Mov

Mov — CS2 Stats

GB76561198308385539[U:1:348119811]Steam profile ↗✓ No bans

1,443Tracked matches60%Win rate2024Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating22,698Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47822 of 261507 tracked
FaceitLevel 8 · 1,231 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGMovFACEITLevel 8 · 1,231 ELOSTANDINGTop 31.2% of rankedPREMIER22,698 · Pink bandcsdb.gg/stats

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Performance scores

Aim89
Positioning59
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49–40–11Last 10049%Win rateLWLWLTWWLT

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +5.9pp headshot accuracy · −41ms reaction

Win rate 0pp 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 0.05
  • Avg headshot accuracy 30%
  • Avg reaction 472ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 497ms

Last 20

  • 8–7–5 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 517ms

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 (+1.4 against its own average).

Aim8.9
Utility4.2
Positioning5.9
Opening Duels3.8
Clutch4.0

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

donk

Plays most like donk 86% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; 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

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
Positioning5.9
Utility4.2
Mechanics7.3
Opening Duels3.9
Win Impact8.3

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time522ms+16ms
first ⅓ avg 505ms → last ⅓ avg 522ms
Headshot accuracy22.5%+0.1%
first ⅓ avg 22.5% → last ⅓ avg 22.5%

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 · 13–5 · ancient, 21 Oct →
41%Best headshot accuracy · 8–13 · dust2, 2 Nov →
375msFastest reaction time · 6–13 · ancient, 13 Nov →
13–1Biggest win · inferno, 13 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–4In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 62% over 13dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.00
ancientA1710–759%0.02
anubisA1710–759%0.02
infernoA138–562%0.05
mirageB126–650%0.02
nukeC125–742%0.01
cache—42–250%-0.03
office—10–10%0.07
overpass—11–0100%0.02
vertigo—10–10%0.05
train—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

73Matches
62%Win rate
1.41Avg K/D
93.6ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3053%1.3318.0
Dust21362%1.2719.0
Inferno1283%1.6318.8
Nuke683%1.6820.3
Ancient560%1.0413.6
Overpass475%1.9928.3
Anubis20%1.1420.5
Cache10%1.1820.0

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.

22.8%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.4%Spray accuracy
82.7%Counter-strafing
8.4°Preaim
517msReaction time
46.2%T opening success
45.4%CT opening success
0.61Enemies flashed / flash
3.5%Flash assists
6.85HE damage / grenade
5.44Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0024%13 Nov →
inferno13–10.1028%13 Nov →
ancient6–13-0.0139%13 Nov →
anubis13–30.1124%13 Nov →
nuke4–130.0435%13 Nov →
mirage12–120.0319%13 Nov →
dust213–70.0926%13 Nov →
dust213–6-0.0914%12 Nov →
anubis4–13-0.0425%11 Nov →
office12–120.0727%11 Nov →
mirage13–110.0618%11 Nov →
nuke12–12-0.0126%11 Nov →
ancient8–13-0.0721%11 Nov →
mirage9–100.0123%10 Nov →
ancient3–130.0111%9 Nov →
anubis13–110.0921%9 Nov →
ancient13–60.0111%9 Nov →
dust212–12-0.0319%9 Nov →
mirage5–130.0533%5 Nov →
inferno12–120.0523%5 Nov →
anubis13–30.0533%5 Nov →
nuke10–130.0116%4 Nov →
inferno13–20.1117%4 Nov →
dust28–13-0.0417%4 Nov →
ancient13–100.1128%4 Nov →
mirage8–130.0521%4 Nov →
dust213–40.1525%4 Nov →
ancient13–90.0226%4 Nov →
anubis13–40.0714%4 Nov →
inferno13–5-0.0322%4 Nov →
ancient13–100.0122%4 Nov →
nuke11–13-0.0421%4 Nov →
mirage13–90.0114%4 Nov →
anubis6–13-0.0430%4 Nov →
inferno11–130.0727%3 Nov →
nuke13–60.0233%3 Nov →
dust212–12-0.0117%3 Nov →
mirage13–50.0220%3 Nov →
ancient13–60.0416%3 Nov →
dust24–13-0.0619%3 Nov →
inferno13–40.0630%3 Nov →
nuke12–120.0420%2 Nov →
dust210–130.0318%2 Nov →
anubis13–11-0.027%2 Nov →
dust28–13-0.0241%2 Nov →
anubis11–130.0724%1 Nov →
cache4–13-0.0321%1 Nov →
ancient5–13-0.0715%31 Oct →
nuke13–30.0514%31 Oct →
dust213–100.0415%31 Oct →
dust29–13-0.0611%22 Oct →
overpass13–80.0224%22 Oct →
dust27–130.0431%22 Oct →
ancient13–50.1726%21 Oct →
mirage6–130.0323%21 Oct →
cache6–1-0.105%21 Oct →
dust213–90.0323%21 Oct →
anubis12–12-0.0023%21 Oct →
vertigo12–120.0519%21 Oct →
anubis13–90.0235%21 Oct →
mirage13–90.0022%21 Oct →
inferno8–13-0.0411%21 Oct →
nuke4–12-0.150%20 Oct →
dust28–130.0429%20 Oct →
ancient13–8-0.0627%20 Oct →
anubis5–13-0.0412%19 Oct →
anubis13–4-0.0016%16 Oct →
dust213–100.0320%16 Oct →
inferno13–110.0915%15 Oct →
anubis13–40.0321%15 Oct →
inferno13–100.0619%15 Oct →
ancient5–13-0.1122%14 Oct →
cache13–50.0216%14 Oct →
anubis13–100.0927%14 Oct →
dust213–9-0.0123%14 Oct →
mirage13–110.0123%14 Oct →
nuke3–130.0021%14 Oct →
dust24–13-0.0423%14 Oct →
train12–120.0022%12 Oct →
anubis11–13-0.0113%7 Oct →
nuke13–50.1126%6 Oct →
anubis13–70.0616%6 Oct →
dust28–13-0.0625%6 Oct →
inferno4–120.0130%3 Oct →
ancient13–110.0824%3 Oct →
ancient6–13-0.0721%1 Oct →
dust20–8-0.1417%29 Sept →
cache9–13-0.0025%29 Sept →
inferno13–3-0.0124%29 Sept →
nuke13–80.0121%29 Sept →
ancient13–50.0229%29 Sept →
mirage2–13-0.0722%29 Sept →
inferno13–110.0936%29 Sept →
dust212–120.1120%29 Sept →
nuke13–90.0120%28 Sept →
anubis6–13-0.0217%28 Sept →
inferno10–130.0429%28 Sept →
dust28–13-0.0125%28 Sept →
ancient13–100.0718%28 Sept →
ancient5–130.0730%28 Sept →

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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