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glovmpop

glovmpop — CS2 Stats

SE76561198017473415[U:1:57207687]Steam profile ↗✓ No bans

578Tracked matches37%Win rate2020Tracked since
3,309Hours in CS5Hrs last 2 wks
CSDB Rating4.6 Developing
FaceitLevel 8 · 1,747 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 medianLevel 9 medianvs Level 9
Headshot rate49.2%47.0%48.5%meets
Shot accuracy17.7%12.7%13.3%above
Kill/death ratio1.141.071.07above
Match win rate40.4%46.4%47.0%6.6% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGglovmpopFACEITLevel 8 · 1,747 ELOSTANDINGTop 31.2% of rankedcsdb.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
Positioning56
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY48–40–12Last 10048%Win rateWWLWLLWLWL

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

Player DNA

Aim5.9
Aggression7.1
Utility5.3
Positioning5.6
Opening Duels2.5
Clutch3.4

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 88% 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

Reaction time. 565ms 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

Aim5.9
Positioning5.6
Utility5.3
Mechanics5.6
Opening Duels2.5
Win Impact0.7

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

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time549ms−50ms
first ⅓ avg 600ms → last ⅓ avg 549ms
Headshot accuracy18.7%−2.3%
first ⅓ avg 21.0% → last ⅓ avg 18.7%

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

0.18Best rating — inferno 13–4
13–0Biggest win — dust2
7Longest win streak
W2Current streak
4–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 80% over 15cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA1911–858%0.04
ancientS1512–380%0.02
mirageC146–843%0.02
overpassC135–838%0.01
nukeC114–736%0.00
dust2C114–736%0.01
anubisC94–544%0.01
cacheD62–433%-0.02
vertigo—10–10%0.06
train—10–10%0.04

Across the last 100 tracked matches.

Lifetime stats

180,665Lifetime kills
1.14K/D · Top 50% of Level 8 players
6,684Matches
40.4%Match win rate
49.2%Headshot % · Top 50% of Level 8 players
17.7%Shot accuracy · Top 10% of Level 8 players
24,342MVPs
2,729Hours (in match)
7,030Bombs planted
5,939Bombs defused

Most-used weapons

AK-4775,396
M4A4 / M4A1-S33,492
AWP21,892
Desert Eagle11,401
P2000 / USP-S11,131
Glock-188,483
Five-SeveN2,078
MAC-101,726
P2501,709
UMP-451,554

Lifetime map wins

11,406inferno
8,121dust2
3,631train
3,538cbble
2,982nuke
1,372vertigo
59lake
34stmarc

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

Faceit stats

Combat

227Matches
56%Win rate
1.18Avg K/D
73.1ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1958%1.0614.7
Dust21619%0.8213.8
Inferno1479%0.9814.1
Mirage1338%0.9715.8
Overpass1090%1.1816.6
Anubis862%1.0914.9
Nuke367%1.1917.3
Vertigo10%0.569.0

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.

18.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
34.8%Spray accuracy
75.0%Counter-strafing
10.6°Preaim
565msReaction time
36.3%T opening success
43.5%CT opening success
0.60Enemies flashed / flash
6.5%Flash assists
10.32HE damage / grenade
9.66Flashes / 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 36.2931% — 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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–70.0322%29 Aug →
inferno16–120.0530%29 Aug →
nuke6–13-0.0323%29 Aug →
ancient13–110.0822%29 Aug →
anubis11–13-0.0325%29 Aug →
cache3–80.0129%25 Aug →
anubis13–70.0618%15 Aug →
nuke9–13-0.0118%15 Aug →
ancient13–3-0.0015%15 Aug →
inferno11–130.0914%15 Aug →
dust23–130.000%16 Jul →
mirage16–130.0513%16 Jun →
ancient12–16-0.0224%16 Jun →
mirage13–70.0424%8 Jun →
mirage13–40.0613%8 Jun →
cache12–12-0.0523%1 May →
cache3–13-0.0221%1 May →
cache3–13-0.0229%1 May →
cache13–9-0.0716%1 May →
overpass15–150.0812%13 Apr →
anubis9–13-0.0110%13 Apr →
inferno6–130.0526%13 Apr →
mirage9–130.0315%13 Apr →
inferno13–100.0016%8 Apr →
ancient4–13-0.065%8 Apr →
overpass12–16-0.0120%26 Mar →
dust211–13-0.0619%13 Mar →
ancient12–120.0216%13 Mar →
inferno10–130.0016%8 Mar →
dust24–13-0.0324%8 Mar →
dust210–13-0.0420%7 Mar →
mirage9–13-0.0225%7 Mar →
nuke11–130.0416%7 Mar →
inferno11–13-0.0216%7 Mar →
ancient13–90.0117%7 Mar →
mirage12–12-0.0513%21 Feb →
mirage7–13-0.0522%20 Feb →
dust213–50.0016%20 Feb →
ancient13–9-0.0210%20 Feb →
overpass13–6-0.0215%20 Feb →
nuke13–6-0.0513%20 Feb →
mirage13–90.0417%20 Feb →
inferno13–80.0115%20 Feb →
dust213–80.0020%20 Feb →
mirage12–12-0.0518%20 Feb →
nuke8–80.0621%20 Feb →
inferno11–130.0117%15 Feb →
dust213–50.1321%15 Feb →
inferno13–30.1626%15 Feb →
overpass13–6-0.0221%15 Feb →
overpass15–150.0229%14 Feb →
nuke13–6-0.0120%14 Feb →
anubis13–10-0.0017%14 Feb →
inferno13–50.0921%14 Feb →
overpass8–13-0.0610%13 Feb →
dust210–130.0719%13 Feb →
overpass13–40.1018%13 Feb →
ancient13–80.0318%13 Feb →
anubis13–40.1314%13 Feb →
nuke13–4-0.0027%13 Feb →
inferno13–90.0716%13 Feb →
anubis9–130.0315%13 Feb →
mirage13–16-0.0311%13 Feb →
overpass8–13-0.0216%13 Feb →
ancient13–7-0.0124%13 Feb →
ancient13–90.0727%13 Feb →
inferno13–7-0.0221%26 Jan →
anubis13–100.0628%24 Jan →
inferno13–40.1820%24 Jan →
overpass4–130.0017%24 Jan →
anubis4–13-0.0912%24 Jan →
dust210–130.0125%24 Jan →
anubis13–16-0.0219%22 Jan →
inferno13–80.0419%22 Jan →
overpass12–12-0.0225%20 Jan →
mirage12–120.0831%20 Jan →
vertigo12–120.0621%18 Jan →
mirage13–110.0921%12 Jan →
ancient13–110.0519%12 Jan →
ancient13–7-0.0225%12 Jan →
dust213–00.1219%12 Jan →
overpass13–50.0633%7 Jan →
overpass13–60.0917%5 Jan →
mirage11–130.0320%5 Jan →
inferno8–13-0.068%4 Jan →
mirage16–140.0222%4 Jan →
nuke15–150.0421%4 Jan →
inferno11–13-0.0013%3 Jan →
nuke15–15-0.0731%3 Jan →
ancient13–30.0914%3 Jan →
ancient13–30.1016%3 Jan →
overpass10–13-0.0216%3 Jan →
inferno13–50.0635%2 Jan →
train7–130.0426%2 Jan →
ancient13–100.0513%2 Jan →
inferno11–13-0.0136%2 Jan →
nuke13–90.0513%27 Dec →
nuke7–130.0226%27 Dec →
inferno13–50.0516%27 Dec →
dust23–13-0.0913%27 Dec →

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 →

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