✪ Move — CS2 Stats

76561198182172083[U:1:221906355]✓ No bans

767Tracked matches56%Win rate2020Tracked since
CSDB Rating7.1 StrongEntry Fragger
Premier CS Rating23,630Top 50% of 819 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#1183 of 5334 tracked
Ladder ranks via Leetify

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CSDB.GG✪ MovePREMIER23,630 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning64
Utility65

0–100 skill scores via Leetify.

Recent form

HOT55396Last 10055%Win rateWLWWWWWWWT

Last 10 vs previous 10: +60pp win rate · +0.03 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim7.6
Aggression10.0
Utility6.5
Positioning6.4
Opening Duels6.0
Clutch1.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 578ms 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

Aim7.6
Positioning6.4
Utility6.5
Mechanics7.6
Opening Duels6.0
Win Impact6.9

Composite 7.1/10 (Strong), 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 rating0.01−0.04
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time574ms+1ms
first ⅓ avg 573ms → last ⅓ avg 574ms
Headshot accuracy18.1%−2.4%
first ⅓ avg 20.5% → last ⅓ avg 18.1%

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.

Highlights

0.18Best rating — train 13–8
130Biggest win — cache
7Longest win streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 100% over 5trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2015575%0.02
mirageA2012860%0.05
nukeS1611569%0.02
ancientD1331023%0.00
infernoC125742%0.02
cacheS550100%0.05
trainD51420%0.04
anubis41325%0.01
overpass41325%0.04
vertigo110100%0.10

Across the last 100 tracked matches.

Faceit stats

Combat

75Matches
56%Win rate
1.26Avg K/D
84.0ADR
39%Headshot %

Clutches & streaks

27%1v1 clutch win
30%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1050%1.4914.3
Ancient875%1.2818.4
Inferno650%0.9815.2
Vertigo450%1.1212.0
Anubis450%1.1814.8
Nuke367%1.1716.0
Overpass250%1.2314.5
Dust22100%1.3014.0

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.

18.1%Headshot accuracy
33.5%Accuracy (enemy spotted)
39.5%Spray accuracy
84.1%Counter-strafing
9.0°Preaim
578msReaction time
47.3%T opening success
60.7%CT opening success
0.58Enemies flashed / flash
9.8%Flash assists
13.27HE damage / grenade
9.81Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust23–00.000%26 Jul
ancient2–13-0.0432%26 Jul
nuke4–20.1542%26 Jul
dust213–10-0.0638%25 Jul
cache13–30.1234%25 Jul
cache13–5-0.0212%25 Jul
cache13–00.0717%25 Jul
cache13–90.0610%25 Jul
cache13–40.0317%25 Jul
anubis15–150.0215%25 Jul
mirage13–20.0710%25 Jul
nuke7–130.0018%20 Jul
mirage2–130.0128%20 Jul
anubis9–13-0.0423%18 Jul
dust27–130.0127%16 Jul
nuke15–15-0.0018%14 Jul
ancient13–11-0.0013%13 Jul
inferno6–130.0212%12 Jul
ancient11–130.0123%12 Jul
dust215–15-0.0318%9 Jul
mirage4–130.007%7 Jul
inferno7–13-0.0123%7 Jul
mirage13–60.0317%6 Jul
dust20–13-0.100%7 Jun
nuke13–1-0.0018%6 Jun
anubis3–130.049%1 Jun
dust213–90.0111%9 May
nuke13–6-0.0215%9 May
ancient2–13-0.0612%7 May
anubis13–70.0222%3 May
nuke13–9-0.0323%1 May
dust213–50.0519%26 Apr
mirage13–100.0517%26 Apr
inferno4–13-0.0317%24 Apr
inferno11–130.0513%24 Apr
inferno16–13-0.0316%12 Apr
overpass8–13-0.0019%12 Apr
inferno5–13-0.0514%12 Apr
dust213–9-0.0117%12 Apr
ancient15–150.0321%12 Apr
mirage13–110.0224%6 Apr
ancient11–13-0.0613%6 Apr
mirage15–150.0416%5 Apr
mirage13–10.1821%5 Apr
inferno13–50.0612%5 Apr
nuke13–40.0911%3 Apr
vertigo8–30.109%1 Feb
ancient5–130.0313%1 Feb
nuke13–110.0212%20 Dec
train9–13-0.0215%20 Dec
nuke3–13-0.0913%19 Dec
nuke10–130.0321%19 Dec
nuke16–140.0815%19 Dec
dust213–40.0913%19 Dec
dust213–11-0.066%19 Dec
train10–13-0.0813%17 Dec
dust213–110.0818%17 Dec
mirage13–50.1124%17 Dec
dust213–70.038%16 Dec
nuke13–100.0225%16 Dec
overpass5–130.0531%16 Dec
train6–130.0114%16 Dec
nuke13–40.0219%15 Dec
nuke13–70.0219%15 Dec
ancient13–20.0912%14 Dec
inferno13–9-0.0216%10 Dec
ancient2–13-0.0627%10 Dec
mirage13–80.0629%10 Dec
mirage13–80.0118%9 Dec
dust29–13-0.0423%9 Dec
mirage11–130.0619%24 Nov
ancient11–130.0315%24 Nov
dust213–70.1631%23 Nov
dust213–110.0822%23 Nov
mirage13–20.1419%23 Nov
mirage13–70.1619%22 Nov
nuke13–10.0722%21 Nov
ancient13–100.0219%21 Nov
inferno11–130.1118%21 Nov
overpass13–70.1415%19 Nov
dust25–130.1021%19 Nov
dust213–50.029%19 Nov
mirage13–30.0120%17 Nov
train13–80.1818%15 Nov
inferno13–50.1323%15 Nov
train9–130.1225%15 Nov
inferno7–13-0.0417%15 Nov
mirage9–130.1516%8 Nov
mirage9–13-0.089%30 Oct
dust213–4-0.043%30 Oct
nuke15–150.0220%30 Oct
mirage13–50.0519%1 Oct
overpass6–13-0.0114%30 Sept
inferno13–100.0327%30 Sept
dust213–90.0828%30 Sept
mirage2–13-0.0836%22 Sept
ancient1–13-0.0225%15 Sept
dust213–60.0428%14 Sept
ancient2–130.0325%14 Sept
mirage5–130.0226%14 Sept

Match data via Leetify.

Recent teammates

Milestones

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