soul_i_am — CS2 Stats

76561198331559922[U:1:371294194]

803Tracked matches40%Win rate2023Tracked since
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating18,853Purple band · top ~13.1% of ranked players (population est.)
CSDB Leaderboard#8625 of 17094 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGsoul_i_amFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,853 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning41
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateWLLLWWWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim8.3
Aggression4.5
Utility5.6
Positioning4.1
Opening Duels0.7
Clutch1.4

Strong CT-side opener

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower 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

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim8.3
Positioning4.1
Utility5.6
Mechanics8.2
Opening Duels1.5
Win Impact1.7

Composite 5.7/10 (Solid), 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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time635ms−25ms
first ⅓ avg 660ms → last ⅓ avg 635ms
Headshot accuracy24.0%+0.8%
first ⅓ avg 23.2% → last ⅓ avg 24.0%

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 — nuke 13–3
130Biggest win — mirage
7Longest win streak
910In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 5infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB30141647%-0.00
dust2A1710759%0.02
nukeS139469%0.02
ancientC125742%-0.01
cacheA106460%0.01
infernoD93633%0.01
anubisS54180%0.04
overpass41325%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

280Matches
49%Win rate
0.98Avg K/D
74.5ADR
48%Headshot %

Clutches & streaks

27%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7743%0.9714.3
Dust25853%1.0713.6
Anubis3656%1.0514.2
Ancient3043%1.0515.0
Inferno1937%0.8513.8
Nuke1765%1.1215.9
Vertigo1164%0.8412.4
Cache743%0.9215.6

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.

23.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.1%Spray accuracy
86.8%Counter-strafing
9.0°Preaim
637msReaction time
23.4%T opening success
42.4%CT opening success
0.57Enemies flashed / flash
5.2%Flash assists
7.60HE damage / grenade
12.19Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.4211% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0134%12 Aug
cache16–190.0137%12 Aug
mirage2–13-0.0723%12 Aug
mirage2–13-0.0429%11 Aug
dust213–60.0418%11 Aug
mirage13–110.0429%11 Aug
cache13–100.0618%9 Aug
ancient4–13-0.0329%9 Aug
mirage13–00.0760%8 Aug
mirage11–130.0619%7 Aug
mirage16–12-0.0110%7 Aug
anubis11–13-0.0610%7 Aug
mirage13–50.0641%7 Aug
mirage11–130.0318%5 Aug
mirage12–16-0.0425%5 Aug
ancient8–13-0.038%5 Aug
mirage13–110.0238%5 Aug
mirage6–130.0221%5 Aug
mirage9–13-0.0019%5 Aug
nuke13–7-0.023%5 Aug
mirage11–13-0.0419%5 Aug
mirage10–13-0.0523%5 Aug
ancient6–130.0424%5 Aug
mirage10–13-0.0817%4 Aug
dust28–13-0.0119%4 Aug
mirage13–11-0.0330%4 Aug
cache13–8-0.0131%3 Aug
mirage7–13-0.0619%3 Aug
cache16–13-0.0428%2 Aug
ancient11–130.0419%2 Aug
ancient6–13-0.0724%2 Aug
dust213–4-0.0110%2 Aug
dust213–110.0641%2 Aug
anubis13–70.0621%31 Jul
mirage9–13-0.0423%31 Jul
anubis13–80.0621%31 Jul
mirage13–8-0.0331%30 Jul
inferno9–13-0.0729%26 Jul
anubis13–90.0413%26 Jul
cache11–130.0728%24 Jul
nuke13–110.0032%21 Jul
dust27–1-0.0233%17 Jul
dust213–10-0.0113%17 Jul
inferno10–130.0312%14 Jul
dust23–13-0.0722%12 Jul
mirage13–10-0.0013%12 Jul
cache13–11-0.0523%12 Jul
ancient13–5-0.0519%11 Jul
nuke13–70.0017%11 Jul
dust213–10-0.0242%11 Jul
ancient13–11-0.0221%11 Jul
nuke13–70.0228%11 Jul
cache9–130.0221%10 Jul
cache13–10-0.0316%10 Jul
dust210–130.0036%9 Jul
dust24–13-0.0229%9 Jul
nuke13–7-0.0756%9 Jul
cache13–70.0821%9 Jul
cache12–12-0.0513%8 Jul
nuke13–90.1420%6 Jul
nuke6–13-0.0310%6 Jul
ancient15–150.0113%4 Jul
dust213–60.0323%4 Jul
inferno13–60.0029%3 Jul
overpass13–100.0415%2 Jul
nuke13–80.0433%2 Jul
overpass5–110.0648%2 Jul
dust210–130.0415%2 Jul
inferno5–13-0.0212%30 Jun
nuke9–130.0131%24 Jun
anubis13–20.0822%24 Jun
mirage13–100.0526%21 Jun
mirage13–60.0116%20 Jun
inferno15–15-0.0121%20 Jun
nuke13–80.0432%19 Jun
dust213–90.0320%18 Jun
inferno5–130.0440%15 Jun
mirage13–10.0540%15 Jun
dust213–30.0556%15 Jun
ancient16–14-0.0122%15 Jun
dust211–130.0615%11 Jun
inferno13–70.0833%11 Jun
mirage13–60.1110%11 Jun
mirage13–90.0210%11 Jun
mirage13–3-0.0221%11 Jun
overpass8–13-0.0120%11 Jun
mirage8–130.0229%11 Jun
nuke13–30.1522%11 Jun
inferno2–13-0.0322%11 Jun
ancient13–60.0627%11 Jun
mirage11–13-0.0125%11 Jun
dust213–90.0420%11 Jun
inferno13–80.0421%10 Jun
nuke10–13-0.0318%8 Jun
ancient11–13-0.1020%8 Jun
nuke8–130.0523%2 Jun
overpass3–13-0.0611%1 Jun
dust213–160.0525%1 Jun
mirage11–13-0.0030%31 May
mirage6–13-0.0713%31 May

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 →