BaIIzLover67 — CS2 Stats

76561198361899075[U:1:401633347]

4,282Tracked matches20%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
CSDB Leaderboard#13489 of 16397 tracked
FaceitLevel 10 · 3,137 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

3,137Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 3,137
  • Next: 3,500 ELO at 3,500 363 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGBaIIzLover67FACEITLevel 10 · 3,137 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,137csdb.gg/stats

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Performance scores

Aim79
Positioning44
Utility66

0–100 skill scores via Leetify.

Recent form

COLD3862Last 10038%Win rateWLLLLLLLLL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.9
Aggression1.1
Utility6.6
Positioning4.4
Opening Duels0.0
Clutch3.6

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

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9
Positioning4.4
Utility6.6
Mechanics5.2
Opening Duels1.3
Win Impact0.0

Composite 5.4/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time512ms−35ms
first ⅓ avg 546ms → last ⅓ avg 512ms
Headshot accuracy19.9%−2.0%
first ⅓ avg 21.8% → last ⅓ avg 19.9%

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 — ancient 13–1
131Biggest win — ancient
11Longest win streak
58In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 100% over 5cacheWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
ancientA27161159%0.00
infernoD1641225%-0.01
anubisD1431121%-0.02
nukeC135838%-0.01
mirageD113827%-0.01
cacheD7070%-0.04
dust2D72529%-0.01
overpassS550100%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

4,457Matches
52%Win rate
1.08Avg K/D
84.4ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient75253%1.1016.1
Anubis45349%1.0715.8
Nuke40156%1.1016.5
Inferno25953%1.0716.3
Overpass16046%1.1216.7
Mirage14744%1.0016.3
Train11652%1.1417.2
Vertigo8953%1.0316.1

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.

19.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
43.1%Spray accuracy
73.6%Counter-strafing
9.8°Preaim
507msReaction time
14.2%T opening success
40.4%CT opening success
0.64Enemies flashed / flash
8.3%Flash assists
8.70HE damage / grenade
13.57Flashes / 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 14.2267% — below the 40% mark we flag

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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0324%20 Aug
cache5–130.0224%18 Aug
anubis3–13-0.056%18 Aug
inferno6–13-0.0229%18 Aug
ancient3–13-0.039%18 Aug
mirage4–130.0018%18 Aug
inferno6–13-0.0329%16 Aug
mirage8–13-0.0312%16 Aug
mirage9–13-0.1013%8 Aug
ancient10–13-0.0712%3 Aug
dust23–13-0.0117%3 Aug
nuke2–13-0.0728%2 Aug
cache3–13-0.0915%2 Aug
ancient2–13-0.0412%29 Jul
nuke10–130.0336%29 Jul
anubis13–110.0429%26 Jul
ancient16–140.0223%26 Jul
cache10–130.0218%26 Jul
nuke5–13-0.0427%25 Jul
cache7–13-0.0210%25 Jul
cache8–13-0.058%24 Jul
mirage2–13-0.0126%22 Jul
nuke16–13-0.0319%22 Jul
cache2–13-0.077%22 Jul
ancient3–130.0526%21 Jul
inferno2–13-0.0224%21 Jul
cache5–13-0.0819%30 Jun
inferno13–40.0726%30 Jun
anubis7–13-0.0413%30 Jun
ancient13–40.0227%28 Jun
inferno0–13-0.0733%26 Jun
mirage3–130.0124%26 Jun
nuke13–60.0714%15 Jun
ancient13–4-0.0511%13 Jun
inferno6–13-0.0528%24 May
nuke7–130.0421%24 May
inferno6–13-0.0528%24 May
ancient16–140.0518%24 May
overpass13–90.0217%24 May
overpass13–90.0217%24 May
ancient16–140.0518%24 May
overpass16–12-0.0211%23 May
inferno13–50.0614%23 May
overpass16–12-0.0211%23 May
ancient13–7-0.0515%23 May
dust213–70.0330%23 May
ancient13–7-0.0515%23 May
dust213–70.0330%23 May
mirage9–13-0.050%23 May
inferno14–16-0.0021%23 May
inferno14–16-0.0021%23 May
mirage9–13-0.050%23 May
overpass13–90.0123%22 May
nuke7–13-0.0419%22 May
ancient13–90.0114%22 May
inferno13–20.0114%22 May
mirage9–130.0029%22 May
anubis11–13-0.0821%24 Apr
ancient13–50.0110%22 Apr
dust28–130.0215%19 Apr
anubis11–13-0.0627%19 Apr
dust28–130.0215%19 Apr
anubis11–13-0.0627%19 Apr
nuke6–130.0218%19 Apr
mirage13–20.0526%19 Apr
nuke6–130.0218%19 Apr
mirage13–20.0526%19 Apr
ancient3–13-0.0419%19 Apr
inferno6–130.0319%18 Apr
mirage13–40.049%18 Apr
ancient5–130.0134%18 Apr
anubis9–13-0.0014%18 Apr
ancient8–130.0516%18 Apr
anubis11–13-0.0223%16 Apr
ancient13–80.0321%11 Apr
anubis7–13-0.0417%11 Apr
dust25–13-0.0728%11 Apr
anubis7–13-0.0417%11 Apr
dust25–13-0.0728%11 Apr
ancient13–80.0321%11 Apr
nuke13–8-0.0412%11 Apr
inferno11–130.0020%11 Apr
ancient6–13-0.0639%11 Apr
ancient6–13-0.0639%11 Apr
inferno11–130.0020%11 Apr
nuke13–8-0.0412%11 Apr
anubis8–13-0.0313%10 Apr
nuke6–13-0.0318%10 Apr
ancient13–70.0623%10 Apr
anubis9–130.0130%10 Apr
ancient13–8-0.0220%7 Apr
inferno8–13-0.0429%5 Apr
ancient9–130.0624%5 Apr
anubis13–8-0.0220%5 Apr
ancient13–10.1540%5 Apr
nuke16–120.0316%5 Apr
ancient10–13-0.0725%5 Apr
anubis13–30.0821%5 Apr
ancient13–9-0.069%5 Apr
ancient13–30.0827%22 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches11-Win Streak
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