Manager at Applebees

Manager at Applebees — CS2 Stats

76561197992992913[U:1:32727185]Steam profile ↗✓ No bans

1,118Tracked matches30%Win rate2020Tracked since
3,231Hours in CS38Hrs last 2 wks
CSDB Rating3.6 Learning
Premier CS Rating13,849Blue band · top ~34.5% of ranked players (population est.)
CSDB Leaderboard#19426 of 29513 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.8%41.7%44.1%7.3% short
Shot accuracy15.8%8.8%11.4%above
Kill/death ratio1.240.971.03above
Match win rate45.5%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGManager at ApplebeesPREMIER13,849 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning62
Utility20

0–100 skill scores via Leetify.

Recent form

COLD39583Last 10039%Win rateLLLLWLWLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.4
Aggression8.8
Utility2.0
Positioning6.2
Opening Duels4.4

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

ropz

Plays most like ropz 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 59% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim4.4
Positioning6.2
Utility2.0
Mechanics3.2
Opening Duels4.4
Win Impact0.0

Composite 3.6/10 (Learning), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time612ms+0ms
first ⅓ avg 611ms → last ⅓ avg 612ms
Headshot accuracy17.9%+0.8%
first ⅓ avg 17.1% → last ⅓ avg 17.9%

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

0.25Best rating — inferno 9–2
130Biggest win — anubis
6Longest win streak
L4Current streak
88In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 54% over 13dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC2071335%0.01
infernoB189950%0.03
anubisD134931%-0.00
ancientB137654%0.02
cacheD124833%0.02
dust2D123925%0.02
mirageB84450%0.02
office21150%-0.00
eldorado1010%-0.03
debris1010%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,535Lifetime kills
1.24K/D · Top 10% of Blue band
7,647Matches
45.5%Match win rate · Top 50% of Blue band
36.8%Headshot %
15.8%Shot accuracy · Top 25% of Blue band
11,825MVPs
1,901Hours (in match)
3,123Bombs planted
533Bombs defused

Most-used weapons

AK-4732,636
AWP21,384
SSG 086,438
MP75,797
P903,499
Tec-93,315

Lifetime map wins

4,915office
3,835dust2
3,065inferno
3,001nuke
2,613italy
1,869vertigo
1,600assault
1,486militia

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

Faceit stats

Combat

3Matches
0%Win rate
0.38Avg K/D
ADR
48%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

17.7%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.0%Spray accuracy
64.4%Counter-strafing
12.3°Preaim
598msReaction time
36.5%T opening success
58.6%CT opening success
0.28Enemies flashed / flash
0.5%Flash assists
3.76HE damage / grenade
1.95Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2753° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2849 — below the 0.5 mark we flag

    Grenade Lineups
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0313%28 Aug
cache7–13-0.0118%28 Aug
cache4–13-0.0118%26 Aug
anubis2–13-0.0316%26 Aug
inferno13–110.0917%25 Aug
nuke5–130.0113%25 Aug
ancient13–80.0217%25 Aug
inferno4–13-0.0721%25 Aug
anubis1–13-0.1021%25 Aug
anubis6–13-0.0020%25 Aug
cache5–130.0318%25 Aug
nuke7–13-0.0128%24 Aug
cache6–130.0316%24 Aug
nuke3–9-0.0921%23 Aug
nuke2–13-0.0812%23 Aug
cache6–130.0118%23 Aug
dust29–130.0625%22 Aug
nuke13–50.1213%22 Aug
anubis8–13-0.0417%22 Aug
ancient13–80.0718%22 Aug
nuke11–13-0.0715%21 Aug
inferno9–40.1327%21 Aug
dust216–140.0417%21 Aug
dust23–13-0.0312%20 Aug
dust25–130.0524%19 Aug
cache13–70.0718%19 Aug
ancient2–130.0216%19 Aug
inferno13–50.0215%19 Aug
ancient13–60.0820%19 Aug
office9–13-0.0317%18 Aug
anubis7–130.0315%18 Aug
mirage13–100.1320%18 Aug
inferno5–13-0.1012%18 Aug
cache10–13-0.0115%17 Aug
eldorado5–9-0.0316%17 Aug
ancient7–130.0125%16 Aug
nuke9–130.0917%16 Aug
mirage13–10-0.0017%16 Aug
inferno9–130.0215%16 Aug
mirage13–50.0714%16 Aug
inferno7–13-0.0223%15 Aug
inferno13–9-0.0418%15 Aug
dust213–110.0821%15 Aug
dust211–13-0.0214%14 Aug
cache4–130.0433%14 Aug
anubis11–130.0412%14 Aug
dust22–8-0.0927%14 Aug
nuke13–10-0.0021%13 Aug
nuke9–7-0.1119%13 Aug
mirage8–13-0.0613%13 Aug
mirage7–130.0114%12 Aug
nuke7–13-0.0431%11 Aug
anubis13–00.1217%11 Aug
debris7–9-0.089%11 Aug
inferno9–60.0415%11 Aug
office13–100.0231%11 Aug
cache13–70.0712%11 Aug
inferno9–60.2225%11 Aug
inferno9–10.1645%11 Aug
anubis16–140.0413%10 Aug
ancient7–13-0.0024%9 Aug
nuke15–15-0.0216%9 Aug
dust212–120.0323%9 Aug
anubis13–50.0117%9 Aug
dust213–100.0524%8 Aug
anubis8–13-0.0112%8 Aug
anubis6–13-0.0517%7 Aug
anubis8–13-0.0616%7 Aug
ancient16–140.0621%7 Aug
nuke12–12-0.028%6 Aug
inferno9–20.2525%6 Aug
ancient13–70.0513%5 Aug
ancient13–9-0.0416%4 Aug
inferno4–9-0.0511%4 Aug
nuke13–160.0219%4 Aug
nuke13–16-0.0124%3 Aug
nuke13–40.1326%3 Aug
nuke11–13-0.047%1 Aug
ancient13–50.0221%31 Jul
dust22–130.0011%31 Jul
cache13–60.0910%31 Jul
dust211–13-0.0213%31 Jul
mirage11–130.0313%30 Jul
inferno9–13-0.0513%30 Jul
cache7–13-0.0613%30 Jul
cache13–60.0110%29 Jul
anubis13–90.0422%29 Jul
ancient10–13-0.066%29 Jul
inferno3–13-0.0314%29 Jul
mirage10–130.0119%29 Jul
ancient3–13-0.0215%29 Jul
inferno13–9-0.0019%28 Jul
inferno1–13-0.0144%27 Jul
dust211–130.0321%27 Jul
nuke16–14-0.0223%27 Jul
nuke13–70.0418%27 Jul
nuke5–13-0.0315%27 Jul
ancient1–130.0018%26 Jul
mirage13–11-0.0117%26 Jul
nuke9–30.2322%26 Jul

Match data via Leetify.

Recent teammates

Milestones

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