Lovewomens1313

Lovewomens1313 — CS2 Stats

DE76561198177377669[U:1:217111941]Steam profile ↗✓ No bans

1,155Tracked matches45%Win rate2022Tracked since
648Hours in CS
CSDB Rating5.2 DevelopingSupport
Premier CS Rating20,298Top 50% of 215,386 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#80170 of 261617 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,298 +7,061 5 Jul – 25 Oct · 27 days played
13,23720,625peak 20,6255 Jul25 Oct
20,625Peak Premier in tracked matches
41Days played since 2026-07-05

Premier CS Rating

  • 327 below peak (20,625)
  • +5,177 over 90 days
  • Next: Red band at 25,000 — 4,702 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate39.6%43.8%44.8%5.2% short
Shot accuracy7.3%12.0%12.4%5.1% short
Kill/death ratio0.991.021.030.04 short
Match win rate44.2%44.7%45.2%1.0% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLovewomens1313FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,298 · Pink bandcsdb.gg/stats

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

Performance scores

Aim59
Positioning53
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLLLWTWWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · +76ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 556ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 560ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 522ms

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

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim5.9
Utility6.1
Positioning5.3
Opening Duels1.0
Clutch4.8

Style profile from tracked-match aggregates — 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 — 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: utility contribution, positioning profile.

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim5.9
Positioning5.3
Utility6.1
Mechanics6.0
Opening Duels1.3
Win Impact3.3

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time530ms−103ms
first ⅓ avg 633ms → last ⅓ avg 530ms
Headshot accuracy15.1%−0.4%
first ⅓ avg 15.5% → last ⅓ avg 15.1%

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

0.17Best match rating · 13–7 · cache, 7 Sept →
34%Best headshot accuracy · 6–13 · inferno, 3 Sept →
375msFastest reaction time · 4–13 · dust2, 17 Sept →
13–1Biggest win · dust2, 7 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 71% over 14dust2Weakest map · 39% over 31
MapGradePlayedRecordWin rateAvg rating
dust2C3112–1939%-0.00
cacheB2413–1154%0.01
mirageS1410–471%0.00
nukeA127–558%0.01
infernoA116–555%-0.01
ancientC52–340%-0.01
anubis—21–150%0.01
shelter—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,967Lifetime kills
0.99K/D
1,910Matches
44.2%Match win rate
39.6%Headshot %
7.3%Shot accuracy
3,344MVPs
648Hours (in match)
1,687Bombs planted
316Bombs defused

Most-used weapons

Lifetime map wins

4,519dust2
2,605nuke
1,940inferno
541vertigo
374train
105office
45italy
38bank

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

Faceit stats

Combat

56Matches
55%Win rate
1.03Avg K/D
80.4ADR
39%Headshot %

Clutches & streaks

44%1v1 clutch win
40%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1030%0.9213.7
Anubis956%0.9814.6
Nuke683%1.1914.0
Vertigo540%0.9713.2
Inferno4100%1.0316.3
Ancient333%0.8711.0
Dust2333%1.2720.7
Overpass2100%1.6219.5

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.

14.9%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.1%Spray accuracy
76.8%Counter-strafing
10.5°Preaim
529msReaction time
29.2%T opening success
40.7%CT opening success
0.59Enemies flashed / flash
4.7%Flash assists
8.75HE damage / grenade
11.01Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.89% — below the 15% mark we flag

    Aim Training →
  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 29.2229% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.0311%25 Oct →
dust29–130.0013%24 Oct →
dust210–13-0.0416%24 Oct →
cache13–100.0211%23 Oct →
mirage15–15-0.0513%18 Oct →
cache13–4-0.018%14 Oct →
anubis13–9-0.0119%14 Oct →
cache8–13-0.0311%14 Oct →
mirage10–10.0416%9 Oct →
cache11–13-0.023%7 Oct →
anubis8–130.0320%7 Oct →
mirage4–00.1018%7 Oct →
dust213–4-0.0210%4 Oct →
dust211–13-0.0720%4 Oct →
dust24–50.0214%1 Oct →
cache4–13-0.0214%22 Sept →
dust26–13-0.0411%22 Sept →
dust24–13-0.1310%17 Sept →
inferno9–13-0.0611%7 Sept →
cache13–70.1713%7 Sept →
cache7–13-0.0320%6 Sept →
cache13–70.0922%5 Sept →
dust213–3-0.0112%5 Sept →
dust25–13-0.0018%4 Sept →
dust28–130.0325%4 Sept →
dust216–130.0018%3 Sept →
dust213–5-0.0013%3 Sept →
inferno6–13-0.0334%3 Sept →
dust213–50.0411%3 Sept →
nuke13–80.0214%3 Sept →
mirage13–30.0021%1 Sept →
cache16–14-0.0516%1 Sept →
cache13–40.0113%1 Sept →
cache16–14-0.0122%30 Aug →
dust213–70.0916%30 Aug →
mirage13–90.0018%30 Aug →
mirage16–120.0414%28 Aug →
cache13–50.0715%28 Aug →
dust29–13-0.0614%25 Aug →
cache13–10-0.0516%25 Aug →
dust213–110.0219%23 Aug →
inferno13–10-0.0110%23 Aug →
cache7–13-0.0610%16 Aug →
nuke13–30.1017%16 Aug →
inferno13–70.059%16 Aug →
nuke11–13-0.0610%10 Aug →
dust28–130.065%9 Aug →
nuke2–13-0.0111%9 Aug →
inferno13–60.0613%9 Aug →
inferno13–9-0.019%9 Aug →
nuke16–140.0212%9 Aug →
mirage13–6-0.029%8 Aug →
mirage7–3-0.0511%7 Aug →
nuke8–13-0.075%7 Aug →
dust28–130.0123%6 Aug →
dust24–13-0.0713%6 Aug →
mirage16–13-0.049%3 Aug →
cache13–100.0214%3 Aug →
ancient3–13-0.049%3 Aug →
nuke13–80.0414%2 Aug →
mirage4–7-0.0611%2 Aug →
dust27–130.0013%28 Jul →
dust213–60.0512%27 Jul →
inferno13–90.0115%27 Jul →
mirage5–130.0117%27 Jul →
dust24–00.096%27 Jul →
nuke5–130.0329%27 Jul →
cache13–30.1317%27 Jul →
cache12–120.0213%27 Jul →
cache11–13-0.0726%23 Jul →
shelter8–13-0.059%23 Jul →
cache8–13-0.0011%19 Jul →
inferno5–13-0.0610%19 Jul →
ancient13–9-0.0117%14 Jul →
cache9–13-0.0113%14 Jul →
inferno8–13-0.0512%14 Jul →
inferno13–30.0020%13 Jul →
dust27–130.0014%13 Jul →
nuke5–130.024%13 Jul →
dust211–13-0.0813%13 Jul →
nuke13–10-0.0411%12 Jul →
mirage7–130.0217%12 Jul →
nuke13–30.0514%12 Jul →
ancient13–10-0.009%12 Jul →
mirage13–10-0.0120%10 Jul →
dust210–13-0.1016%10 Jul →
dust213–8-0.0012%10 Jul →
dust215–15-0.0419%10 Jul →
dust213–110.0620%9 Jul →
ancient11–130.0616%9 Jul →
cache15–150.0012%9 Jul →
dust28–130.0019%8 Jul →
cache10–13-0.0819%8 Jul →
dust212–120.0314%7 Jul →
cache7–30.0332%7 Jul →
dust213–10.076%7 Jul →
ancient9–13-0.0718%5 Jul →
mirage16–140.0420%5 Jul →
cache13–9-0.0220%5 Jul →
nuke13–70.0622%5 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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