So|o™

So|o™ — CS2 Stats

UM76561197962026621[U:1:1760893]Steam profile ↗✓ No bans

2,819Tracked matches50%Win rate2020Tracked since
CSDB Rating5.5 SolidClutch Specialist
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#11585 of 28223 tracked
FaceitLevel 7 · 1,452 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGSo|o™FACEITLevel 7 · 1,452 ELOSTANDINGTop 42.3% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim65
Positioning49
Utility55

0–100 skill scores via Leetify.

Recent form

COLD46495Last 10046%Win rateLWLLWWLTLL

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.5
Aggression5.5
Utility5.5
Positioning4.9
Opening Duels2.0
Clutch7.6

Strong CT-side openerReliable in 1v1s

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-duel success, 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

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim6.5
Positioning4.9
Utility5.5
Mechanics6.1
Opening Duels2.0
Win Impact5.0

Composite 5.5/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time607ms+7ms
first ⅓ avg 601ms → last ⅓ avg 607ms
Headshot accuracy13.5%−3.3%
first ⅓ avg 16.8% → last ⅓ avg 13.5%

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.

Highlights

0.15Best rating — dust2 13–5
131Biggest win — dust2
6Longest win streak
67In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 73% over 11infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B27141352%0.01
ancientC156940%-0.02
infernoD1431121%-0.01
cacheA148657%0.02
nukeS118373%0.01
mirageB105550%-0.03
anubisD82625%-0.02
vertigo1010%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,095Matches
50%Win rate
1.15Avg K/D
87.1ADR
35%Headshot %

Clutches & streaks

58%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3546%1.3118.1
Dust23053%1.1315.3
Anubis2955%1.1516.4
Ancient2748%1.1717.7
Mirage2167%0.9915.1
Vertigo1136%1.0317.7
Nuke956%1.1517.4
Train250%1.1613.5

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.

13.4%Headshot accuracy
39.5%Accuracy (enemy spotted)
40.0%Spray accuracy
77.3%Counter-strafing
11.5°Preaim
600msReaction time
30.4%T opening success
45.6%CT opening success
0.66Enemies flashed / flash
6.3%Flash assists
10.95HE damage / grenade
7.77Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4193% — below the 15% mark we flag

    Aim Training
  2. 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 30.3708% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0016%29 Aug
dust213–10-0.0123%29 Aug
ancient13–160.0914%26 Aug
ancient6–13-0.116%12 Aug
nuke13–110.0317%12 Aug
dust213–50.1513%11 Aug
anubis7–13-0.009%9 Aug
ancient15–15-0.0219%9 Aug
inferno11–13-0.046%6 Aug
inferno11–130.0611%6 Aug
inferno15–15-0.0316%5 Aug
inferno7–13-0.0419%5 Aug
dust28–13-0.048%2 Aug
inferno9–13-0.069%2 Aug
cache13–70.0628%1 Aug
ancient13–10-0.038%1 Aug
dust23–13-0.0213%31 Jul
mirage13–110.0711%31 Jul
cache10–13-0.0210%31 Jul
ancient13–20.0824%30 Jul
nuke13–40.0515%29 Jul
inferno13–60.0819%28 Jul
inferno12–160.0417%27 Jul
dust213–60.0211%24 Jul
dust213–50.037%24 Jul
mirage13–9-0.058%24 Jul
anubis9–13-0.026%23 Jul
inferno13–40.0513%20 Jul
ancient7–13-0.0011%19 Jul
anubis13–100.0116%19 Jul
ancient13–100.0915%19 Jul
dust213–8-0.0513%19 Jul
nuke13–70.0114%19 Jul
cache5–130.0420%19 Jul
dust24–130.0119%19 Jul
dust213–16-0.0110%19 Jul
dust213–30.0211%19 Jul
ancient13–80.0313%19 Jul
nuke13–90.0213%18 Jul
ancient5–13-0.105%18 Jul
mirage13–5-0.045%18 Jul
nuke13–30.0618%17 Jul
anubis8–130.0314%17 Jul
inferno5–130.0010%17 Jul
dust210–13-0.0416%17 Jul
nuke15–15-0.0413%12 Jul
inferno5–13-0.0433%12 Jul
cache13–9-0.037%9 Jul
anubis1–13-0.1131%9 Jul
cache8–130.0125%9 Jul
cache16–140.0213%8 Jul
nuke8–13-0.0511%6 Jul
inferno6–13-0.0314%6 Jul
anubis13–100.0117%2 Jul
dust213–16-0.0217%30 Jun
dust213–70.0129%30 Jun
ancient7–13-0.0816%30 Jun
mirage9–13-0.099%30 Jun
dust24–50.0119%28 Jun
nuke13–9-0.029%28 Jun
dust214–160.0114%28 Jun
inferno4–13-0.106%27 Jun
ancient2–13-0.0610%26 Jun
mirage5–13-0.0623%26 Jun
dust24–130.034%23 Jun
ancient4–13-0.0310%22 Jun
cache13–7-0.0110%21 Jun
cache7–1-0.04100%21 Jun
cache9–13-0.0011%21 Jun
vertigo9–130.1211%21 Jun
inferno13–6-0.0510%18 Jun
nuke13–16-0.0419%18 Jun
dust213–11-0.0416%17 Jun
mirage13–11-0.059%12 Jun
anubis15–15-0.0512%11 Jun
mirage1–13-0.1120%10 Jun
dust213–60.0725%10 Jun
ancient7–13-0.0526%9 Jun
dust213–9-0.0116%9 Jun
ancient13–9-0.0228%9 Jun
nuke13–110.1010%8 Jun
ancient13–9-0.0211%8 Jun
dust213–100.0113%7 Jun
dust213–8-0.0117%30 May
dust212–160.014%28 May
mirage5–13-0.022%27 May
dust214–160.018%25 May
mirage13–30.0217%24 May
dust210–130.0422%24 May
mirage12–12-0.0210%24 May
nuke13–80.0210%23 May
cache11–130.0115%23 May
cache10–130.018%21 May
dust213–20.1426%21 May
dust213–10.0419%21 May
dust214–16-0.0212%21 May
cache13–50.1411%20 May
cache13–60.097%18 May
anubis6–130.008%17 May
cache13–40.0721%13 May

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 →