m4ve°

m4ve° — CS2 Stats

EG76561198191628323[U:1:231362595]Steam profile ↗✓ No bans

728Tracked matches67%Win rate2020Tracked since
CSDB Rating7.5 StrongPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

+49Tracked matches · now 728
+3.7ppWin rate · 63.0% → 66.7%

Rating over time

Premier CS Rating: 22,004 -629 31 Jan – 5 Jul · 12 days played
21,36422,722peak 22,72231 Jan5 Jul
23,051Peak Premier in tracked matches
2,038Highest Faceit ELO seen on CSDB
58Days played since 2026-01-20

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.GGm4ve°FACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,038csdb.gg/stats

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Performance scores

Aim84
Positioning67
Utility64

0–100 skill scores via Leetify.

Recent form

HOT59–36–5Last 10059%Win rateWWWWWLLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.3pp headshot accuracy · −25ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 586ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 570ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 582ms

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 (+0.9 against its own average).

Aim8.4
Utility6.4
Positioning6.7
Opening Duels5.4
Clutch4.8

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 97% playstyle similarity

Most alike: utility contribution, positioning 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. 587ms 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

Aim8.4
Positioning6.7
Utility6.4
Mechanics8.2
Opening Duels4.7
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time588ms−39ms
first ⅓ avg 627ms → last ⅓ avg 588ms
Headshot accuracy23.8%+0.9%
first ⅓ avg 22.9% → last ⅓ avg 23.8%

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 · 13–4 · ancient, 21 Jan →
49%Best headshot accuracy · 13–5 · inferno, 11 Aug →
422msFastest reaction time · 7–13 · mirage, 21 Feb →
13–1Biggest win · ancient, 12 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W5Current streak
7–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 72% over 25mirageWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
ancientS2518–772%0.04
dust2A2012–860%0.03
infernoB178–947%0.02
cacheB105–550%0.03
mirageC94–544%0.00
anubisS96–367%0.01
overpassA74–357%0.04
nuke—21–150%0.03
train—11–0100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

623Matches
55%Win rate
1.34Avg K/D
86.1ADR
54%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5556%1.3419.7
Inferno4556%1.2719.0
Dust23459%1.1017.6
Mirage3348%1.1215.7
Cache2962%1.4418.4
Anubis2854%1.1415.6
Nuke1242%1.1717.3
Overpass1250%1.2315.8

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.

23.1%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.8%Spray accuracy
87.1%Counter-strafing
9.1°Preaim
587msReaction time
44.4%T opening success
53.0%CT opening success
0.61Enemies flashed / flash
6.7%Flash assists
9.00HE damage / grenade
8.86Flashes / match

Recommended for you

Spend your practice time on Mirage

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.1230%27 Oct →
cache13–100.0425%25 Oct →
ancient13–50.0622%29 Sept →
cache13–110.0220%24 Sept →
inferno16–120.0120%22 Sept →
mirage11–130.0225%20 Sept →
cache12–160.0624%19 Sept →
ancient13–30.0221%15 Sept →
ancient13–80.0326%13 Sept →
cache13–30.1322%13 Sept →
ancient13–7-0.0117%25 Aug →
inferno13–50.0649%11 Aug →
inferno19–150.0127%11 Aug →
cache3–130.0226%4 Aug →
inferno5–130.1230%4 Aug →
cache2–13-0.0625%17 Jul →
ancient13–90.0525%16 Jul →
inferno12–12-0.0318%12 Jul →
anubis13–30.0922%10 Jul →
ancient13–100.0419%7 Jul →
ancient10–130.0316%5 Jul →
inferno15–150.0122%5 Jul →
mirage13–20.0126%3 Jul →
dust213–40.1319%3 Jul →
anubis8–13-0.0216%2 Jul →
inferno8–130.0121%2 Jul →
inferno19–150.0117%25 Jun →
inferno12–120.0628%22 Jun →
dust213–160.0121%16 Jun →
overpass13–60.1126%15 Jun →
ancient13–90.1119%14 Jun →
overpass13–40.0532%2 Jun →
inferno6–13-0.0330%31 May →
dust213–110.0722%29 May →
ancient19–170.0323%29 May →
overpass5–130.0016%28 May →
ancient13–80.0823%27 May →
overpass13–60.0634%21 May →
anubis13–11-0.0132%17 May →
dust27–130.0638%15 May →
inferno13–80.0627%13 May →
ancient7–130.0236%13 May →
cache9–130.0024%13 May →
cache5–13-0.0718%11 May →
dust213–7-0.0017%11 May →
inferno13–80.0129%10 May →
overpass4–130.0520%9 May →
cache13–50.0128%29 Apr →
cache13–80.1122%29 Apr →
dust213–9-0.0712%27 Apr →
ancient14–160.0119%25 Apr →
dust213–80.0736%25 Apr →
ancient13–70.0139%25 Apr →
inferno13–30.0426%25 Apr →
inferno4–13-0.0341%23 Apr →
overpass11–13-0.0415%23 Apr →
dust25–13-0.0227%22 Apr →
dust29–13-0.0025%2 Apr →
dust29–13-0.0229%31 Mar →
mirage13–90.0133%18 Mar →
dust213–60.0333%18 Mar →
mirage7–130.0126%21 Feb →
ancient13–6-0.0231%21 Feb →
inferno6–13-0.0644%21 Feb →
mirage10–13-0.0718%12 Feb →
ancient13–10.0114%12 Feb →
ancient13–90.0234%12 Feb →
anubis13–9-0.0121%9 Feb →
anubis13–30.0732%9 Feb →
dust213–100.0326%9 Feb →
mirage13–100.0218%7 Feb →
dust29–130.0122%7 Feb →
mirage8–13-0.0118%5 Feb →
inferno8–13-0.0326%5 Feb →
anubis5–13-0.0140%4 Feb →
mirage7–13-0.0916%4 Feb →
ancient5–13-0.0524%4 Feb →
dust213–70.0714%31 Jan →
ancient13–30.1114%31 Jan →
dust214–16-0.0522%31 Jan →
ancient15–150.0629%30 Jan →
ancient16–140.0115%26 Jan →
anubis13–7-0.0613%26 Jan →
inferno16–140.0926%26 Jan →
nuke2–13-0.0226%26 Jan →
dust213–100.0217%25 Jan →
dust213–5-0.0111%25 Jan →
ancient15–150.0025%24 Jan →
ancient13–11-0.0023%24 Jan →
dust213–60.0431%24 Jan →
anubis4–13-0.0432%24 Jan →
ancient5–130.0019%24 Jan →
dust211–130.0023%21 Jan →
ancient13–40.1826%21 Jan →
overpass13–30.059%21 Jan →
anubis9–00.0819%21 Jan →
mirage13–40.1227%21 Jan →
dust213–90.1325%20 Jan →
train13–80.0039%20 Jan →
nuke13–40.0725%20 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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