Sofa King — CS2 Stats

76561198008419505[U:1:48153777]

1,648Tracked matches43%Win rate2023Tracked since
CSDB Rating6.2 SolidEntry Fragger
Premier CS Rating13,154Blue band · top ~38.2% of ranked players (population est.)
CSDB Leaderboard#8202 of 11883 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGSofa KingPREMIER13,154 · Blue bandcsdb.gg/stats

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Performance scores

Aim78
Positioning74
Utility56

0–100 skill scores via Leetify.

Recent form

COLD47512Last 10047%Win rateWLWWLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.8
Aggression10.0
Utility5.6
Positioning7.4
Opening Duels6.0
Clutch4.0

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 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 593ms 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

Aim7.8
Positioning7.4
Utility5.6
Mechanics6.5
Opening Duels6.0
Win Impact2.8

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06+0.01
first ⅓ avg 0.05 → last ⅓ avg 0.06
Reaction time592ms−54ms
first ⅓ avg 646ms → last ⅓ avg 592ms
Headshot accuracy15.8%+3.2%
first ⅓ avg 12.6% → last ⅓ avg 15.8%

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 — mirage 13–8
133Biggest win — nuke
5Longest win streak
77In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 71% over 14anubisWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
ancientB178947%0.04
nukeC167944%0.05
anubisC156940%0.05
mirageC156940%0.05
infernoS1410471%0.07
dust2C104640%0.04
cacheC73443%0.08
vertigo31233%-0.00
overpass220100%0.05
train1010%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

96Matches
41%Win rate
1.25Avg K/D
96.6ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
34%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2752%1.4019.4
Dust22227%1.2216.4
Ancient1765%1.2118.4
Inferno120%0.9814.7
Nuke1136%1.1516.8
Overpass475%1.7627.0
Anubis20%1.2019.0
Train1100%1.4619.0

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.

16.0%Headshot accuracy
42.9%Accuracy (enemy spotted)
47.0%Spray accuracy
79.4%Counter-strafing
11.9°Preaim
593msReaction time
48.6%T opening success
59.4%CT opening success
0.50Enemies flashed / flash
6.7%Flash assists
10.94HE damage / grenade
8.88Flashes / match

Recommended for you

Spend your practice time on Anubis

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–60.0928%28 Aug
nuke4–130.0015%28 Aug
ancient13–90.1016%28 Aug
anubis13–50.0614%28 Aug
inferno11–130.0514%27 Aug
nuke11–13-0.035%27 Aug
ancient7–130.0211%26 Aug
mirage6–13-0.0113%26 Aug
mirage4–130.0713%25 Aug
ancient8–130.0419%25 Aug
inferno13–70.0816%24 Aug
ancient7–13-0.0313%24 Aug
ancient7–130.0217%21 Aug
anubis13–100.0925%21 Aug
ancient8–130.0715%21 Aug
ancient11–130.0315%20 Aug
nuke13–30.0619%20 Aug
nuke13–50.0727%20 Aug
cache13–30.1712%20 Aug
nuke13–90.1217%20 Aug
mirage6–13-0.036%20 Aug
anubis13–110.0915%18 Aug
mirage2–130.0715%18 Aug
mirage13–110.0725%17 Aug
nuke6–130.0219%17 Aug
inferno13–90.1021%17 Aug
inferno10–130.0711%16 Aug
anubis16–130.0813%16 Aug
anubis10–130.0116%14 Aug
nuke14–160.0420%14 Aug
ancient13–60.0914%14 Aug
mirage13–80.1820%13 Aug
ancient5–130.026%13 Aug
anubis5–130.053%12 Aug
inferno13–80.0824%12 Aug
nuke13–6-0.0215%11 Aug
mirage13–160.0412%11 Aug
dust213–40.0918%11 Aug
dust213–30.0817%8 Aug
mirage13–50.0718%8 Aug
nuke11–130.0621%8 Aug
train11–130.0518%8 Aug
nuke7–130.0819%7 Aug
mirage1–13-0.0213%7 Aug
anubis13–60.0512%7 Aug
ancient13–110.0112%7 Aug
mirage12–160.0813%6 Aug
inferno13–60.1310%6 Aug
inferno13–40.0014%5 Aug
dust27–13-0.029%5 Aug
nuke7–130.0713%5 Aug
anubis5–13-0.009%4 Aug
mirage13–90.0411%4 Aug
vertigo13–7-0.0115%3 Aug
mirage9–13-0.015%3 Aug
dust26–130.0417%3 Aug
ancient13–30.0519%3 Aug
mirage7–130.0312%2 Aug
anubis6–130.1014%2 Aug
vertigo7–130.015%1 Aug
dust24–13-0.0815%1 Aug
inferno16–140.0916%1 Aug
ancient13–70.0918%1 Aug
nuke8–130.0220%31 Jul
mirage16–140.0621%31 Jul
inferno8–130.1110%31 Jul
ancient13–90.0120%29 Jul
nuke13–110.1014%29 Jul
inferno13–100.0110%29 Jul
dust210–130.0218%11 Jul
ancient7–130.028%11 Jul
anubis10–130.0622%11 Jul
dust213–70.023%10 Jul
ancient13–70.0514%10 Jul
cache11–13-0.019%10 Jul
cache13–160.0715%9 Jul
anubis3–130.0423%8 Jul
cache8–130.0714%8 Jul
ancient12–120.0612%8 Jul
vertigo9–13-0.0112%8 Jul
cache8–130.0514%8 Jul
cache13–30.0919%8 Jul
inferno13–70.0612%8 Jul
anubis4–13-0.007%7 Jul
inferno1–13-0.039%7 Jul
dust28–130.1213%7 Jul
nuke9–130.1114%6 Jul
anubis13–90.1717%6 Jul
nuke13–110.027%4 Jul
cache13–90.0810%4 Jul
dust212–120.0817%4 Jul
mirage16–130.0818%3 Jul
anubis5–13-0.019%3 Jul
ancient13–7-0.0011%3 Jul
nuke16–130.0510%3 Jul
inferno13–100.1412%2 Jul
inferno13–100.0420%1 Jul
overpass13–100.0913%1 Jul
anubis10–13-0.036%30 Jun
overpass13–90.027%30 Jun

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 →