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Lexi LOVE ๐Ÿ’”

Lexi LOVE ๐Ÿ’” โ€” CS2 Stats

US76561198185425395[U:1:225159667]Steam profile โ†—โœ“ No bans

1,812Tracked matches43%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
CSDB Leaderboard#201521 of 225470 tracked
FaceitLevel 8 ยท 1,998 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then โ€” still 1,812 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 15 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking โ†’

Rating over time

Premier CS Rating: 14,772 +761 31 Mar โ€“ 27 Jun ยท 16 days played
14,01115,141peak 15,14131 Mar27 Jun
15,363Peak Premier in tracked matches
1,998Highest Faceit ELO seen on CSDB
32Days played since 2026-03-15

Faceit ELO

  • At peak โ€” 1,998
  • Next: Level 10 at 2,001 โ€” 3 to go
  • Reached: Level 9 ยท Level 8 ยท Level 7 ยท Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier comes from this profileโ€™s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDBโ€™s own observation โ€” no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGLexi LOVE ๐Ÿ’”FACEITLevel 8 ยท 1,998 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,998csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ€” it is generated in your browser when you click.

Performance scores

Aim49
Positioning61
Utility45

0โ€“100 skill scores via Leetify.

Recent form

STEADY46โ€“52โ€“2Last 10046%Win rateWLWLLWLLWW

Last 10 vs previous 10: +20pp win rate ยท โˆ’0.01 avg rating ยท โˆ’1.4pp headshot accuracy ยท +13ms reaction

Win rate up 20pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp). Average match rating moved the other way (โˆ’0.01), so results shifted more than performance did.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 2โ€“3 ยท 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 674ms

Last 10

  • 5โ€“5 ยท 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 663ms

Last 20

  • 8โ€“12 ยท 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 656ms

Newest first, from the last 100 tracked matches. Each block is its own sample โ€” one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player โ€” Positioning stands above the rest of this profile (+1.5 against its own average).

Aim4.9
Utility4.5
Positioning6.1
Opening Duels3.8
Clutch4.2

Style profile from tracked-match aggregates โ€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use โ€” so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 76% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 50% on CT to 33% on T โ€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers โ€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.9
Positioning6.1
Utility4.5
Mechanics5.8
Opening Duels2.8
Win Impact2.8

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first โ…“ avg -0.01 โ†’ last โ…“ avg 0.00
Reaction time663msโˆ’53ms
first โ…“ avg 716ms โ†’ last โ…“ avg 663ms
Headshot accuracy20.6%โˆ’1.9%
first โ…“ avg 22.5% โ†’ last โ…“ avg 20.6%

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.

Personal bests

0.14Best match rating ยท 13โ€“7 ยท cache, 6 Jun โ†’
67%Best headshot accuracy ยท 2โ€“13 ยท mirage, 21 Apr โ†’
406msFastest reaction time ยท 6โ€“0 ยท overpass, 31 Mar โ†’
13โ€“1Biggest win ยท dust2, 31 Mar โ†’

Across the last 100 tracked matches.

Highlights

7Longest win streak
6โ€“11In matches decided by โ‰ค2 rounds
12Overtime games

Map breakdown

cacheBest map ยท 64% over 11ancientWeakest map ยท 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2817โ€“1161%0.01
nukeD174โ€“1324%-0.01
ancientD133โ€“1023%-0.02
cacheA117โ€“464%0.02
dust2A116โ€“555%-0.02
overpassA95โ€“456%-0.01
infernoC52โ€“340%-0.02
anubisโ€”41โ€“325%-0.03
shelterโ€”10โ€“10%0.03
vertigoโ€”11โ€“0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,153Matches
53%Win rate
0.83Avg K/D
63.5ADR
47%Headshot %

Clutches & streaks

41%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage22357%0.8512.5
Ancient5753%0.7712.7
Anubis4762%0.9214.3
Dust23951%0.7512.4
Vertigo2741%0.7211.2
Nuke2552%0.8114.6
Overpass2138%0.8314.0
Inferno1741%0.5910.9

Faceit-match stats via the FACEIT Data API โ€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches โ€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.0%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.4%Spray accuracy
76.2%Counter-strafing
11.0ยฐPreaim
664msReaction time
32.7%T opening success
49.9%CT opening success
0.47Enemies flashed / flash
4.8%Flash assists
6.18HE damage / grenade
13.61Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4705 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
  2. 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 32.7246% โ€” below the 40% mark we flag

Spend your practice time on Ancient

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

23% win rate across 13 tracked games โ€” your weakest map with enough games to be worth reading into.

Ancient callouts & strategy โ†’Ancient grenade lineups โ†’

Recent matches

MapScoreRatingHS%Date
cache13โ€“10-0.0017%8 Aug โ†’
mirage10โ€“130.0528%6 Aug โ†’
mirage13โ€“9-0.0220%6 Aug โ†’
mirage7โ€“13-0.0512%2 Aug โ†’
ancient8โ€“13-0.0821%2 Aug โ†’
cache13โ€“60.0317%2 Aug โ†’
dust211โ€“130.0426%1 Aug โ†’
ancient7โ€“130.0318%1 Aug โ†’
cache13โ€“3-0.0116%1 Aug โ†’
mirage13โ€“80.0216%1 Aug โ†’
shelter7โ€“130.0330%25 Jul โ†’
mirage13โ€“8-0.0224%12 Jul โ†’
cache5โ€“130.0127%12 Jul โ†’
nuke11โ€“130.0114%12 Jul โ†’
cache9โ€“13-0.0221%12 Jul โ†’
ancient9โ€“130.0112%27 Jun โ†’
overpass9โ€“13-0.0113%20 Jun โ†’
mirage4โ€“13-0.0325%20 Jun โ†’
nuke19โ€“160.0521%19 Jun โ†’
dust222โ€“200.0418%19 Jun โ†’
inferno11โ€“13-0.0316%14 Jun โ†’
overpass16โ€“14-0.0418%14 Jun โ†’
ancient14โ€“160.0624%14 Jun โ†’
nuke11โ€“13-0.0429%14 Jun โ†’
mirage16โ€“14-0.0316%13 Jun โ†’
mirage8โ€“130.0122%13 Jun โ†’
overpass13โ€“50.0018%13 Jun โ†’
anubis7โ€“13-0.0421%13 Jun โ†’
nuke13โ€“8-0.0026%13 Jun โ†’
mirage13โ€“6-0.0115%7 Jun โ†’
cache13โ€“70.1431%6 Jun โ†’
vertigo13โ€“50.0427%6 Jun โ†’
cache13โ€“80.0120%6 Jun โ†’
anubis13โ€“80.0725%6 Jun โ†’
ancient3โ€“130.0120%6 Jun โ†’
dust24โ€“13-0.0912%31 May โ†’
cache13โ€“20.0716%30 May โ†’
dust210โ€“13-0.0426%30 May โ†’
mirage13โ€“100.0123%28 May โ†’
nuke8โ€“130.0122%28 May โ†’
cache13โ€“110.0529%27 May โ†’
cache3โ€“13-0.0424%27 May โ†’
nuke13โ€“10-0.0311%26 May โ†’
mirage6โ€“130.0124%5 May โ†’
cache4โ€“13-0.0023%5 May โ†’
dust213โ€“40.0522%5 May โ†’
ancient2โ€“10-0.0527%5 May โ†’
mirage12โ€“16-0.0221%4 May โ†’
dust213โ€“9-0.0221%28 Apr โ†’
nuke13โ€“4-0.0113%28 Apr โ†’
ancient11โ€“13-0.0416%28 Apr โ†’
inferno5โ€“13-0.0315%28 Apr โ†’
ancient13โ€“70.0324%22 Apr โ†’
mirage11โ€“130.0623%22 Apr โ†’
nuke11โ€“13-0.0520%22 Apr โ†’
mirage7โ€“130.0119%21 Apr โ†’
mirage16โ€“120.0319%21 Apr โ†’
mirage2โ€“13-0.0767%21 Apr โ†’
anubis2โ€“13-0.0767%21 Apr โ†’
mirage6โ€“3-0.0131%21 Apr โ†’
overpass16โ€“120.0631%15 Apr โ†’
nuke2โ€“13-0.0632%15 Apr โ†’
mirage15โ€“15-0.0319%14 Apr โ†’
nuke9โ€“13-0.0024%14 Apr โ†’
mirage16โ€“130.0125%14 Apr โ†’
ancient0โ€“5-0.160%12 Apr โ†’
mirage13โ€“80.0315%12 Apr โ†’
dust20โ€“13-0.0417%12 Apr โ†’
overpass13โ€“110.0133%12 Apr โ†’
mirage12โ€“16-0.0130%12 Apr โ†’
mirage13โ€“40.0320%6 Apr โ†’
dust213โ€“100.0423%5 Apr โ†’
dust213โ€“10.0048%31 Mar โ†’
overpass6โ€“00.0520%31 Mar โ†’
mirage13โ€“8-0.0437%31 Mar โ†’
mirage13โ€“30.039%31 Mar โ†’
inferno13โ€“30.0113%31 Mar โ†’
overpass0โ€“1-0.070%31 Mar โ†’
ancient9โ€“130.0126%31 Mar โ†’
inferno13โ€“3-0.0025%31 Mar โ†’
mirage16โ€“140.0825%31 Mar โ†’
nuke9โ€“130.0516%31 Mar โ†’
dust25โ€“13-0.0411%31 Mar โ†’
nuke6โ€“130.0626%31 Mar โ†’
overpass5โ€“13-0.0521%31 Mar โ†’
mirage13โ€“80.0719%31 Mar โ†’
mirage13โ€“90.0418%31 Mar โ†’
anubis0โ€“5-0.1027%31 Mar โ†’
mirage13โ€“8-0.0118%31 Mar โ†’
nuke12โ€“12-0.0633%30 Mar โ†’
inferno5โ€“13-0.0816%29 Mar โ†’
ancient13โ€“40.0233%29 Mar โ†’
nuke8โ€“130.0423%29 Mar โ†’
ancient13โ€“5-0.0321%29 Mar โ†’
nuke9โ€“13-0.0418%29 Mar โ†’
overpass9โ€“13-0.0514%29 Mar โ†’
nuke11โ€“13-0.0712%29 Mar โ†’
nuke11โ€“13-0.0520%15 Mar โ†’
dust213โ€“6-0.1257%15 Mar โ†’
ancient1โ€“13-0.0813%15 Mar โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’

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