๐•ณ Hamudi Taxi ๐•ณ

๐•ณ Hamudi Taxi ๐•ณ โ€” CS2 Stats

76561198373339376[U:1:413073648]Steam profile โ†—โœ“ No bans

1,018Tracked matches54%Win rate2023Tracked since
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating16,605Purple band ยท top ~22% of ranked players (population est.)
FaceitLevel 4 ยท 983 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 983 +0 7 Sept โ€“ 9 Sept ยท 2 observations
983983peak 9837 Sept9 Sept
16,605Peak Premier in tracked matches
983Highest Faceit ELO seen on CSDB
24Days played since 2026-07-20

Faceit ELO

  • At peak โ€” 983
  • Next: Level 5 at 1,051 โ€” 68 to go
  • Reached: Level 4 ยท Level 3 ยท Level 2
  • Level 4 first seen 2026-09-07
  • Level 3 first seen 2026-09-07

Premier CS Rating

  • At peak โ€” 16,605
  • Next: Pink band at 20,000 โ€” 3,395 to go
  • Reached: Purple band ยท Blue band ยท Light Blue band

Premier comes from this profileโ€™s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDBโ€™s own observation โ€” no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG๐•ณ Hamudi Taxi ๐•ณFACEITLevel 4 ยท 983 ELOSTANDINGTop 81.0% of rankedPREMIER16,605 ยท Purple bandPEAK ELO983csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ€” it is generated in your browser when you click.

Performance scores

Aim41
Positioning43
Utility41

0โ€“100 skill scores via Leetify.

Recent form

STEADY47โ€“44โ€“9Last 10047%Win rateLLLWLLWWWT

Last 10 vs previous 10: 0pp win rate ยท +0.02 avg rating ยท โˆ’0.1pp headshot accuracy ยท โˆ’44ms reaction

Win rate 0pp across the last 10 against the 10 before โ€” within the normal variation of a 10-match window (ยฑ20pp), so no real shift yet.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 1โ€“4 ยท 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 599ms

Last 10

  • 4โ€“5โ€“1 ยท 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 610ms

Last 20

  • 8โ€“9โ€“3 ยท 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 633ms

Newest first, from the last 100 tracked matches. Each block is its own sample โ€” one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player โ€” Positioning stands above the rest of this profile (+1.9 against its own average).

Aim4.1
Utility4.1
Positioning4.3
Opening Duels0.0
Clutch1.2

Limited utility dependence

Style profile from tracked-match aggregates โ€” 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 โ€” 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 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Similarity of playstyle shape across shared dimensions โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Areas to improve

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers โ€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.1
Positioning4.3
Utility4.1
Mechanics4.8
Opening Duels1.1
Win Impact6.3

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first โ…“ avg -0.03 โ†’ last โ…“ avg -0.03
Reaction time609msโˆ’53ms
first โ…“ avg 662ms โ†’ last โ…“ avg 609ms
Headshot accuracy11.2%โˆ’5.9%
first โ…“ avg 17.1% โ†’ last โ…“ avg 11.2%

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

0.12Best match rating ยท 3โ€“4 ยท italy, 17 Sept โ†’
50%Best headshot accuracy ยท 0โ€“6 ยท cache, 2 Aug โ†’
422msFastest reaction time ยท 6โ€“13 ยท inferno, 30 Aug โ†’
13โ€“0Biggest win ยท shelter, 17 Sept โ†’

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
7โ€“8In matches decided by โ‰ค2 rounds
3Overtime games

Map breakdown

dust2Best map ยท 75% over 12cacheWeakest map ยท 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoD155โ€“1033%-0.03
vertigoC125โ€“742%-0.03
dust2S129โ€“375%-0.05
nukeA116โ€“555%-0.02
anubisB105โ€“550%-0.01
overpassA85โ€“363%-0.03
ancientC83โ€“538%-0.03
cacheD82โ€“625%-0.04
officeS64โ€“267%-0.05
mirageโ€”32โ€“167%-0.04
rush_001โ€”20โ€“20%-0.03
trainโ€”20โ€“20%-0.04
italyโ€”10โ€“10%0.12
shelterโ€”11โ€“0100%0.03
boulderโ€”10โ€“10%-0.11

Across the last 100 tracked matches.

Faceit stats

Combat

90Matches
51%Win rate
0.76Avg K/D
65.9ADR
40%Headshot %

Clutches & streaks

26%1v1 clutch win
12%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust22658%0.7211.3
Nuke1429%0.6611.9
Inferno1450%0.8613.7
Ancient1070%0.6811.1
Overpass667%0.9013.5
Anubis633%0.8112.5
Train475%0.9014.3
Mirage425%0.8413.8

Faceit-match stats via the FACEIT Data API โ€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches โ€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.2%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.5%Spray accuracy
71.8%Counter-strafing
13.2ยฐPreaim
621msReaction time
38.8%T opening success
28.6%CT opening success
0.38Enemies flashed / flash
3.2%Flash assists
10.66HE damage / grenade
4.71Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” 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 13.1778ยฐ โ€” above the 12ยฐ mark we flag

    Aim Training โ†’
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads โ€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1745% โ€” below the 15% mark we flag

    Aim Training โ†’
  3. 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 0.3777 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
Spend your practice time on Cache

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

25% win rate across 8 tracked games โ€” your weakest map with enough games to be worth reading into.

Cache callouts & strategy โ†’

Recent matches

MapScoreRatingHS%Date
vertigo11โ€“13-0.0116%3 Oct โ†’
rush_0011โ€“5-0.0813%3 Oct โ†’
rush_0013โ€“70.026%3 Oct โ†’
nuke13โ€“2-0.0413%3 Oct โ†’
train3โ€“13-0.0312%3 Oct โ†’
office9โ€“13-0.1010%3 Oct โ†’
inferno9โ€“40.0916%28 Sept โ†’
vertigo13โ€“90.0314%28 Sept โ†’
overpass13โ€“10.0017%24 Sept โ†’
anubis12โ€“12-0.047%24 Sept โ†’
inferno7โ€“13-0.0814%24 Sept โ†’
dust29โ€“13-0.0314%24 Sept โ†’
vertigo13โ€“7-0.0213%24 Sept โ†’
vertigo10โ€“13-0.0717%23 Sept โ†’
ancient12โ€“12-0.0115%23 Sept โ†’
nuke12โ€“12-0.1210%23 Sept โ†’
nuke13โ€“9-0.048%23 Sept โ†’
dust213โ€“8-0.0316%23 Sept โ†’
vertigo11โ€“130.0115%23 Sept โ†’
overpass13โ€“70.015%22 Sept โ†’
anubis10โ€“130.029%22 Sept โ†’
dust213โ€“7-0.077%22 Sept โ†’
cache9โ€“13-0.059%22 Sept โ†’
inferno4โ€“13-0.0611%22 Sept โ†’
inferno9โ€“70.0711%21 Sept โ†’
dust213โ€“11-0.014%21 Sept โ†’
train11โ€“13-0.0610%21 Sept โ†’
nuke8โ€“80.0115%21 Sept โ†’
office13โ€“7-0.060%21 Sept โ†’
inferno9โ€“7-0.049%21 Sept โ†’
vertigo12โ€“12-0.0215%21 Sept โ†’
anubis13โ€“40.0110%20 Sept โ†’
office13โ€“11-0.0511%20 Sept โ†’
mirage13โ€“10-0.038%17 Sept โ†’
overpass13โ€“4-0.0422%17 Sept โ†’
italy3โ€“40.124%17 Sept โ†’
office13โ€“30.0114%17 Sept โ†’
shelter13โ€“00.0318%17 Sept โ†’
overpass11โ€“13-0.047%15 Sept โ†’
anubis5โ€“13-0.0411%14 Sept โ†’
cache13โ€“9-0.0511%11 Sept โ†’
overpass13โ€“10-0.0214%9 Sept โ†’
cache7โ€“13-0.106%9 Sept โ†’
anubis13โ€“10-0.0116%9 Sept โ†’
office13โ€“10-0.0313%9 Sept โ†’
ancient6โ€“13-0.098%3 Sept โ†’
anubis13โ€“5-0.029%3 Sept โ†’
cache5โ€“130.0112%31 Aug โ†’
nuke11โ€“13-0.0114%31 Aug โ†’
overpass5โ€“13-0.037%31 Aug โ†’
dust28โ€“130.0012%31 Aug โ†’
inferno12โ€“12-0.0116%30 Aug โ†’
overpass5โ€“13-0.046%30 Aug โ†’
inferno6โ€“13-0.1211%30 Aug โ†’
mirage13โ€“8-0.0317%9 Aug โ†’
dust213โ€“2-0.0915%6 Aug โ†’
dust213โ€“11-0.0616%6 Aug โ†’
ancient13โ€“100.0114%6 Aug โ†’
cache5โ€“13-0.0414%6 Aug โ†’
inferno13โ€“60.0021%4 Aug โ†’
nuke13โ€“9-0.0414%4 Aug โ†’
ancient4โ€“13-0.0329%4 Aug โ†’
cache0โ€“6-0.0750%2 Aug โ†’
ancient13โ€“7-0.0313%2 Aug โ†’
inferno5โ€“13-0.0420%2 Aug โ†’
vertigo13โ€“3-0.0229%2 Aug โ†’
dust213โ€“10-0.098%31 Jul โ†’
inferno7โ€“13-0.0517%31 Jul โ†’
cache13โ€“16-0.0323%31 Jul โ†’
anubis7โ€“13-0.0211%31 Jul โ†’
cache13โ€“5-0.0010%31 Jul โ†’
vertigo11โ€“13-0.0212%31 Jul โ†’
vertigo4โ€“13-0.0513%31 Jul โ†’
inferno12โ€“12-0.0312%26 Jul โ†’
office1โ€“13-0.0926%26 Jul โ†’
nuke11โ€“130.0022%26 Jul โ†’
inferno15โ€“15-0.0417%26 Jul โ†’
anubis13โ€“100.0316%26 Jul โ†’
vertigo13โ€“60.0222%26 Jul โ†’
overpass13โ€“4-0.0519%26 Jul โ†’
anubis13โ€“9-0.0110%25 Jul โ†’
nuke13โ€“20.0419%25 Jul โ†’
inferno13โ€“11-0.0114%25 Jul โ†’
ancient9โ€“13-0.0718%25 Jul โ†’
nuke13โ€“100.0531%25 Jul โ†’
inferno8โ€“13-0.0419%25 Jul โ†’
vertigo10โ€“13-0.0416%25 Jul โ†’
dust213โ€“8-0.069%24 Jul โ†’
dust213โ€“00.0223%24 Jul โ†’
ancient13โ€“11-0.0125%24 Jul โ†’
inferno8โ€“13-0.0513%24 Jul โ†’
boulder4โ€“13-0.1121%24 Jul โ†’
dust213โ€“8-0.0810%24 Jul โ†’
nuke13โ€“6-0.0112%24 Jul โ†’
ancient15โ€“15-0.0222%24 Jul โ†’
anubis7โ€“13-0.037%20 Jul โ†’
nuke4โ€“13-0.0611%20 Jul โ†’
dust26โ€“13-0.0523%20 Jul โ†’
vertigo13โ€“7-0.118%20 Jul โ†’
mirage2โ€“13-0.0632%20 Jul โ†’

Match data via Leetify.

Recent teammates

Milestones

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

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