Begi

Begi — CS2 Stats

76561198073926236[U:1:113660508]Steam profile ↗✓ No bans

369Tracked matches44%Win rate2021Tracked since
CSDB Rating7.1 StrongEntry Fragger
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim85
Positioning76
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY34579Last 10034%Win rateWWWWLLLWLL

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

Player DNA

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

Aim8.5
Aggression10.0
Utility6.0
Positioning7.6
Opening Duels7.1
Clutch0.0

Sharp aimerStrong 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 95% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

CT openings. 70% 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 70% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.5
Positioning7.6
Utility6.0
Mechanics7.1
Opening Duels7.1
Win Impact3.1

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 rating0.10+0.02
first ⅓ avg 0.08 → last ⅓ avg 0.10
Reaction time581ms−40ms
first ⅓ avg 621ms → last ⅓ avg 581ms
Headshot accuracy20.2%+0.3%
first ⅓ avg 19.9% → last ⅓ avg 20.2%

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

0.39Best rating — nuke 9–1
131Biggest win — cache
4Longest win streak
W4Current streak
37In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 63% over 8cacheWeakest map · 6% over 16
MapGradePlayedRecordWin rateAvg rating
cacheD161156%0.05
mirageD124833%0.09
ancientD112918%0.05
infernoA116555%0.10
vertigoB105550%0.12
trainD93633%0.09
dust2D93633%0.09
nukeA85363%0.12
overpass41325%0.08
anubis41325%0.05
office21150%0.16
alpine21150%0.05
shelter1010%0.16
boulder110100%0.20

Across the last 100 tracked matches.

Faceit stats

Combat

81Matches
52%Win rate
1.28Avg K/D
61.6ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

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.

19.1%Headshot accuracy
42.2%Accuracy (enemy spotted)
44.2%Spray accuracy
82.1%Counter-strafing
9.9°Preaim
581msReaction time
46.4%T opening success
70.3%CT opening success
0.66Enemies flashed / flash
8.7%Flash assists
12.46HE damage / grenade
6.80Flashes / match

Recommended for you

Spend your practice time on Cache

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

6% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage9–50.1423%28 Aug
office13–100.109%27 Aug
ancient16–13-0.0011%27 Aug
mirage13–50.0113%27 Aug
train9–130.0416%23 Aug
train11–130.1924%18 Aug
cache7–130.0620%14 Aug
vertigo13–100.1025%13 Aug
train5–13-0.0123%13 Aug
mirage8–130.2122%13 Aug
nuke9–10.3942%13 Aug
inferno13–80.1527%11 Aug
cache2–130.0325%10 Aug
mirage1–130.0220%10 Aug
nuke13–60.0113%9 Aug
mirage2–13-0.0327%9 Aug
nuke8–130.0818%8 Aug
ancient12–120.0521%8 Aug
mirage4–130.0531%7 Aug
nuke13–100.079%7 Aug
cache12–120.1416%7 Aug
cache6–130.0214%6 Aug
inferno13–40.1610%5 Aug
overpass8–130.1118%5 Aug
mirage1–130.0519%5 Aug
dust24–10.1529%3 Aug
mirage13–40.2717%3 Aug
vertigo10–130.1520%3 Aug
cache11–130.2421%2 Aug
train13–80.1631%1 Aug
nuke12–120.1017%1 Aug
ancient11–130.0914%1 Aug
cache7–130.0721%1 Aug
overpass0–2-0.030%1 Aug
inferno1–13-0.0217%1 Aug
anubis3–13-0.0321%1 Aug
dust213–100.1614%1 Aug
ancient3–130.1214%31 Jul
vertigo13–100.119%31 Jul
dust213–70.1021%29 Jul
vertigo13–90.168%29 Jul
cache0–13-0.0227%29 Jul
cache9–130.0325%27 Jul
inferno13–110.0617%27 Jul
cache9–13-0.0515%27 Jul
vertigo13–50.1914%27 Jul
train13–80.1816%24 Jul
office12–120.2224%24 Jul
train3–130.0123%24 Jul
overpass11–130.1422%24 Jul
cache0–13-0.0230%24 Jul
vertigo4–130.0924%24 Jul
shelter12–120.1612%24 Jul
dust27–130.0311%24 Jul
vertigo13–40.0822%24 Jul
ancient2–130.0911%24 Jul
anubis4–13-0.0413%24 Jul
vertigo8–130.0815%23 Jul
inferno9–130.1121%23 Jul
mirage5–130.1726%23 Jul
mirage13–60.0626%23 Jul
anubis11–130.0815%22 Jul
ancient4–130.0018%22 Jul
cache2–130.0420%22 Jul
dust23–130.0526%22 Jul
train7–130.0918%22 Jul
boulder13–70.2018%21 Jul
train9–130.1423%21 Jul
cache13–10.069%19 Jul
inferno13–100.1723%19 Jul
nuke13–40.1924%19 Jul
cache12–120.1016%18 Jul
dust25–130.0424%18 Jul
inferno11–130.1117%7 Jul
dust28–130.1324%7 Jul
nuke13–100.1119%5 Jul
alpine13–100.0316%5 Jul
anubis13–50.2112%5 Jul
ancient12–120.0815%5 Jul
inferno7–130.2322%27 Jun
vertigo5–130.1417%27 Jun
cache2–13-0.0321%27 Jun
dust24–130.0722%26 Jun
ancient4–130.0921%26 Jun
inferno10–30.1314%25 Jun
ancient10–130.0319%25 Jun
cache12–120.1124%25 Jun
mirage8–130.1018%25 Jun
dust212–120.1120%25 Jun
ancient1–130.0731%25 Jun
ancient13–6-0.0413%12 Jun
mirage10–130.0228%11 Jun
cache7–130.0624%10 Jun
nuke8–130.0113%10 Jun
inferno4–130.0315%9 Jun
inferno13–11-0.0118%7 Jun
alpine3–130.0725%5 Jun
vertigo5–130.0825%5 Jun
train13–80.0319%5 Jun
overpass13–110.0926%4 Jun

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 →