GlosWe

GlosWe — CS2 Stats

76561198018748432[U:1:58482704]Steam profile ↗✓ No bans

823Tracked matches54%Win rate2020Tracked since
2,566Hours in CS
CSDB Rating5.7 SolidClutch Specialist
CSDB Leaderboard#12467 of 240917 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 28 Jan 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 26,006 +3,885 28 Jan4 Jan · 29 days played
18,60226,632peak 26,63228 Jan4 Jan
26,632Peak Premier in tracked matches
45Days played since 2024-01-28

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 10 among CSDB-tracked players (n=28,192), 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 10 median
Headshot rate46.3%51.0%
Shot accuracy19.6%13.7%
Kill/death ratio1.191.09
Match win rate53.8%48.4%

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CSDB.GGGlosWeFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning54
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWWLWWLWTLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −3.4pp headshot accuracy · −36ms 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

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 575ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 593ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+4 against its own average).

Aim6.9
Utility4.3
Positioning5.4
Opening Duels2.7
Clutch9.4

Effective flashesReliable 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.

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim6.9
Positioning5.4
Utility4.3
Mechanics7.4
Opening Duels1.6
Win Impact6.2

Composite 5.7/10 (Solid), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time600ms−21ms
first ⅓ avg 622ms → last ⅓ avg 600ms
Headshot accuracy23.3%−2.8%
first ⅓ avg 26.1% → last ⅓ avg 23.3%

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

0.19Best match rating · 13–3 · nuke, 3 Feb
50%Best headshot accuracy · 6–8 · nuke, 2 Mar
469msFastest reaction time · 13–4 · train, 25 Nov
13–2Biggest win · mirage, 26 Dec

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
118In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 64% over 11mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA169756%0.01
anubisB157847%0.02
nukeA148657%0.03
ancientA138562%0.03
overpassB126650%0.00
dust2A117464%0.03
vertigoC114736%0.02
mirageD51420%0.03
train330100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

137,104Lifetime kills
1.19K/D · Top 50% of Level 10 players
4,911Matches
53.8%Match win rate · Top 25% of Level 10 players
46.3%Headshot %
19.6%Shot accuracy · Top 10% of Level 10 players
20,430MVPs
2,566Hours (in match)
6,223Bombs planted
1,498Bombs defused

Most-used weapons

AK-4750,467
AWP9,865
P2503,729
Knife2,933
SG 5532,833
FAMAS1,634

Lifetime map wins

12,537inferno
7,832dust2
5,623nuke
4,484train
4,114vertigo
2,759cbble
165office
132lake

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

Faceit stats

Combat

1,073Matches
52%Win rate
1.26Avg K/D
84.5ADR
43%Headshot %

Clutches & streaks

67%1v1 clutch win
100%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno475%1.6220.0
Anubis450%1.0618.8
Ancient475%1.5024.3
Vertigo3100%1.3921.0
Train367%0.9513.0
Nuke367%1.2918.7
Dust2333%1.3915.7
Mirage1100%1.1416.0

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.

23.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
32.0%Spray accuracy
83.4%Counter-strafing
10.1°Preaim
606msReaction time
26.1%T opening success
43.0%CT opening success
0.75Enemies flashed / flash
9.3%Flash assists
9.62HE damage / grenade
5.18Flashes / 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 26.1315% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0315%29 Jun
anubis13–6-0.0317%29 Jun
dust29–13-0.0228%22 May
overpass13–11-0.0114%22 May
ancient13–40.1425%22 May
anubis8–13-0.0327%9 May
inferno13–40.0036%9 May
ancient15–15-0.0120%3 May
inferno11–130.0123%3 May
dust29–130.0616%15 Mar
inferno10–13-0.0121%4 Jan
dust27–13-0.0531%3 Jan
dust213–60.1333%2 Jan
overpass9–13-0.0610%14 Nov
nuke16–13-0.0017%14 Nov
overpass6–13-0.0612%28 Sept
inferno10–13-0.0337%28 Sept
overpass4–13-0.0119%28 Sept
ancient13–50.1240%28 Sept
dust213–70.0535%28 Sept
nuke7–13-0.0237%18 Sept
train13–110.0524%17 Sept
overpass13–110.0436%17 Sept
nuke13–7-0.0115%16 Sept
inferno13–11-0.0121%16 Sept
inferno13–110.1124%1 Feb
mirage5–13-0.0018%22 Jan
nuke9–130.0213%22 Jan
vertigo15–150.0522%26 Dec
mirage13–20.0421%26 Dec
inferno13–100.0216%26 Dec
train13–40.0520%25 Nov
nuke13–60.1326%25 Nov
train13–11-0.0220%22 Nov
anubis0–9-0.0440%22 Nov
nuke13–110.0840%21 Nov
anubis11–130.0444%10 Nov
nuke2–13-0.1032%8 Oct
ancient11–13-0.0442%4 Oct
mirage1–130.0633%4 Oct
inferno2–8-0.0611%3 Oct
vertigo13–70.0237%3 Oct
anubis16–120.0323%21 Sept
ancient13–30.0411%17 Sept
inferno7–13-0.026%16 Sept
anubis13–90.0419%16 Sept
vertigo6–13-0.0414%16 Sept
ancient13–100.0217%2 Jul
dust213–40.0623%2 Jul
vertigo15–150.0019%27 Jun
dust213–60.0423%27 Jun
vertigo13–100.0713%23 Jun
anubis13–20.0620%22 Jun
dust216–14-0.0037%22 Jun
inferno13–60.0212%22 Jun
ancient13–11-0.0018%22 Jun
mirage11–130.0118%22 Jun
nuke13–5-0.0119%22 Jun
vertigo2–13-0.1319%22 Jun
nuke13–20.1824%15 Jun
vertigo6–130.0432%15 Jun
anubis10–13-0.0121%15 Jun
mirage9–130.0340%5 Jun
inferno12–16-0.0715%23 May
dust23–4-0.060%28 Apr
overpass14–16-0.0035%2 Apr
anubis5–13-0.0415%30 Mar
vertigo13–110.0122%30 Mar
dust213–20.1633%30 Mar
overpass13–6-0.0425%30 Mar
inferno8–13-0.0021%20 Mar
anubis13–100.0132%6 Mar
nuke6–80.0150%2 Mar
nuke13–160.0322%8 Feb
inferno13–30.0926%8 Feb
anubis8–130.0521%8 Feb
anubis10–13-0.0121%7 Feb
inferno11–50.0419%7 Feb
ancient9–130.0122%7 Feb
overpass13–90.0312%7 Feb
ancient6–130.0721%7 Feb
anubis1–20.0140%4 Feb
overpass3–13-0.0723%4 Feb
ancient13–80.0225%4 Feb
ancient10–130.0127%3 Feb
nuke13–30.1918%3 Feb
inferno13–70.0424%3 Feb
ancient13–70.0722%3 Feb
overpass13–60.0732%3 Feb
nuke13–6-0.0324%3 Feb
vertigo13–90.1336%3 Feb
anubis13–70.1121%3 Feb
overpass10–130.0726%1 Feb
anubis13–20.0928%1 Feb
vertigo10–130.1022%1 Feb
vertigo7–13-0.0329%28 Jan
nuke6–13-0.0226%28 Jan
inferno13–110.1343%28 Jan
overpass13–60.1030%28 Jan
ancient13–10-0.0123%28 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →