maunogan

maunogan — CS2 Stats

76561198347252347[U:1:386986619]Steam profile ↗✓ No bans

1,043Tracked matches48%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating12,170Blue band · top ~43.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 days ago). 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: 12,170 +96 5 Sept – 13 Oct · 13 days played
12,05512,874peak 12,8745 Sept13 Oct
13,277Peak Premier in tracked matches
22Days played since 2026-09-05

Premier CS Rating

  • 704 below peak (12,874)
  • -687 over 30 days · declining
  • Next: Purple band at 15,000 — 2,830 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

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

Share this profile

CSDB.GGmaunoganFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,170 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning46
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLWLWLLLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +3.9pp headshot accuracy · +1ms 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 -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 512ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 536ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 535ms

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: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim5.2
Utility6.8
Positioning4.6
Opening Duels0.2
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

Twistzz

Plays most like Twistzz 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2
Positioning4.6
Utility6.8
Mechanics3.3
Opening Duels0.0
Win Impact4.4

Composite 4.2/10 (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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time559ms−13ms
first ⅓ avg 572ms → last ⅓ avg 559ms
Headshot accuracy13.0%+0.6%
first ⅓ avg 12.4% → last ⅓ avg 13.0%

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

0.17Best match rating · 9–2 · inferno, 14 Sept →
27%Best headshot accuracy · 13–10 · ancient, 24 Sept →
406msFastest reaction time · 5–13 · nuke, 13 Oct →
13–0Biggest win · nuke, 13 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–12In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 62% over 13anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC188–1044%-0.01
mirageB147–750%-0.00
nukeB136–746%-0.03
cacheA138–562%-0.00
ancientC135–838%-0.01
dust2D103–730%-0.01
anubisD102–820%-0.01
vertigo—32–167%0.03
overpass—32–167%-0.03
train—21–150%-0.03
eldorado—10–10%-0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

99Matches
48%Win rate
0.95Avg K/D
71.5ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
7%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2055%1.0814.3
Mirage1942%0.9614.3
Anubis1553%0.7814.2
Inferno1436%0.9813.4
Cache1267%1.0214.3
Ancient967%1.0912.7
Dust2520%0.7511.2

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.

13.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
40.7%Spray accuracy
64.7%Counter-strafing
10.4°Preaim
563msReaction time
24.2%T opening success
30.2%CT opening success
0.55Enemies flashed / flash
8.3%Flash assists
6.58HE damage / grenade
21.39Flashes / 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 13.0414% — 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 24.1758% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0611%13 Oct →
inferno13–6-0.0211%13 Oct →
nuke5–13-0.0220%13 Oct →
cache13–90.0216%13 Oct →
ancient8–13-0.0421%13 Oct →
anubis11–13-0.0312%8 Oct →
inferno13–16-0.028%8 Oct →
cache13–50.0324%8 Oct →
ancient6–13-0.0212%7 Oct →
dust213–6-0.0118%7 Oct →
cache13–6-0.016%7 Oct →
dust28–130.0818%7 Oct →
inferno13–4-0.0412%7 Oct →
mirage13–10-0.027%7 Oct →
inferno5–90.0013%7 Oct →
ancient11–130.0111%6 Oct →
inferno13–80.0314%5 Oct →
mirage11–13-0.0213%5 Oct →
ancient13–90.015%5 Oct →
mirage9–130.0113%5 Oct →
anubis13–60.0219%5 Oct →
mirage13–60.034%5 Oct →
anubis11–130.1016%4 Oct →
mirage16–140.0213%3 Oct →
ancient11–130.0211%2 Oct →
inferno9–13-0.0515%1 Oct →
mirage13–50.128%1 Oct →
cache3–13-0.085%1 Oct →
nuke13–5-0.0414%1 Oct →
anubis12–12-0.0620%25 Sept →
cache4–13-0.0418%25 Sept →
ancient11–13-0.0215%25 Sept →
dust213–3-0.018%25 Sept →
vertigo5–130.0419%25 Sept →
inferno12–12-0.0721%25 Sept →
ancient13–10-0.0627%24 Sept →
mirage8–13-0.0512%24 Sept →
inferno13–4-0.0317%23 Sept →
nuke5–13-0.0810%23 Sept →
anubis11–13-0.0216%23 Sept →
ancient9–13-0.0416%23 Sept →
cache8–130.019%23 Sept →
nuke12–12-0.0714%23 Sept →
dust24–13-0.0818%23 Sept →
inferno5–13-0.044%23 Sept →
ancient13–30.1216%18 Sept →
ancient13–7-0.0013%18 Sept →
anubis8–130.0113%18 Sept →
mirage11–130.0114%17 Sept →
anubis13–110.0010%17 Sept →
nuke9–130.0114%17 Sept →
cache13–10-0.019%17 Sept →
mirage13–6-0.0313%17 Sept →
cache13–50.0618%17 Sept →
overpass13–4-0.0615%16 Sept →
overpass10–20.0014%16 Sept →
train8–13-0.0727%16 Sept →
dust29–130.0011%16 Sept →
inferno2–9-0.0821%16 Sept →
inferno9–70.0110%16 Sept →
nuke4–9-0.044%16 Sept →
cache6–10.0520%16 Sept →
anubis9–13-0.067%15 Sept →
cache13–2-0.0218%15 Sept →
nuke11–13-0.0510%15 Sept →
dust211–13-0.0116%15 Sept →
ancient10–13-0.028%15 Sept →
dust27–130.017%15 Sept →
mirage6–13-0.0415%15 Sept →
inferno13–50.0816%15 Sept →
nuke13–8-0.0611%14 Sept →
mirage0–13-0.0915%14 Sept →
inferno9–20.178%14 Sept →
inferno5–9-0.0618%14 Sept →
nuke13–00.0313%13 Sept →
nuke13–16-0.039%13 Sept →
mirage3–13-0.0513%13 Sept →
overpass7–13-0.0318%12 Sept →
vertigo13–40.0315%12 Sept →
inferno10–130.0512%12 Sept →
train13–50.0126%12 Sept →
cache5–130.017%12 Sept →
anubis12–120.0110%12 Sept →
mirage13–5-0.0220%12 Sept →
dust213–20.0415%12 Sept →
ancient12–120.046%12 Sept →
vertigo9–70.0221%12 Sept →
eldorado1–9-0.110%12 Sept →
inferno9–6-0.026%12 Sept →
nuke13–11-0.039%11 Sept →
nuke13–60.0922%11 Sept →
mirage13–110.0511%11 Sept →
inferno11–13-0.0215%10 Sept →
anubis9–13-0.076%10 Sept →
dust210–13-0.066%10 Sept →
cache13–40.0119%10 Sept →
cache5–13-0.028%8 Sept →
inferno7–13-0.0314%8 Sept →
ancient13–8-0.0711%8 Sept →
nuke13–9-0.0611%8 Sept →

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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