Skill issue — CS2 Stats

76561198215507615[U:1:255241887]✓ No bans

746Tracked matches55%Win rate2025Tracked since
CSDB Rating7.1 StrongEntry Fragger
Ladder ranks via Leetify

Performance scores

Aim75
Positioning76
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY41527Last 10041%Win rateLLLWLWWLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5
Aggression10.0
Utility5.7
Positioning7.6
Opening Duels6.9

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

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

Strengths

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 67% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Aim7.5
Positioning7.6
Utility5.7
Mechanics7.7
Opening Duels6.9
Win Impact6.7

Composite 7.1/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time556ms+11ms
first ⅓ avg 545ms → last ⅓ avg 556ms
Headshot accuracy20.4%−2.2%
first ⅓ avg 22.6% → last ⅓ avg 20.4%

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

0.20Best rating — dust2 9–6
130Biggest win — dust2
4Longest win streak
L3Current streak
53In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C61253641%0.03
infernoD91811%-0.04
cacheC83538%0.01
anubisS64267%0.01
mirageA53260%0.02
overpassA53260%0.02
nuke31233%-0.01
ancient31233%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
53%Win rate
0.96Avg K/D
ADR
44%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

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.

20.8%Headshot accuracy
30.7%Accuracy (enemy spotted)
29.9%Spray accuracy
84.8%Counter-strafing
7.4°Preaim
554msReaction time
48.0%T opening success
67.4%CT opening success
0.59Enemies flashed / flash
7.0%Flash assists
11.16HE damage / grenade
13.13Flashes / match

Recommended for you

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.

11% 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
cache11–13-0.0317%29 Aug
dust29–13-0.0432%29 Aug
dust211–130.0120%29 Aug
nuke13–5-0.0215%12 Aug
dust29–130.0626%11 Aug
mirage13–60.0726%10 Aug
dust213–80.0722%10 Aug
dust29–130.1131%9 Aug
dust213–20.0320%6 Aug
dust213–110.1320%3 Aug
dust22–13-0.0628%3 Aug
dust213–70.1222%2 Aug
dust213–90.0024%2 Aug
dust29–130.0620%1 Aug
dust213–50.1334%25 Jul
dust29–60.2020%25 Jul
dust28–130.0119%24 Jul
dust213–70.0922%22 Jul
dust213–80.0418%22 Jul
anubis13–9-0.0511%21 Jul
dust212–120.0428%20 Jul
cache5–13-0.017%20 Jul
inferno6–13-0.114%20 Jul
dust213–110.0936%16 Jul
anubis5–13-0.0216%9 Jul
dust213–80.0316%9 Jul
cache13–80.0716%9 Jul
anubis13–100.0420%6 Jul
inferno8–13-0.0517%6 Jul
dust27–13-0.0217%6 Jul
dust20–13-0.086%2 Jul
overpass13–90.0532%2 Jul
dust25–13-0.0315%1 Jul
overpass13–50.0625%1 Jul
nuke4–130.0621%1 Jul
dust26–13-0.075%1 Jul
dust213–70.0119%30 Jun
dust213–11-0.0318%30 Jun
dust213–00.1524%30 Jun
dust22–13-0.1010%29 Jun
cache12–120.0326%29 Jun
mirage13–100.0413%28 Jun
dust24–13-0.0621%28 Jun
dust27–13-0.0318%28 Jun
dust26–13-0.0222%28 Jun
dust23–13-0.0414%26 Jun
nuke0–13-0.0843%26 Jun
dust213–9-0.0029%26 Jun
dust29–13-0.0117%26 Jun
dust213–3-0.0222%26 Jun
dust212–90.0332%25 Jun
overpass7–13-0.0610%25 Jun
dust212–120.0421%23 Jun
dust27–130.1530%23 Jun
ancient3–13-0.0118%23 Jun
dust28–130.0526%23 Jun
ancient13–100.0423%22 Jun
mirage6–130.0418%22 Jun
dust24–13-0.0615%22 Jun
inferno6–13-0.0511%21 Jun
dust213–11-0.0217%21 Jun
overpass8–13-0.0325%21 Jun
dust212–120.0815%19 Jun
dust22–13-0.0319%19 Jun
anubis13–6-0.0117%16 Jun
dust213–70.0240%15 Jun
dust213–110.0117%15 Jun
overpass13–90.0518%15 Jun
anubis15–15-0.0116%14 Jun
inferno7–13-0.019%14 Jun
dust21–13-0.1238%14 Jun
cache12–12-0.067%11 Jun
dust29–13-0.0124%11 Jun
inferno5–130.0222%11 Jun
inferno13–60.0115%9 Jun
inferno3–9-0.060%9 Jun
anubis13–50.1119%9 Jun
dust26–130.0124%9 Jun
dust211–130.0113%9 Jun
dust212–120.0524%30 May
dust27–130.0755%30 May
dust213–90.0214%30 May
dust213–6-0.0025%28 May
cache13–60.0314%25 May
dust25–130.0125%25 May
dust213–50.1123%23 May
cache9–130.0322%23 May
dust28–130.0229%23 May
dust210–130.0326%23 May
dust213–10.1343%23 May
ancient12–16-0.0410%19 May
inferno3–13-0.1223%19 May
dust28–130.0927%18 May
inferno9–13-0.0314%18 May
mirage3–13-0.0324%18 May
mirage13–9-0.0319%17 May
dust27–13-0.0132%17 May
cache13–70.0114%13 May
dust24–130.0120%13 May
dust213–00.0557%13 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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