m♿urice

m♿urice — CS2 Stats

CH76561198174135981[U:1:213870253]Steam profile ↗✓ No bans

390Tracked matches54%Win rate2021Tracked since
1,332Hours in CS1Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 390
−0.3ppWin rate · 53.8% → 53.6%

Rating over time

Premier CS Rating: 13,734 +3,174 6 Sept – 13 Jan · 35 days played
7,89814,547peak 14,5476 Sept13 Jan
14,547Peak Premier in tracked matches
60Days played since 2025-09-06

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

Performance scores

Aim40
Positioning41
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY54–34–12Last 10054%Win rateWLWLLWWLLT

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.9pp headshot accuracy · −81ms 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 -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 553ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 593ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 633ms

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 (+1.9 against its own average).

Aim4.0
Utility4.0
Positioning4.1
Opening Duels0.5
Clutch0.0

Limited 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

iM

Plays most like iM 80% 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

T-side openings. Opening success drops from 39% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim4.0
Positioning4.1
Utility4.0
Mechanics5.8
Opening Duels1.1
Win Impact6.2

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time632ms−38ms
first ⅓ avg 670ms → last ⅓ avg 632ms
Headshot accuracy13.5%−0.9%
first ⅓ avg 14.5% → last ⅓ avg 13.5%

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 · 13–2 · nuke, 23 Nov →
50%Best headshot accuracy · 3–13 · dust2, 23 Nov →
430msFastest reaction time · 9–2 · vertigo, 25 Dec →
13–0Biggest win · cache, 5 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 62% over 13infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.02
cacheC188–1044%-0.01
nukeB136–746%0.04
dust2A138–562%0.01
overpassA116–555%0.01
infernoC73–443%-0.02
ancientA74–357%-0.01
train—33–0100%0.01
vertigo—21–150%0.01
anubis—11–0100%-0.06
warden—11–0100%-0.03
rooftop—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,314Lifetime kills
0.99K/D
1,772Matches
41.4%Match win rate
27.9%Headshot %
14.4%Shot accuracy · Top 50% of tracked players
3,959MVPs
759Hours (in match)
1,587Bombs planted
316Bombs defused

Most-used weapons

Lifetime map wins

3,447dust2
1,685inferno
897nuke
864vertigo
729cbble
644train
129assault
65dust

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

Faceit stats

Combat

39Matches
51%Win rate
0.91Avg K/D
40.9ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

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.

13.4%Headshot accuracy
30.8%Accuracy (enemy spotted)
29.6%Spray accuracy
76.3%Counter-strafing
11.4°Preaim
629msReaction time
18.0%T opening success
39.2%CT opening success
0.51Enemies flashed / flash
3.0%Flash assists
5.80HE damage / grenade
3.66Flashes / 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 13.3528% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6605 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 18.0156% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0313%19 Oct →
cache3–13-0.090%19 Oct →
inferno13–80.0312%6 Oct →
cache6–13-0.138%7 Jun →
cache7–130.0316%7 Jun →
cache13–30.0615%26 May →
cache13–30.034%16 May →
cache7–13-0.0818%12 May →
cache4–130.0213%10 May →
cache12–12-0.0619%8 May →
cache12–120.0118%6 May →
cache5–13-0.0113%6 May →
cache6–13-0.0211%5 May →
cache13–00.1414%5 May →
cache9–13-0.1114%5 May →
cache13–11-0.087%4 May →
cache13–30.0419%4 May →
cache13–50.0313%2 May →
cache13–110.0217%30 Apr →
inferno9–130.0320%27 Apr →
mirage13–1-0.0317%26 Apr →
mirage13–6-0.0411%23 Mar →
inferno12–9-0.0226%8 Mar →
mirage6–13-0.0410%7 Mar →
ancient11–130.0221%6 Mar →
anubis13–5-0.063%21 Feb →
warden13–10-0.033%15 Feb →
nuke11–13-0.0311%11 Feb →
inferno13–9-0.0518%8 Feb →
mirage13–10-0.0512%22 Jan →
nuke15–150.019%13 Jan →
mirage13–30.0015%3 Jan →
dust212–120.0028%3 Jan →
dust213–10-0.0310%3 Jan →
mirage13–6-0.0315%2 Jan →
nuke11–130.0111%1 Jan →
nuke13–9-0.0114%30 Dec →
nuke12–120.0414%30 Dec →
ancient16–14-0.0313%29 Dec →
ancient7–130.0017%29 Dec →
overpass11–130.0219%29 Dec →
dust213–70.0814%29 Dec →
vertigo9–20.083%25 Dec →
mirage4–13-0.0914%25 Dec →
mirage13–110.036%25 Dec →
mirage13–10.0615%25 Dec →
mirage13–110.1416%25 Dec →
nuke13–70.1013%24 Dec →
nuke15–150.0315%23 Dec →
overpass15–15-0.0715%22 Dec →
dust213–20.0310%22 Dec →
rooftop8–8-0.0716%21 Dec →
overpass13–60.0221%21 Dec →
nuke10–130.023%21 Dec →
mirage7–13-0.1011%21 Dec →
overpass10–13-0.0217%21 Dec →
ancient13–70.0215%21 Dec →
mirage13–110.0113%21 Dec →
mirage4–13-0.0619%16 Dec →
nuke13–80.0318%16 Dec →
vertigo6–9-0.0611%16 Dec →
mirage4–13-0.0712%7 Dec →
nuke3–13-0.044%5 Dec →
dust213–9-0.0416%5 Dec →
dust213–4-0.0321%1 Dec →
ancient15–15-0.0613%1 Dec →
dust213–50.0214%29 Nov →
train16–140.0311%29 Nov →
mirage15–15-0.0115%25 Nov →
mirage13–5-0.0119%25 Nov →
overpass13–110.0216%24 Nov →
dust23–13-0.0750%23 Nov →
nuke13–20.1713%23 Nov →
mirage16–130.0020%23 Nov →
overpass13–00.0816%22 Nov →
train13–60.0311%21 Nov →
train13–7-0.025%20 Nov →
overpass13–10.107%19 Nov →
dust213–70.075%17 Nov →
overpass13–50.0414%16 Nov →
dust25–13-0.0219%16 Nov →
overpass16–140.026%16 Nov →
dust215–150.0024%15 Nov →
nuke13–30.062%15 Nov →
mirage3–130.017%15 Nov →
nuke13–00.1420%15 Nov →
mirage9–13-0.0316%26 Oct →
inferno12–16-0.086%22 Oct →
mirage9–13-0.0517%20 Oct →
dust213–70.0713%16 Oct →
mirage13–8-0.0513%15 Oct →
overpass15–15-0.0113%21 Sept →
dust29–13-0.0116%21 Sept →
mirage10–13-0.0510%17 Sept →
inferno13–110.0114%9 Sept →
inferno5–13-0.0524%7 Sept →
ancient13–11-0.068%7 Sept →
overpass10–13-0.0621%7 Sept →
ancient13–100.0222%6 Sept →
mirage13–10.089%6 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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