DeeGoomBee — CS2 Stats

76561198242890242[U:1:282624514]✓ No bans

263Tracked matches61%Win rate2023Tracked since
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating18,869Purple band · top ~13% of ranked players (population est.)
CSDB Leaderboard#21352 of 47604 tracked
FaceitLevel 5 · 1,055 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDeeGoomBeeFACEITLevel 5 · 1,055 ELOSTANDINGTop 67.6% of rankedPREMIER18,869 · Purple bandcsdb.gg/stats

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Performance scores

Aim60
Positioning49
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY52435Last 10052%Win rateLLLLWWLLWW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression5.9
Utility1.7
Positioning4.9
Opening Duels2.5
Clutch3.4

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.

Your pro match

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 636ms 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

Aim6.0
Positioning4.9
Utility1.7
Mechanics5.4
Opening Duels2.5
Win Impact8.6

Composite 5.0/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time644ms−38ms
first ⅓ avg 683ms → last ⅓ avg 644ms
Headshot accuracy23.0%−4.2%
first ⅓ avg 27.3% → last ⅓ avg 23.0%

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

0.21Best rating — inferno 13–4
130Biggest win — dust2
5Longest win streak
L4Current streak
66In matches decided by ≤2 rounds
18Overtime games

Map breakdown

vertigoBest map · 75% over 8infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB28141450%-0.00
dust2C1981142%-0.02
nukeA159660%-0.02
ancientB115645%0.02
vertigoS86275%0.05
infernoC83538%0.01
anubisC52340%0.04
cache32167%0.01
overpass220100%-0.04
assembly110100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

136Matches
48%Win rate
1.25Avg K/D
90.0ADR
60%Headshot %

Clutches & streaks

37%1v1 clutch win
30%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5246%1.1918.4
Dust21638%1.3318.4
Ancient1346%1.0915.7
Vertigo1275%1.6418.6
Inferno1050%1.4216.9
Anubis850%1.2620.5
Nuke771%1.2022.3
Train2100%1.9520.5

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.

21.8%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.7%Spray accuracy
74.2%Counter-strafing
9.8°Preaim
636msReaction time
31.4%T opening success
48.7%CT opening success
0.51Enemies flashed / flash
1.6%Flash assists
3.16HE damage / grenade
2.13Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.1271 — below the 4 mark we flag

    Grenade Lineups
  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 31.3619% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0723%13 Feb
ancient5–13-0.0217%12 Feb
nuke9–13-0.0715%12 Feb
dust211–130.0125%10 Feb
dust213–6-0.0331%10 Feb
mirage13–50.0124%10 Feb
nuke7–13-0.0326%10 Feb
mirage4–13-0.0129%8 Feb
nuke13–10-0.0617%7 Feb
mirage13–90.0216%7 Feb
mirage15–15-0.0618%6 Feb
dust213–10-0.0117%6 Feb
mirage13–50.0218%5 Feb
anubis11–130.0319%5 Feb
mirage13–70.0325%5 Feb
dust213–11-0.0633%5 Feb
overpass13–7-0.0422%5 Feb
ancient10–130.0113%31 Jan
mirage13–50.0623%31 Jan
dust213–70.0027%30 Jan
ancient13–70.0819%30 Jan
nuke16–13-0.0417%30 Jan
mirage13–6-0.0423%30 Jan
ancient11–13-0.0510%29 Jan
anubis1–13-0.0318%26 Jan
mirage15–150.0321%25 Jan
dust213–7-0.0325%25 Jan
vertigo10–130.0535%23 Jan
nuke16–14-0.0826%28 Dec
mirage13–6-0.0227%27 Dec
mirage4–13-0.0350%25 Dec
mirage13–20.0432%28 Oct
inferno5–130.0420%22 Oct
ancient5–90.0320%4 Aug
dust28–13-0.0233%25 May
mirage9–13-0.0433%25 Jan
mirage13–100.0132%20 Jan
mirage13–16-0.0227%8 Jan
ancient6–130.0128%6 Jan
ancient13–90.0322%4 Jan
mirage6–130.0928%3 Jan
ancient13–50.0121%2 Jan
vertigo13–100.0320%2 Jan
vertigo13–30.1024%1 Jan
anubis13–20.0424%31 Dec
mirage9–13-0.0027%28 Dec
dust22–13-0.0722%26 Dec
nuke16–140.0026%20 Dec
mirage11–13-0.0741%19 Dec
mirage1–130.0026%29 Nov
mirage13–9-0.0235%24 Jul
dust210–130.0130%16 Jul
nuke9–50.0332%16 Jul
assembly9–20.1318%16 Jul
inferno8–8-0.168%16 Jul
nuke16–12-0.0536%13 Jul
vertigo13–5-0.0538%13 Jul
dust24–13-0.0533%13 Jul
vertigo13–70.0819%12 Jul
anubis7–130.0028%4 Jul
nuke13–10-0.0430%30 Jun
nuke6–130.0033%30 Jun
mirage5–130.0027%29 Jun
ancient8–130.0443%29 Jun
nuke10–130.0328%20 Jun
ancient13–50.0436%20 Jun
mirage13–80.0225%20 Jun
mirage13–90.0441%20 Jun
mirage3–13-0.1133%19 Jun
vertigo13–90.0928%19 Jun
dust28–11-0.0527%18 Jun
inferno13–70.0422%17 Jun
ancient13–110.0224%17 Jun
dust213–100.0141%16 Jun
inferno2–13-0.0643%16 Jun
dust213–00.1558%15 Jun
nuke13–60.0935%15 Jun
inferno10–130.0128%14 Jun
vertigo13–10.0436%14 Jun
inferno13–40.2143%10 Jun
mirage13–9-0.0130%23 Nov
vertigo10–130.0325%16 Nov
anubis13–00.1721%16 Nov
overpass13–5-0.0526%16 Nov
nuke6–130.0130%16 Nov
nuke8–13-0.0354%13 Nov
cache16–130.0238%24 Aug
nuke16–14-0.0427%19 Aug
dust215–15-0.0130%28 Jul
inferno16–70.0421%21 Jul
cache9–70.0916%9 Jun
cache9–7-0.0914%5 Jun
mirage15–150.0416%4 Jun
mirage10–16-0.038%4 Jun
dust26–9-0.0320%4 Jun
dust216–7-0.0513%4 Jun
dust214–16-0.0411%3 Jun
inferno5–16-0.0219%2 Jun
dust26–160.0114%2 Jun
mirage16–5-0.057%1 Jun

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 →