sojie

sojie — CS2 Stats

76561198007695182[U:1:47429454]Steam profile ↗✓ No bans

114Tracked matches36%Win rate2021Tracked since
CSDB Rating5.0 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim61
Positioning56
Utility40

0–100 skill scores via Leetify.

Recent form

COLD41518Last 10041%Win rateWLLTLWLLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression6.5
Utility4.0
Positioning5.6
Opening Duels3.5

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.

Your pro match

ropz

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Reaction time. 695ms 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

Aim6.1
Positioning5.6
Utility4.0
Mechanics7.4
Opening Duels3.5
Win Impact0.2

Composite 5.0/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time695ms+38ms
first ⅓ avg 657ms → last ⅓ avg 695ms
Headshot accuracy15.9%−2.5%
first ⅓ avg 18.3% → last ⅓ avg 15.9%

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

0.15Best rating — train 9–7
163Biggest win — overpass
7Longest win streak
1111In matches decided by ≤2 rounds
18Overtime games

Map breakdown

infernoBest map · 56% over 18dust2Weakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA1810856%0.01
ancientB147750%0.02
anubisD134931%-0.01
overpassB136746%0.02
nukeD124833%-0.02
mirageD113827%0.01
dust2D101910%-0.01
train41325%0.06
cache440100%-0.00
vertigo110100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

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
37.5%Accuracy (enemy spotted)
40.7%Spray accuracy
83.3%Counter-strafing
11.8°Preaim
695msReaction time
42.7%T opening success
45.0%CT opening success
0.41Enemies flashed / flash
8.1%Flash assists
6.91HE damage / grenade
3.22Flashes / 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 0.4125 — below the 0.5 mark we flag

    Grenade Lineups
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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–70.0223%12 Aug
inferno14–160.0725%12 Aug
inferno4–13-0.0111%26 Jul
train12–12-0.0110%13 Jul
ancient6–130.0813%4 Jul
anubis13–10-0.0011%4 Jul
mirage11–130.0134%4 Jul
nuke3–13-0.1113%4 Jul
inferno9–130.0113%29 Jun
anubis4–130.0716%28 Jun
mirage11–13-0.0315%28 Jun
dust213–60.0516%28 Jun
inferno13–110.0814%27 Jun
nuke9–130.0011%27 Jun
overpass11–130.0515%27 Jun
dust25–130.0124%27 Jun
nuke2–13-0.0510%27 Jun
ancient13–90.0616%27 Jun
ancient13–70.0124%24 Jun
anubis10–13-0.035%24 Jun
inferno13–80.0324%24 Jun
dust27–13-0.049%23 Jun
mirage13–20.0814%23 Jun
ancient8–130.0416%23 Jun
overpass13–70.0611%20 Jun
anubis13–6-0.0315%20 Jun
mirage8–13-0.0013%20 Jun
dust21–13-0.0241%20 Jun
mirage9–13-0.0623%19 Jun
dust215–150.017%18 Jun
anubis11–130.0812%18 Jun
ancient11–13-0.0411%18 Jun
dust210–13-0.0010%18 Jun
inferno13–11-0.0318%15 Jun
nuke13–11-0.0115%15 Jun
ancient13–60.0022%15 Jun
overpass14–16-0.0316%15 Jun
anubis8–13-0.0615%14 Jun
nuke13–110.0128%14 Jun
overpass7–13-0.0513%14 Jun
anubis13–6-0.0223%14 Jun
inferno11–13-0.0218%14 Jun
nuke8–13-0.0119%14 Jun
anubis7–13-0.0813%14 Jun
inferno6–13-0.0310%14 Jun
cache13–6-0.0427%14 Jun
ancient13–90.0821%7 Jun
nuke13–30.0624%7 Jun
anubis15–150.0210%6 Jun
ancient7–13-0.0319%6 Jun
inferno13–80.0215%6 Jun
nuke7–13-0.0730%6 Jun
dust215–15-0.0115%6 Jun
anubis11–13-0.0513%6 Jun
mirage8–13-0.0916%6 Jun
ancient9–13-0.0019%6 Jun
inferno13–11-0.0523%31 May
overpass13–7-0.0132%31 May
mirage5–13-0.0714%31 May
overpass13–90.0818%30 May
nuke15–150.0217%30 May
nuke13–20.0124%22 May
ancient13–40.0920%22 May
inferno9–13-0.0127%21 May
anubis14–16-0.0225%21 May
dust24–13-0.0513%21 May
mirage6–130.0336%21 May
anubis9–13-0.0710%20 May
ancient13–11-0.0214%20 May
nuke9–130.0023%20 May
nuke10–13-0.0623%11 May
overpass13–50.0615%11 May
inferno13–11-0.027%11 May
inferno7–13-0.0113%11 May
cache13–9-0.0211%8 May
ancient15–15-0.0311%8 May
dust26–13-0.0317%21 Jul
overpass6–130.0026%21 Jul
inferno9–13-0.0023%20 Jul
overpass11–13-0.0019%20 Jul
overpass8–130.0226%20 Jul
inferno13–110.0431%11 Jul
ancient2–13-0.0522%11 Jul
anubis13–100.0129%26 Jun
ancient16–140.0620%13 Jun
dust29–13-0.0223%6 Jun
mirage7–00.1436%6 Jun
inferno13–30.1412%5 Jun
cache16–140.0314%6 May
train12–160.0217%5 May
overpass6–90.014%2 May
mirage16–60.049%1 May
train9–70.159%1 May
overpass16–30.0515%30 Apr
inferno16–9-0.037%30 Apr
vertigo16–50.0718%30 Apr
cache9–10.0230%30 Apr
overpass16–9-0.0127%29 Apr
train15–150.0611%29 Apr
mirage15–150.1032%29 Apr

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 →