manguss

manguss — CS2 Stats

PRODynamo EclotCzechiaRiflerSettings & gear profile →

76561198035510513[U:1:75244785]Steam profile ↗✓ No bans

1,728Tracked matches50%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 3,456 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,728 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 3,456 +0 31 Aug – 24 Sept · 9 observations
3,4563,456peak 3,45631 Aug24 Sept
22,272Peak Premier in tracked matches
3,456Highest Faceit ELO seen on CSDB
50Days played since 2023-11-02

Faceit ELO

  • At peak — 3,456
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 44 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-31
  • 2,500 ELO first seen 2026-08-31

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.GGmangussFACEITLevel 10 · 3,456 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO3,456csdb.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

Aim89
Positioning50
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateWWLLWWWLWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −2.2pp headshot accuracy · −74ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 494ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 481ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 518ms

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 (+1.8 against its own average).

Aim8.9
Utility4.1
Positioning5.0
Opening Duels0.0
Clutch3.8

Sharp aimer

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: aim profile, positioning profile.

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

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 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 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.

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

Aim8.9
Positioning5.0
Utility4.1
Mechanics7.3
Opening Duels0.0
Win Impact5.0

Composite 6.2/10 (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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time490ms−39ms
first ⅓ avg 528ms → last ⅓ avg 490ms
Headshot accuracy19.0%−0.7%
first ⅓ avg 19.7% → last ⅓ avg 19.0%

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

0.24Best match rating · 13–2 · inferno, 27 Feb →
40%Best headshot accuracy · 2–13 · train, 22 May →
281msFastest reaction time · 2–13 · train, 22 May →
13–0Biggest win · train, 27 Feb →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W2Current streak
6–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 75% over 8trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2413–1154%0.03
ancientS1813–572%0.03
anubisB147–750%0.02
dust2A138–562%0.02
infernoS128–467%0.03
overpassS86–275%0.02
trainD72–529%-0.01
nuke—43–175%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

3,076Matches
57%Win rate
1.40Avg K/D
87.9ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11554%1.3718.1
Ancient10256%1.3118.2
Dust28460%1.4417.6
Nuke4667%1.3317.4
Anubis3348%1.4217.5
Inferno2759%1.4319.0
Overpass2268%1.5817.6
Train475%1.3419.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$7Inventory value21ItemsFull inventory breakdown →
Souvenir MP9 | Music Box (Minimal Wear)$4Tec-9 | Tiger Stencil (Factory New)$0UMP-45 | Oscillator (Minimal Wear)$0Souvenir R8 Revolver | Desert Brush (Minimal Wear)$0StatTrak™ Negev | Ultralight (Minimal Wear)$0SSG 08 | Mainframe 001 (Minimal Wear)$0

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.4%Headshot accuracy
40.0%Accuracy (enemy spotted)
44.1%Spray accuracy
82.6%Counter-strafing
9.2°Preaim
487msReaction time
29.7%T opening success
26.3%CT opening success
0.63Enemies flashed / flash
8.3%Flash assists
7.55HE damage / grenade
8.88Flashes / 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 29.674% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage22–200.0712%23 Jan →
nuke16–120.0122%23 Jan →
dust214–16-0.0016%23 Jan →
anubis9–13-0.0115%21 Jan →
dust213–60.0420%21 Jan →
mirage13–10-0.0118%21 Jan →
nuke13–100.0116%9 Jan →
ancient8–130.0111%23 Oct →
ancient13–50.0623%16 Oct →
mirage11–13-0.0315%27 Sept →
train11–130.0423%27 Sept →
inferno13–6-0.0215%27 Sept →
mirage5–13-0.0229%25 Sept →
overpass7–130.0223%25 Sept →
dust213–20.0319%20 Sept →
dust213–40.0817%31 Aug →
nuke8–13-0.0515%29 Aug →
mirage13–5-0.0113%13 Jun →
ancient8–130.0219%13 Jun →
anubis13–10.0916%10 Jun →
train13–9-0.0430%26 May →
anubis5–13-0.0416%26 May →
ancient13–9-0.0112%24 May →
train2–13-0.0740%22 May →
ancient13–6-0.0113%22 May →
inferno6–13-0.0411%22 May →
inferno13–80.0326%22 May →
mirage4–120.0322%22 May →
train11–13-0.0519%22 May →
dust29–130.0321%21 May →
mirage7–13-0.0221%21 May →
train8–13-0.0328%21 May →
inferno13–9-0.0514%21 May →
mirage11–13-0.0520%20 May →
dust29–13-0.0120%20 May →
dust213–100.0415%20 May →
anubis5–13-0.0218%20 May →
mirage9–13-0.0123%20 May →
mirage13–7-0.0618%19 May →
dust213–120.018%19 May →
train11–13-0.0414%19 May →
dust29–130.0121%19 May →
anubis13–8-0.0111%17 May →
dust213–30.0627%17 May →
ancient7–13-0.0317%17 May →
ancient13–10-0.018%16 May →
dust213–9-0.0213%16 May →
mirage13–70.0216%15 May →
ancient13–4-0.0418%15 May →
ancient6–13-0.0424%14 May →
anubis13–100.0822%14 May →
dust214–16-0.0417%14 May →
ancient8–13-0.0326%14 May →
mirage7–130.0837%14 May →
inferno13–5-0.0417%14 May →
anubis19–150.0118%13 May →
ancient13–90.0717%13 May →
train13–00.0930%27 Feb →
inferno13–20.2421%27 Feb →
mirage13–2-0.0214%24 Feb →
dust213–80.1118%23 Feb →
mirage13–00.0627%20 Apr →
inferno16–140.0825%12 Feb →
mirage13–60.1018%12 Feb →
ancient13–100.1223%30 Jan →
inferno7–130.0221%30 Jan →
overpass13–90.0517%28 Jan →
mirage13–20.1424%28 Jan →
ancient13–40.0827%28 Jan →
anubis7–130.0117%24 Jan →
mirage16–120.1319%23 Jan →
anubis13–40.0315%23 Jan →
overpass13–7-0.0215%21 Jan →
anubis19–170.1023%18 Jan →
inferno13–70.1230%18 Jan →
mirage11–130.0427%17 Jan →
overpass13–90.0121%17 Jan →
mirage13–70.0329%17 Jan →
mirage13–50.0223%17 Jan →
mirage13–30.1923%17 Jan →
anubis11–130.099%14 Jan →
overpass13–70.0819%14 Jan →
inferno10–130.0324%14 Jan →
overpass13–50.007%10 Dec →
nuke13–100.0617%7 Dec →
overpass9–13-0.0210%5 Dec →
mirage11–13-0.0117%30 Nov →
anubis7–13-0.0416%28 Nov →
ancient13–60.1419%23 Nov →
anubis7–10-0.0326%23 Nov →
mirage20–220.0421%22 Nov →
ancient16–140.0322%21 Nov →
ancient13–20.0620%19 Nov →
inferno9–13-0.0516%19 Nov →
mirage6–13-0.0723%19 Nov →
inferno13–100.0418%17 Nov →
ancient16–130.0118%16 Nov →
ancient13–70.0917%15 Nov →
overpass13–110.0318%13 Nov →
anubis13–50.0518%2 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.