☜☆☞♛BABE♛☜☆☞

☜☆☞♛BABE♛☜☆☞ — CS2 Stats

SE76561198337451379[U:1:377185651]Steam profile ↗✓ No bans

4,108Tracked matches55%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating27,376Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#836 of 23582 tracked
FaceitLevel 10 · 2,327 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

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CSDB.GG☜☆☞♛BABE♛☜☆☞FACEITLevel 10 · 2,327 ELOSTANDINGTop 12.4% of rankedPREMIER27,376 · Red bandcsdb.gg/stats

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Performance scores

Aim75
Positioning49
Utility73

0–100 skill scores via Leetify.

Recent form

HOT50473Last 10050%Win rateWTLLWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.5
Aggression4.9
Utility7.3
Positioning4.9
Opening Duels2.5
Clutch3.6

Strong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 54% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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
Positioning4.9
Utility7.3
Mechanics6.8
Opening Duels3.0
Win Impact6.7

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time583ms+22ms
first ⅓ avg 561ms → last ⅓ avg 583ms
Headshot accuracy23.4%−1.9%
first ⅓ avg 25.3% → last ⅓ avg 23.4%

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

0.18Best rating — inferno 9–1
132Biggest win — cache
6Longest win streak
56In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 62% over 13anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2213959%0.02
infernoA1811761%0.03
dust2C1771041%0.00
cacheC167944%0.04
ancientA138562%-0.01
anubisC114736%0.01
nuke2020%-0.03
vertigo1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,316Matches
51%Win rate
1.05Avg K/D
73.3ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage45553%1.0214.7
Ancient27551%0.9413.9
Inferno25156%1.0014.2
Dust222347%1.0013.6
Anubis16244%0.9814.2
Nuke9852%0.8112.6
Train6557%0.9113.4
Vertigo5233%0.9714.4

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.

23.1%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.8%Spray accuracy
80.6%Counter-strafing
10.7°Preaim
586msReaction time
26.4%T opening success
53.7%CT opening success
0.71Enemies flashed / flash
7.0%Flash assists
8.48HE damage / grenade
19.78Flashes / 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 26.4136% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–1-0.0121%28 Aug
cache15–150.0021%28 Aug
nuke4–13-0.0126%28 Aug
anubis6–13-0.0213%28 Aug
dust213–90.0820%28 Aug
mirage13–40.0933%25 Aug
ancient13–90.0131%17 Aug
anubis13–100.0328%17 Aug
ancient13–80.0519%13 Aug
inferno13–70.007%13 Aug
cache9–130.0230%12 Aug
mirage2–13-0.0824%12 Aug
mirage11–130.0210%11 Aug
vertigo13–16-0.0514%11 Aug
cache5–13-0.0316%10 Aug
dust213–40.0614%10 Aug
ancient7–13-0.0720%10 Aug
ancient13–60.0132%10 Aug
inferno6–9-0.0222%9 Aug
inferno7–9-0.0422%6 Aug
cache19–160.0811%5 Aug
mirage8–130.0328%5 Aug
mirage13–90.0432%5 Aug
inferno13–10-0.0023%5 Aug
inferno13–70.0837%4 Aug
dust211–130.0319%4 Aug
anubis7–130.0228%4 Aug
mirage13–70.0819%4 Aug
anubis13–60.1445%4 Aug
cache5–130.0946%4 Aug
inferno8–130.0626%4 Aug
inferno16–130.0121%3 Aug
mirage16–130.0615%3 Aug
ancient11–130.0128%3 Aug
cache8–130.0630%3 Aug
mirage13–60.0730%3 Aug
ancient11–130.0016%3 Aug
inferno3–13-0.0322%2 Aug
anubis6–13-0.0517%1 Aug
ancient13–11-0.0320%1 Aug
anubis10–130.0221%1 Aug
dust213–40.0734%1 Aug
anubis13–80.0222%1 Aug
inferno3–20.0729%1 Aug
mirage8–20.1431%1 Aug
cache13–11-0.0117%1 Aug
anubis10–130.0127%1 Aug
cache3–130.0422%31 Jul
cache9–13-0.0219%31 Jul
dust25–13-0.0917%31 Jul
inferno9–10.1824%31 Jul
inferno5–9-0.0528%31 Jul
dust24–13-0.0345%30 Jul
mirage13–100.0316%30 Jul
inferno16–120.0527%30 Jul
mirage13–30.0824%30 Jul
nuke10–13-0.0519%30 Jul
ancient13–110.0321%30 Jul
ancient13–40.0315%22 Jul
mirage4–13-0.0416%21 Jul
inferno9–30.1732%21 Jul
dust213–7-0.0421%20 Jul
anubis5–13-0.0319%20 Jul
cache13–20.0635%20 Jul
dust27–13-0.0121%20 Jul
mirage0–13-0.0512%19 Jul
cache13–100.0437%19 Jul
mirage16–130.0424%19 Jul
mirage0–13-0.0538%19 Jul
dust210–13-0.0620%17 Jul
ancient13–6-0.0524%17 Jul
inferno16–120.0533%17 Jul
anubis5–13-0.0426%17 Jul
cache6–130.0229%17 Jul
dust28–130.0231%17 Jul
inferno1–9-0.1545%17 Jul
dust213–9-0.0424%15 Jul
dust27–13-0.027%15 Jul
dust20–13-0.030%15 Jul
inferno13–100.0728%15 Jul
ancient3–130.0123%15 Jul
mirage13–50.0227%14 Jul
anubis13–70.0322%14 Jul
cache15–150.0629%14 Jul
dust211–130.0527%14 Jul
ancient13–9-0.0123%14 Jul
mirage9–40.0133%14 Jul
mirage1–130.0340%14 Jul
cache13–2-0.040%14 Jul
inferno8–80.0320%14 Jul
ancient4–13-0.0835%13 Jul
inferno13–90.0927%13 Jul
mirage1–13-0.0132%13 Jul
dust213–7-0.0317%13 Jul
mirage13–11-0.0522%13 Jul
dust25–13-0.0120%13 Jul
cache13–50.1134%12 Jul
mirage10–130.0120%11 Jul
cache13–40.1436%11 Jul
dust213–100.0521%11 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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