Tony Glucose

Tony Glucose — CS2 Stats

76561198174974989[U:1:214709261]Steam profile ↗✓ No bans

1,541Tracked matches41%Win rate2021Tracked since
764Hours in CS
CSDB Rating4.7 Developing
FaceitLevel 4 · 933 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.7%42.5%44.2%4.5% short
Shot accuracy10.0%10.9%11.2%1.2% short
Kill/death ratio0.830.991.040.21 short
Match win rate47.2%44.2%45.3%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTony GlucoseFACEITLevel 4 · 933 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning55
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY47512Last 10047%Win rateLWWLWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Aim5.5
Aggression7.2
Utility4.9
Positioning5.5
Opening Duels3.8
Clutch3.8

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 628ms 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

Aim5.5
Positioning5.5
Utility4.9
Mechanics7.6
Opening Duels3.8
Win Impact2.1

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time586ms−114ms
first ⅓ avg 700ms → last ⅓ avg 586ms
Headshot accuracy13.5%−3.2%
first ⅓ avg 16.7% → last ⅓ avg 13.5%

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.

Highlights

0.14Best rating — ancient 13–9
131Biggest win — dust2
9Longest win streak
45In matches decided by ≤2 rounds
13Overtime games

Map breakdown

trainBest map · 60% over 5ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB22101245%-0.01
nukeA2112957%0.01
dust2B158753%0.00
infernoC146843%0.00
ancientD124833%0.01
trainA53260%0.01
anubis41325%0.00
overpass41325%-0.05
cache32167%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,280Lifetime kills
0.83K/D
1,762Matches
47.2%Match win rate · Top 50% of Level 4 players
39.7%Headshot %
10.0%Shot accuracy
3,901MVPs
764Hours (in match)
2,762Bombs planted
347Bombs defused

Most-used weapons

AK-4710,637
AWP2,277
MAC-101,337
MP91,145
Knife892

Lifetime map wins

3,342inferno
2,735dust2
2,635nuke
1,387vertigo
187train
3office
1italy

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

Faceit stats

Combat

1,087Matches
52%Win rate
0.93Avg K/D
75.9ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage14655%0.9413.4
Inferno8454%0.9514.8
Dust26152%1.0013.9
Nuke6055%1.0114.1
Ancient4549%0.8413.7
Overpass2650%0.9915.9
Vertigo2040%0.9816.5
Anubis1844%1.0214.0

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.

14.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.4%Spray accuracy
84.1%Counter-strafing
11.3°Preaim
628msReaction time
40.4%T opening success
50.1%CT opening success
0.61Enemies flashed / flash
6.2%Flash assists
8.85HE damage / grenade
6.74Flashes / 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 14.3648% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.066%28 Jul
cache13–20.039%28 Jul
nuke16–130.0423%28 Jul
dust23–13-0.0421%21 Jul
anubis13–60.0412%20 Jul
inferno13–16-0.0410%19 Jul
cache19–22-0.0314%15 Jul
inferno13–6-0.0324%14 Jul
ancient13–100.045%12 Jul
ancient13–90.1419%10 Jul
mirage13–60.0318%9 Jul
nuke8–13-0.0212%9 Jul
ancient7–130.1119%9 Jul
anubis9–130.1014%9 Jul
ancient8–13-0.0511%9 Jul
cache13–80.0120%9 Jul
mirage6–13-0.0418%9 Jul
mirage3–13-0.0525%1 Jul
nuke7–13-0.110%24 Jun
nuke13–8-0.068%24 Jun
mirage14–16-0.0214%23 Jun
mirage11–4-0.0211%23 Jun
inferno15–150.1113%23 Jun
ancient1–7-0.090%21 Jun
nuke7–00.0444%21 Jun
overpass1–5-0.170%21 Jun
dust211–130.0114%21 Jun
dust20–8-0.070%20 Jun
anubis6–13-0.019%20 Jun
mirage13–20.0615%20 Jun
nuke13–60.0414%20 Jun
ancient8–130.0211%20 Jun
nuke16–130.0515%19 Jun
nuke13–60.1315%19 Jun
nuke13–10-0.040%26 Mar
inferno9–130.0815%26 Mar
mirage10–13-0.0020%26 Mar
mirage2–11-0.170%18 Mar
dust28–13-0.0512%25 Feb
mirage13–10-0.0721%5 Feb
mirage16–13-0.0015%5 Feb
anubis14–16-0.1214%4 Feb
inferno8–130.0218%4 Feb
mirage5–13-0.0517%4 Feb
ancient9–13-0.0411%3 Feb
nuke13–80.0222%3 Feb
inferno13–80.0512%3 Feb
mirage13–9-0.0013%26 Jan
nuke16–120.1314%26 Jan
dust210–13-0.0221%24 Jan
nuke5–13-0.100%21 Jan
inferno13–11-0.0114%20 Jan
nuke9–130.0121%18 Jan
mirage5–8-0.044%16 Jan
inferno11–13-0.0016%16 Jan
nuke8–13-0.0025%15 Jan
dust213–100.0623%15 Jan
inferno13–40.0622%15 Jan
dust213–40.0224%15 Jan
train13–100.0412%15 Jan
train8–13-0.0126%15 Jan
nuke6–13-0.0113%15 Jan
mirage3–13-0.0827%9 Jan
inferno9–13-0.0814%7 Jan
ancient10–130.038%6 Jan
nuke7–13-0.0514%6 Jan
dust213–100.0011%6 Jan
nuke13–30.1322%6 Jan
inferno13–7-0.0113%6 Jan
overpass13–60.0113%6 Jan
mirage13–100.0010%2 Jan
nuke13–7-0.1011%1 Jan
nuke13–10-0.0020%1 Jan
dust213–50.0513%31 Dec
mirage13–4-0.025%30 Dec
dust21–13-0.069%28 Dec
ancient8–130.0114%28 Dec
dust213–110.0720%28 Dec
mirage15–15-0.0216%28 Dec
mirage8–00.0517%27 Dec
nuke12–160.0128%26 Dec
inferno4–13-0.110%23 Dec
nuke11–130.0115%23 Dec
mirage7–130.0922%23 Dec
ancient13–60.0018%23 Dec
overpass10–13-0.0220%23 Dec
ancient4–13-0.0612%22 Dec
train8–13-0.0114%21 Dec
inferno13–11-0.0211%21 Dec
ancient13–8-0.0013%21 Dec
inferno12–160.0422%21 Dec
train13–110.0319%21 Dec
dust213–10.0319%21 Dec
dust216–13-0.0217%21 Dec
overpass5–13-0.0136%20 Dec
mirage4–130.0221%20 Dec
dust210–130.0526%20 Dec
train13–90.0219%20 Dec
dust213–7-0.0116%20 Dec
mirage13–9-0.0422%20 Dec

Match data via Leetify.

Milestones

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