lovesosa — CS2 Stats

76561198083814536[U:1:123548808]

825Tracked matches35%Win rate2020Tracked since
1,217Hours in CS6Hrs last 2 wks
CSDB Rating4.9 DevelopingClutch Specialist
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

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

Performance scores

Aim64
Positioning60
Utility45

0–100 skill scores via Leetify.

Recent form

COLD375112Last 10037%Win rateLLTLLLWLWT

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.4
Aggression7.9
Utility4.5
Positioning6.0
Opening Duels3.1
Clutch9.4

Strong CT-side openerReliable in 1v1s

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: opening-fight frequency, 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 52% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim6.4
Positioning6.0
Utility4.5
Mechanics5.6
Opening Duels3.1
Win Impact0.0

Composite 4.9/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time630ms+1ms
first ⅓ avg 629ms → last ⅓ avg 630ms
Headshot accuracy20.6%+2.5%
first ⅓ avg 18.1% → last ⅓ 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.

Highlights

0.11Best rating — inferno 5–4
131Biggest win — cache
7Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 67% over 6mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC47182938%-0.00
ancientD112918%-0.02
infernoC104640%0.02
overpassD82625%-0.01
mirageD71614%-0.04
anubisS64267%0.01
nukeD51420%0.00
train220100%0.04
boulder110100%0.01
dust2110100%0.05
office110100%0.03
vertigo1010%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,311Lifetime kills
0.78K/D
2,139Matches
37.8%Match win rate
47.7%Headshot % · Top 50% of tracked players
9.3%Shot accuracy
2,851MVPs
1,415Hours (in match)
1,254Bombs planted
809Bombs defused

Most-used weapons

Lifetime map wins

2,480dust2
2,451inferno
1,217nuke
727vertigo
548train
237cbble
69office
20italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

37Matches
57%Win rate
1.00Avg K/D
65.7ADR
44%Headshot %

Clutches & streaks

67%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%0.9213.5
Inferno560%1.2816.8
Anubis475%1.0919.0
Vertigo475%1.2813.3
Dust2367%0.5910.0
Overpass250%1.2814.0
Ancient250%0.6210.0
Nuke1100%1.6730.0

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
32.8%Accuracy (enemy spotted)
36.8%Spray accuracy
75.4%Counter-strafing
9.6°Preaim
632msReaction time
32.4%T opening success
52.2%CT opening success
0.41Enemies flashed / flash
4.3%Flash assists
7.30HE damage / grenade
10.87Flashes / 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. 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 0.4112 — below the 0.5 mark we flag

    Grenade Lineups
  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 32.4009% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0622%25 Aug
nuke5–130.0624%24 Aug
inferno12–120.0620%22 Aug
inferno3–130.0116%22 Aug
ancient8–130.0420%20 Aug
nuke6–13-0.0520%20 Aug
nuke13–80.0529%18 Aug
cache9–130.0120%18 Aug
boulder13–90.0119%18 Aug
nuke12–12-0.0339%11 Aug
train13–6-0.0318%8 Aug
overpass10–13-0.0219%5 Aug
inferno13–40.0319%2 Aug
cache4–13-0.0416%2 Aug
cache8–13-0.1314%30 Jul
nuke12–12-0.0321%29 Jul
cache10–13-0.0010%28 Jul
cache5–13-0.0524%27 Jul
cache1–13-0.0613%20 Jul
ancient5–13-0.0221%20 Jul
anubis13–100.0415%19 Jul
dust213–70.0515%19 Jul
ancient9–130.0225%17 Jul
mirage12–16-0.0327%13 Jul
cache12–12-0.0222%12 Jul
ancient5–13-0.0911%10 Jul
cache16–14-0.0423%10 Jul
cache5–60.0343%7 Jul
ancient13–30.0015%6 Jul
cache9–30.0325%6 Jul
inferno5–13-0.0419%5 Jul
overpass15–15-0.0218%5 Jul
inferno13–70.0020%5 Jul
anubis13–40.0625%4 Jul
cache8–130.0229%2 Jul
cache13–50.0238%2 Jul
overpass8–13-0.0022%30 Jun
cache13–90.0034%30 Jun
inferno11–13-0.0113%30 Jun
cache13–10-0.0324%24 Jun
inferno13–110.1020%22 Jun
cache3–13-0.073%22 Jun
cache13–50.0116%20 Jun
cache10–130.0330%20 Jun
mirage2–13-0.0725%20 Jun
overpass5–13-0.0221%16 Jun
inferno11–0-0.0345%16 Jun
cache12–12-0.0313%13 Jun
cache2–13-0.0415%13 Jun
cache5–13-0.0429%12 Jun
cache7–130.0220%11 Jun
inferno5–40.1133%11 Jun
office13–50.0311%9 Jun
mirage13–4-0.0513%9 Jun
cache9–130.0011%9 Jun
cache13–100.0317%6 Jun
ancient14–160.0420%3 Jun
cache12–120.0424%3 Jun
vertigo3–11-0.0417%3 Jun
cache12–12-0.0116%3 Jun
overpass2–13-0.0617%31 May
cache5–130.0319%30 May
cache13–50.0732%29 May
anubis10–13-0.039%27 May
cache11–130.0216%27 May
cache3–13-0.0211%22 May
ancient7–13-0.068%20 May
cache12–120.0129%20 May
cache6–130.0222%20 May
anubis13–80.028%19 May
mirage10–13-0.0412%19 May
ancient15–15-0.0118%18 May
anubis13–160.0117%18 May
mirage2–130.0032%17 May
cache6–13-0.0620%17 May
cache13–10.0713%17 May
cache13–30.0521%16 May
cache3–13-0.0215%15 May
cache13–50.0336%13 May
cache13–9-0.0814%10 May
cache12–120.1022%10 May
cache13–6-0.0420%10 May
overpass13–100.0218%8 May
cache13–70.0618%6 May
overpass13–50.0116%5 May
ancient13–11-0.0723%5 May
cache13–30.0329%4 May
cache13–110.0125%1 May
cache1–13-0.0921%1 May
cache13–10-0.0111%1 May
ancient13–16-0.017%29 Apr
mirage4–13-0.0413%29 Apr
cache11–13-0.0016%29 Apr
cache13–70.0415%29 Apr
ancient9–13-0.099%28 Apr
train13–20.117%25 Apr
inferno10–130.0020%25 Apr
anubis13–11-0.023%21 Apr
mirage10–13-0.0624%21 Apr
overpass15–15-0.0125%21 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →