möve.

möve. — CS2 Stats

FI76561199102074655[U:1:1141808927]Steam profile ↗✓ No bans

1,070Tracked matches60%Win rate2024Tracked since
CSDB Rating6.6 SolidPositional Player
FaceitLevel 9 · 1,781 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,781 → 1,781
+1Tracked matches · now 1,070
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Faceit ELO: 1,781 +0 11 Sept – 3 Oct · 3 observations
1,7811,781peak 1,78111 Sept3 Oct
1,781Highest Faceit ELO seen on CSDB
41Days played since 2026-04-14

Faceit ELO

  • At peak — 1,781
  • Next: Level 10 at 2,001 — 220 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-11
  • Level 8 first seen 2026-09-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGmöve.FACEITLevel 9 · 1,781 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,781csdb.gg/stats

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Performance scores

Aim77
Positioning69
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWLWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −3.9pp headshot accuracy · +34ms 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 -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 615ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

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 (+2 against its own average).

Aim7.7
Utility4.5
Positioning6.9
Opening Duels4.9
Clutch3.2

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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 565ms 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

Aim7.7
Positioning6.9
Utility4.5
Mechanics8.4
Opening Duels4.8
Win Impact8.3

Composite 6.6/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time575ms−102ms
first ⅓ avg 677ms → last ⅓ avg 575ms
Headshot accuracy16.6%+0.9%
first ⅓ avg 15.7% → last ⅓ avg 16.6%

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

0.12Best match rating · 13–0 · dust2, 23 May →
40%Best headshot accuracy · 13–8 · dust2, 17 May →
438msFastest reaction time · 13–10 · ancient, 27 Aug →
13–0Biggest win · dust2, 23 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2716–1159%0.03
anubisC166–1038%-0.02
infernoC145–936%-0.02
cacheS118–373%0.01
nukeB105–550%-0.00
ancientS97–278%-0.01
mirageC52–340%-0.01
overpass—31–233%0.00
vertigo—22–0100%0.08
alpine—11–0100%0.01
office—11–0100%0.00
italy—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,086Matches
50%Win rate
1.09Avg K/D
79.1ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient21754%1.0815.8
Nuke17455%1.1516.9
Inferno16056%1.1615.9
Anubis14150%1.0716.9
Dust212946%1.0014.7
Mirage9340%0.9715.3
Train8246%1.1715.9
Overpass6340%0.9815.9

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.

16.2%Headshot accuracy
34.8%Accuracy (enemy spotted)
35.7%Spray accuracy
87.6%Counter-strafing
8.6°Preaim
565msReaction time
46.8%T opening success
51.2%CT opening success
0.47Enemies flashed / flash
4.5%Flash assists
7.69HE damage / grenade
6.63Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4724 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0716%1 Nov →
cache13–4-0.0119%13 Sept →
anubis9–13-0.0613%6 Sept →
nuke13–100.0110%5 Sept →
cache8–13-0.0213%31 Aug →
dust213–50.0723%31 Aug →
nuke13–4-0.078%30 Aug →
inferno13–16-0.0318%30 Aug →
anubis13–10-0.0310%30 Aug →
nuke13–70.0413%28 Aug →
anubis16–140.0418%28 Aug →
inferno13–11-0.0211%28 Aug →
dust211–130.0212%27 Aug →
inferno16–130.0117%27 Aug →
anubis11–13-0.0110%27 Aug →
ancient13–10-0.0110%27 Aug →
dust28–130.0125%21 Aug →
mirage1–13-0.0117%21 Aug →
inferno8–8-0.0138%18 Aug →
cache13–30.0023%18 Aug →
dust213–50.0929%18 Aug →
dust213–100.0312%16 Aug →
dust213–9-0.0220%16 Aug →
anubis13–11-0.0014%16 Aug →
anubis4–13-0.0323%14 Aug →
cache13–3-0.0222%12 Aug →
ancient3–130.0222%12 Aug →
dust28–130.0622%12 Aug →
anubis13–10-0.0211%11 Aug →
ancient16–140.017%11 Aug →
dust28–130.0318%11 Aug →
inferno7–13-0.0111%9 Aug →
anubis10–13-0.0312%6 Aug →
anubis8–13-0.0320%2 Aug →
nuke10–13-0.0114%1 Aug →
inferno3–13-0.0621%1 Aug →
cache6–130.0320%1 Aug →
dust25–130.0016%30 Jul →
vertigo13–100.0610%30 Jul →
vertigo13–100.0917%30 Jul →
inferno23–25-0.0215%30 Jul →
anubis7–13-0.0411%30 Jul →
ancient13–9-0.0216%29 Jul →
dust213–90.0623%26 Jul →
dust213–70.0520%26 Jul →
dust213–10.0830%24 Jul →
anubis13–2-0.0119%24 Jul →
anubis13–30.0713%24 Jul →
dust213–90.0220%24 Jul →
dust210–130.0916%24 Jul →
overpass9–13-0.0111%23 Jul →
cache10–130.0521%23 Jul →
cache9–5-0.040%23 Jul →
nuke6–13-0.093%23 Jul →
inferno6–130.0011%23 Jul →
dust23–13-0.060%23 Jul →
dust213–110.0214%22 Jul →
dust24–130.0617%22 Jul →
inferno13–10.0322%22 Jul →
ancient13–9-0.0021%22 Jul →
ancient13–60.0213%14 Jul →
dust213–80.0622%8 Jul →
nuke16–130.0913%7 Jul →
inferno10–13-0.0626%27 May →
anubis13–16-0.0617%25 May →
cache13–10-0.0124%25 May →
dust213–50.0224%25 May →
dust213–4-0.050%25 May →
inferno13–7-0.0522%24 May →
alpine13–20.0113%24 May →
office13–70.0020%24 May →
italy4–13-0.0210%24 May →
dust213–20.0419%24 May →
nuke13–70.0121%23 May →
mirage13–40.0115%23 May →
cache13–30.0214%23 May →
dust213–00.1215%23 May →
inferno9–13-0.0516%18 May →
overpass6–130.0110%18 May →
anubis11–130.0115%18 May →
dust213–80.0340%17 May →
cache13–40.0410%17 May →
nuke2–13-0.0126%16 May →
dust24–13-0.0811%8 May →
mirage4–130.0014%3 May →
dust213–30.075%1 May →
cache13–110.0416%1 May →
anubis6–13-0.0319%23 Apr →
mirage16–19-0.0214%23 Apr →
anubis10–13-0.0821%21 Apr →
dust29–13-0.0214%21 Apr →
overpass13–20.005%20 Apr →
nuke6–13-0.0539%20 Apr →
ancient13–8-0.0211%20 Apr →
inferno13–9-0.0415%14 Apr →
mirage13–10-0.0418%14 Apr →
dust210–13-0.0213%14 Apr →
nuke10–130.039%14 Apr →
ancient13–60.0114%14 Apr →
inferno9–13-0.0314%14 Apr →

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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