MONSTER LOVER>>>

MONSTER LOVER>>> — CS2 Stats

UZ76561199847793803[U:1:1887528075]Steam profile ↗✓ No bans

249Tracked matches54%Win rate2025Tracked since
635Hours in CS10Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating16,492Purple band · top ~22.5% of ranked players (population est.)
WingmanGold Nova Master
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.

0Premier CS Rating · 16,492 → 16,492
+2Tracked matches · now 249
+3.6ppWin rate · 50.0% → 53.6%
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. 47 days played since 19 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,492 +2,084 19 May1 Sept · 18 days played
14,40816,517peak 16,51719 May1 Sept
16,517Peak Premier in tracked matches
47Days played since 2026-05-19

Premier CS Rating

  • 25 below peak (16,517)
  • +188 over 30 days · steady
  • +1,369 over 90 days
  • Next: Pink band at 20,000 3,508 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches209+11
Win rate25%22%+3pp
K/D0.570.60−0.04
Headshot %53%51%+2pp

Measured 9 Sep 202618 Sep 2026; previous 4 Sep 2026 → 9 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=35,214), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.0%44.3%47.0%meets
Shot accuracy0.0%11.8%13.0%13.0% short
Kill/death ratio0.781.031.080.30 short
Match win rate34.7%45.2%46.7%12.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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CSDB.GGMONSTER LOVER>>>PREMIER16,492 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning56
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54406Last 10054%Win rateWWLLTLLWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · +79ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 601ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 650ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim5.6
Utility4.7
Positioning5.6
Opening Duels2.9

Strong CT-side openerLimited utility dependence

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

jL

Plays most like jL 82% 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 — 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 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning5.6
Utility4.7
Mechanics3.4
Opening Duels2.7
Win Impact6.2

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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time610ms−43ms
first ⅓ avg 653ms → last ⅓ avg 610ms
Headshot accuracy15.5%−0.2%
first ⅓ avg 15.7% → last ⅓ avg 15.5%

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

0.25Best match rating · 13–0 · anubis, 5 Jul
42%Best headshot accuracy · 13–6 · anubis, 13 Jul
391msFastest reaction time · 6–9 · inferno, 27 Jul
13–0Biggest win · anubis, 5 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
86In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 78% over 9vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB1991047%0.04
nukeC1761135%0.05
anubisA1610663%0.03
dust2S1310377%0.03
mirageB115645%-0.01
ancientS97278%0.01
vertigoD62433%0.06
overpassC52340%0.04
cache21150%-0.00
office110100%0.06
train110100%0.06

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,808Lifetime kills
0.78K/D
1,476Matches
34.7%Match win rate
47.0%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
2,880MVPs
372Hours (in match)
701Bombs planted
283Bombs defused

Most-used weapons

Lifetime map wins

2,426dust2
1,553inferno
854nuke
362vertigo
192train
51office
4ar_shoots

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

Skill profile

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

14.8%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.4%Spray accuracy
65.1%Counter-strafing
9.6°Preaim
608msReaction time
31.0%T opening success
51.0%CT opening success
0.62Enemies flashed / flash
9.9%Flash assists
5.51HE damage / grenade
4.29Flashes / 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 14.8118% — 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 30.9523% — below the 40% mark we flag

Spend your practice time on Vertigo

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–30.0739%7 Sept
office13–40.0622%2 Sept
inferno7–13-0.0213%31 Aug
mirage7–13-0.0213%22 Aug
mirage12–120.0313%20 Aug
mirage5–13-0.095%10 Aug
nuke7–90.0120%9 Aug
inferno9–30.0726%9 Aug
anubis7–13-0.0710%3 Aug
vertigo13–10.1314%1 Aug
anubis13–80.1018%30 Jul
anubis6–13-0.0813%30 Jul
anubis6–130.1416%28 Jul
dust213–4-0.0117%28 Jul
mirage9–20.0313%27 Jul
inferno6–9-0.0715%27 Jul
anubis13–110.0814%27 Jul
anubis7–13-0.0222%26 Jul
dust213–110.0614%22 Jul
dust213–70.0913%22 Jul
nuke14–16-0.038%21 Jul
dust213–110.039%20 Jul
anubis6–130.0114%20 Jul
ancient13–110.0212%20 Jul
cache16–130.0619%20 Jul
dust29–13-0.0717%19 Jul
nuke7–13-0.0512%19 Jul
anubis10–4-0.0315%19 Jul
nuke13–80.0312%17 Jul
vertigo12–120.1018%17 Jul
dust213–70.0722%16 Jul
nuke11–130.1511%15 Jul
ancient14–160.0113%14 Jul
dust25–13-0.0814%14 Jul
dust213–80.0123%14 Jul
ancient13–80.0422%14 Jul
mirage3–13-0.0720%14 Jul
mirage13–70.1025%13 Jul
anubis13–60.0842%13 Jul
dust213–70.1027%13 Jul
cache3–13-0.0727%12 Jul
ancient13–9-0.0228%11 Jul
mirage1–13-0.0629%11 Jul
nuke6–130.0120%11 Jul
nuke16–140.1518%9 Jul
inferno13–80.1423%9 Jul
inferno9–130.0816%7 Jul
inferno13–50.0120%5 Jul
anubis13–00.2522%5 Jul
overpass4–130.1320%5 Jul
train13–20.0620%5 Jul
inferno3–9-0.1433%4 Jul
vertigo13–60.1321%4 Jul
nuke13–60.0820%3 Jul
mirage13–50.0613%3 Jul
nuke12–120.2014%1 Jul
nuke6–9-0.060%1 Jul
dust29–50.037%1 Jul
dust213–110.0025%30 Jun
ancient13–11-0.0511%30 Jun
nuke9–30.1216%30 Jun
inferno7–130.1815%27 Jun
inferno13–70.018%24 Jun
nuke5–13-0.0211%24 Jun
ancient13–30.0115%24 Jun
anubis13–10-0.0413%24 Jun
anubis13–1-0.0113%23 Jun
inferno9–40.096%17 Jun
anubis13–00.029%17 Jun
mirage13–6-0.0510%17 Jun
inferno5–130.1011%15 Jun
inferno9–30.1626%14 Jun
vertigo12–120.1215%14 Jun
anubis13–80.0518%14 Jun
mirage4–13-0.0912%9 Jun
nuke4–13-0.055%9 Jun
ancient16–130.0212%8 Jun
nuke3–90.0133%8 Jun
inferno2–9-0.0612%8 Jun
overpass11–130.0429%7 Jun
nuke13–20.1711%7 Jun
overpass13–7-0.0611%4 Jun
vertigo12–120.0212%4 Jun
dust213–50.0915%4 Jun
anubis13–9-0.0211%3 Jun
inferno9–00.0025%2 Jun
ancient13–10.0916%2 Jun
nuke5–90.0311%30 May
inferno9–70.2221%30 May
inferno9–30.0920%30 May
anubis10–13-0.059%30 May
inferno8–8-0.0214%28 May
nuke9–50.1220%28 May
inferno3–9-0.0622%28 May
vertigo2–9-0.1629%24 May
inferno7–13-0.0417%24 May
overpass6–00.1112%24 May
dust210–130.0720%24 May
ancient0–6-0.037%19 May
overpass11–13-0.0121%19 May

Match data via Leetify.

Recent teammates

Milestones

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