cashmoneyflow

cashmoneyflow — CS2 Stats

SE76561198158780614[U:1:198514886]Steam profile ↗✓ No bans

398Tracked matches55%Win rate2021Tracked since
1,780Hours in CS0Hrs last 2 wks
CSDB Rating4.5 DevelopingAll-Rounder
CSDB Leaderboard#97391 of 220000 tracked
FaceitLevel 5 · 1,160 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 51 days played since 26 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,938 +6,024 26 Dec3 Jun · 19 days played
11,91418,994peak 18,99426 Dec3 Jun
19,351Peak Premier in tracked matches
1,160Highest Faceit ELO seen on CSDB
51Days played since 2025-12-26

Faceit ELO

  • At peak — 1,160
  • Next: Level 6 at 1,201 41 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=11,606), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.0%43.8%44.9%6.9% short
Shot accuracy15.4%12.0%12.4%above
Kill/death ratio0.811.021.040.23 short
Match win rate38.1%44.7%45.3%7.1% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcashmoneyflowFACEITLevel 5 · 1,160 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,160csdb.gg/stats

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Performance scores

Aim58
Positioning46
Utility45

0–100 skill scores via Leetify.

Recent form

HOT56404Last 10056%Win rateWLWLWWWWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −4.4pp headshot accuracy · +23ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 616ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

Last 20

  • 1271 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 600ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.8
Utility4.5
Positioning4.6
Opening Duels2.8
Clutch4.0

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

jL

Plays most like jL 89% 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 — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 618ms 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

Aim5.8
Positioning4.6
Utility4.5
Mechanics5.3
Opening Duels2.4
Win Impact6.7

Composite 4.5/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time619ms−118ms
first ⅓ avg 737ms → last ⅓ avg 619ms
Headshot accuracy18.3%−1.9%
first ⅓ avg 20.3% → last ⅓ avg 18.3%

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

0.09Best match rating · 9–2 · ancient, 26 Jul
50%Best headshot accuracy · 13–2 · office, 26 Dec
422msFastest reaction time · 7–13 · anubis, 2 Mar
13–1Biggest win · nuke, 18 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
115In matches decided by ≤2 rounds
6Overtime games

Map breakdown

officeBest map · 83% over 6anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2112957%-0.01
infernoS1812667%-0.03
dust2B136746%-0.03
nukeS129375%-0.02
ancientA95456%-0.03
cacheD93633%-0.05
anubisD72529%-0.03
officeS65183%-0.01
overpassC52340%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,231Lifetime kills
0.81K/D
2,891Matches
38.1%Match win rate
38.0%Headshot %
15.4%Shot accuracy · Top 50% of Level 5 players
3,919MVPs
1,206Hours (in match)
1,482Bombs planted
415Bombs defused

Most-used weapons

AK-479,568
AWP8,303
Knife1,892
P2501,245
MP7920

Lifetime map wins

3,206dust2
3,051inferno
1,649nuke
531train
499cbble
317office
131dust
130safehouse

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

Faceit stats

Combat

161Matches
50%Win rate
0.73Avg K/D
63.6ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4351%0.6811.7
Inferno3155%0.7614.1
Anubis2548%0.7613.8
Dust22450%0.7612.9
Ancient1828%0.7412.1
Nuke1457%0.7213.5
Overpass3100%0.7012.3
Train250%0.7511.0

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.

18.6%Headshot accuracy
32.2%Accuracy (enemy spotted)
34.2%Spray accuracy
73.7%Counter-strafing
9.5°Preaim
618msReaction time
38.9%T opening success
40.4%CT opening success
0.51Enemies flashed / flash
2.8%Flash assists
6.16HE damage / grenade
6.94Flashes / 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 38.8975% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.1015%9 Aug
inferno8–13-0.0811%30 Jul
ancient13–10-0.0210%30 Jul
nuke9–13-0.0520%26 Jul
anubis13–10-0.0423%26 Jul
dust216–120.0118%26 Jul
ancient9–20.0915%26 Jul
cache13–110.0417%26 Jul
inferno13–10-0.0817%21 Jul
mirage11–130.0220%25 Jun
overpass13–16-0.0412%25 Jun
cache12–12-0.0722%3 Jun
inferno13–60.0322%3 Jun
anubis5–130.0713%28 May
mirage13–100.0519%28 May
cache9–13-0.0419%28 May
inferno13–11-0.0221%27 May
overpass2–11-0.0429%21 May
mirage13–11-0.0437%19 May
overpass13–7-0.0114%19 May
dust25–13-0.0616%19 May
nuke13–16-0.0526%19 May
inferno13–5-0.0510%18 May
cache7–13-0.0213%12 May
mirage13–50.0019%5 May
cache13–11-0.079%4 May
cache8–13-0.0732%4 May
cache3–13-0.0625%4 May
cache13–10-0.0312%3 May
cache7–13-0.0823%3 May
inferno13–11-0.039%26 Apr
ancient13–9-0.0724%21 Apr
mirage13–11-0.0413%21 Apr
overpass8–13-0.0710%20 Apr
inferno10–13-0.0416%20 Apr
inferno13–3-0.0036%18 Apr
mirage7–13-0.0515%18 Apr
nuke13–1-0.0233%18 Apr
inferno11–13-0.0014%16 Apr
dust213–80.0124%2 Apr
nuke5–20.0425%2 Apr
mirage13–6-0.104%2 Apr
dust213–11-0.0317%2 Apr
ancient7–13-0.094%2 Apr
dust211–130.0124%2 Apr
overpass13–50.0219%2 Apr
inferno10–130.0316%30 Mar
mirage15–150.0119%30 Mar
dust213–3-0.057%30 Mar
mirage0–40.000%28 Mar
inferno13–40.0219%24 Mar
inferno8–8-0.0815%19 Mar
office13–70.0228%19 Mar
nuke13–110.0115%17 Mar
ancient7–13-0.0512%16 Mar
inferno9–2-0.107%15 Mar
office13–70.0217%15 Mar
nuke13–8-0.0315%5 Mar
anubis7–13-0.0624%2 Mar
anubis4–13-0.0517%23 Feb
mirage7–13-0.0414%18 Feb
mirage9–13-0.0019%17 Feb
anubis16–19-0.0219%16 Feb
office13–8-0.0416%12 Feb
anubis13–9-0.037%5 Feb
mirage13–7-0.0213%4 Feb
nuke13–7-0.0717%4 Feb
inferno13–9-0.0419%3 Feb
dust211–130.0120%3 Feb
mirage13–11-0.0413%3 Feb
nuke13–7-0.0118%2 Feb
inferno11–13-0.0535%2 Feb
mirage8–13-0.0111%28 Jan
inferno13–80.0222%27 Jan
nuke13–8-0.0233%20 Jan
anubis7–13-0.1027%14 Jan
mirage13–6-0.0121%13 Jan
nuke13–9-0.0116%5 Jan
dust216–13-0.0314%4 Jan
ancient10–130.0220%4 Jan
dust26–13-0.0715%31 Dec
mirage2–13-0.060%30 Dec
dust23–13-0.0816%30 Dec
mirage13–60.089%29 Dec
dust213–9-0.0217%29 Dec
mirage13–80.0329%29 Dec
nuke13–110.0017%29 Dec
inferno13–6-0.0520%29 Dec
ancient9–13-0.0520%29 Dec
inferno13–90.0122%27 Dec
dust26–13-0.0323%27 Dec
mirage13–100.0217%27 Dec
office13–20.0150%26 Dec
office12–12-0.0516%26 Dec
office13–3-0.0427%26 Dec
mirage3–13-0.0732%26 Dec
mirage13–4-0.0219%26 Dec
nuke8–13-0.0215%26 Dec
ancient13–5-0.0017%26 Dec
dust25–13-0.0621%26 Dec

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 →