 Sept →
dust211–130.0130%6 Sept →
dust213–11-0.0216%5 Sept →
cache4–13-0.0234%5 Sept →
ancient16–14-0.0124%4 Sept →
dust29–13-0.0532%4 Sept →
nuke13–40.0836%28 Aug →
anubis10–130.0524%26 Aug →
mirage13–11-0.0319%23 Aug →
ancient13–70.0922%22 Aug →
cache13–80.0526%22 Aug →
dust210–130.0124%22 Aug →
anubis8–13-0.0214%22 Aug →
inferno13–40.0716%22 Aug →
cache10–13-0.0616%22 Aug →
mirage13–7-0.0220%21 Aug →
inferno9–13-0.0321%21 Aug →
cache4–130.0426%20 Aug →
dust216–140.0325%20 Aug →
mirage12–16-0.0225%20 Aug →
anubis13–8-0.0017%18 Aug →
dust213–90.0123%18 Aug →
cache7–13-0.0516%17 Aug →
ancient13–70.0320%17 Aug →
cache5–13-0.0218%17 Aug →
anubis13–50.1223%17 Aug →
cache6–13-0.0330%16 Aug →
nuke13–40.0329%16 Aug →
nuke9–13-0.0231%15 Aug →
anubis13–5-0.0433%15 Aug →
inferno13–10.0927%15 Aug →
ancient13–110.0018%15 Aug →
cache13–30.0019%13 Aug →
dust27–13-0.0211%13 Aug →
inferno13–9-0.068%13 Aug →
ancient13–80.0222%12 Aug →
dust213–90.0624%12 Aug →
anubis15–150.0020%10 Aug →
inferno15–150.0020%10 Aug →
dust22–13-0.018%10 Aug →
inferno11–130.0127%9 Aug →
cache13–7-0.0235%9 Aug →
cache13–8-0.0425%8 Aug →
vertigo12–12-0.0317%7 Aug →
anubis13–60.0816%7 Aug →
train7–13-0.0832%7 Aug →
dust27–13-0.0216%4 Aug →
cache13–30.0134%1 Aug →
inferno13–20.0839%1 Aug →
dust210–13-0.0814%1 Aug →
inferno9–13-0.0112%1 Aug →
nuke13–80.0313%1 Aug →
cache13–4-0.0323%31 Jul →
inferno1–13-0.0747%31 Jul →
nuke13–40.0926%31 Jul →
inferno13–8-0.0319%31 Jul →
cache5–13-0.0123%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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