morn pouse

morn pouse — CS2 Stats

76561198441872724[U:1:481606996]Steam profile ↗✓ No bans

781Tracked matches37%Win rate2022Tracked since
941Hours in CS31Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 1,951 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,951 → 1,951
+59Tracked matches · now 781
+15.2ppWin rate · 21.4% → 36.7%

Rating over time

Premier CS Rating: 25,705 +8,706 26 Jan – 23 Apr · 9 days played
16,75625,705peak 25,70526 Jan23 Apr
Faceit ELO: 1,951 +0 28 Aug – 20 Sept · 2 observations
1,9511,951peak 1,95128 Aug20 Sept
25,705Peak Premier in tracked matches
1,951Highest Faceit ELO seen on CSDB
38Days played since 2026-01-26

Faceit ELO

  • At peak — 1,951
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 50 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate55.6%50.9%
Shot accuracy6.4%13.7%
Kill/death ratio1.351.09
Match win rate53.3%48.4%

Share this profile

CSDB.GGmorn pouseFACEITLevel 10 · 1,951 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO1,951csdb.gg/stats

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Performance scores

Aim84
Positioning67
Utility64

0–100 skill scores via Leetify.

Recent form

HOT43–52–5Last 10043%Win rateWWLWWWLLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −6.1pp headshot accuracy · −22ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 517ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 542ms

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 (+1.1 against its own average).

Aim8.4
Utility6.4
Positioning6.7
Opening Duels5.8
Clutch3.4

Effective flashes

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4
Positioning6.7
Utility6.4
Mechanics6.9
Opening Duels5.6
Win Impact0.6

Composite 6.2/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time544ms−55ms
first ⅓ avg 599ms → last ⅓ avg 544ms
Headshot accuracy24.6%+0.2%
first ⅓ avg 24.4% → last ⅓ avg 24.6%

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

0.18Best match rating · 13–5 · inferno, 26 Feb →
77%Best headshot accuracy · 3–5 · inferno, 9 Jul →
406msFastest reaction time · 5–13 · mirage, 18 Aug →
13–0Biggest win · ancient, 26 Feb →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
4–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%0.02
ancientB136–746%0.03
dust2C135–838%0.02
anubisA127–558%0.02
infernoD113–827%0.04
nukeS96–367%0.05
cacheA95–456%0.03
vertigo—40–40%0.01
train—31–233%-0.00
office—20–20%0.06
overpass—21–150%0.04
fachwerk—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,883Lifetime kills
1.35K/D · Top 25% of Level 10 players
1,343Matches
53.3%Match win rate · Top 25% of Level 10 players
55.6%Headshot % · Top 50% of Level 10 players
6.4%Shot accuracy
4,713MVPs
1,612Hours (in match)
2,035Bombs planted
384Bombs defused

Most-used weapons

Lifetime map wins

2,278dust2
1,721inferno
1,374nuke
659vertigo
330train
191office
9italy
9cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

196Matches
63%Win rate
1.33Avg K/D
90.3ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5968%1.4419.8
Dust24055%1.2017.8
Ancient3557%1.2119.2
Inferno2157%1.3420.9
Anubis2070%1.2620.3
Nuke1275%1.7520.4
Cache425%1.0716.5
Train4100%1.5114.8

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.

21.9%Headshot accuracy
36.4%Accuracy (enemy spotted)
35.5%Spray accuracy
80.9%Counter-strafing
8.3°Preaim
529msReaction time
53.2%T opening success
51.9%CT opening success
0.73Enemies flashed / flash
9.7%Flash assists
10.23HE damage / grenade
6.82Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0615%3 Nov →
nuke13–70.0916%3 Nov →
ancient14–160.0320%1 Nov →
mirage13–100.0013%24 Oct →
anubis16–13-0.0012%20 Oct →
dust213–10-0.0123%14 Oct →
ancient9–13-0.0126%12 Oct →
mirage6–13-0.0213%19 Aug →
anubis13–5-0.0225%19 Aug →
ancient13–90.0520%19 Aug →
dust29–130.0232%19 Aug →
anubis13–60.0627%19 Aug →
mirage5–130.0328%18 Aug →
dust213–160.0220%18 Aug →
mirage13–40.088%18 Aug →
ancient10–13-0.0115%15 Aug →
mirage13–30.0135%15 Aug →
mirage0–2-0.0333%11 Aug →
dust22–13-0.0121%11 Aug →
dust213–60.1224%11 Aug →
anubis8–130.0118%11 Aug →
inferno11–130.0125%7 Aug →
mirage9–13-0.0138%7 Aug →
office5–130.0824%3 Aug →
cache7–130.0129%2 Aug →
inferno7–13-0.0227%2 Aug →
anubis11–130.0524%2 Aug →
fachwerk8–13-0.0426%2 Aug →
dust23–13-0.0214%9 Jul →
mirage5–130.0525%9 Jul →
inferno3–50.0777%9 Jul →
dust28–13-0.0037%8 Jul →
train9–130.0324%8 Jul →
cache4–13-0.0631%8 Jul →
mirage12–120.0123%7 Jul →
office12–120.0334%7 Jul →
inferno8–130.0213%7 Jul →
vertigo7–13-0.0420%7 Jul →
nuke7–50.1324%7 Jul →
dust213–110.0424%7 Jul →
inferno13–110.0931%7 Jul →
ancient2–130.0228%7 Jul →
mirage7–130.0625%7 Jul →
ancient4–13-0.048%16 Jun →
mirage1–13-0.1112%16 Jun →
cache13–90.0131%16 Jun →
nuke0–100.0222%10 Jun →
inferno9–130.0237%10 Jun →
vertigo4–130.0535%10 Jun →
inferno6–13-0.0219%21 May →
dust213–30.1227%21 May →
mirage10–130.0234%21 May →
cache9–60.047%10 May →
cache7–130.0714%10 May →
cache5–130.0827%7 May →
cache13–80.1123%7 May →
cache13–70.0142%30 Apr →
cache13–80.0223%29 Apr →
nuke16–120.0925%23 Apr →
ancient15–15-0.0322%2 Apr →
mirage7–13-0.0113%27 Mar →
vertigo5–130.0128%27 Mar →
ancient14–160.0314%26 Mar →
anubis6–130.0043%25 Mar →
dust29–130.0418%25 Mar →
ancient13–70.0612%25 Mar →
dust29–13-0.0725%25 Mar →
anubis13–80.0423%24 Mar →
ancient13–100.0421%24 Mar →
mirage8–20.0624%24 Mar →
dust25–130.0019%24 Mar →
inferno13–110.0833%24 Mar →
nuke12–120.0522%24 Mar →
vertigo9–130.0232%24 Mar →
train13–80.0747%24 Mar →
train0–5-0.100%24 Mar →
overpass7–130.0523%24 Mar →
anubis13–40.0629%24 Mar →
anubis8–13-0.0025%22 Mar →
anubis13–90.0418%19 Mar →
inferno10–130.0728%12 Mar →
ancient13–60.0738%27 Feb →
anubis13–20.0329%27 Feb →
inferno13–50.1834%26 Feb →
nuke13–4-0.0429%26 Feb →
ancient13–00.0719%26 Feb →
mirage13–50.0423%26 Feb →
dust213–70.0223%26 Feb →
mirage13–3-0.0411%26 Feb →
nuke13–70.0822%22 Feb →
anubis8–13-0.0010%22 Feb →
mirage13–40.1133%22 Feb →
overpass13–100.0421%22 Feb →
inferno5–13-0.0110%22 Feb →
mirage12–120.0130%30 Jan →
mirage13–10-0.0116%30 Jan →
mirage5–13-0.0133%28 Jan →
nuke5–13-0.0720%28 Jan →
mirage13–30.1433%26 Jan →
nuke13–50.0730%26 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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