Halloween Moneyboy

Halloween Moneyboy — CS2 Stats

DE76561198200128627[U:1:239862899]Steam profile ↗✓ No bans

1,922Tracked matches45%Win rate2023Tracked since
3,990Hours in CS4Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,517 → 1,517
+12Tracked matches · now 1,922
−3.5ppWin rate · 48.3% → 44.8%

Rating over time

Premier CS Rating: 19,999 +872 30 Apr – 4 Jul · 12 days played
17,33419,999peak 19,99930 Apr4 Jul
Faceit ELO: 1,517 +0 1 Sept – 2 Sept · 2 observations
1,5171,517peak 1,5171 Sept2 Sept
19,999Peak Premier in tracked matches
1,517Highest Faceit ELO seen on CSDB
29Days played since 2026-04-29

Faceit ELO

  • At peak — 1,517
  • Next: Level 8 at 1,531 — 14 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate38%——
K/D1.09——
Headshot %58%——

Measured 3 Sep 2026 → 5 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGHalloween MoneyboyPEAK ELO1,517csdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLLLWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · +20ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 594ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 609ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 599ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim5.9
Utility5.1
Positioning4.8
Opening Duels2.4
Clutch4.4

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

NiKo

Plays most like NiKo 85% 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

T-side openings. Opening success drops from 46% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim5.9
Positioning4.8
Utility5.1
Mechanics5.8
Opening Duels2.1
Win Impact3.3

Composite 4.7/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time606ms−3ms
first ⅓ avg 609ms → last ⅓ avg 606ms
Headshot accuracy16.8%−1.9%
first ⅓ avg 18.7% → last ⅓ avg 16.8%

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

0.10Best match rating · 13–3 · cache, 14 May →
56%Best headshot accuracy · 13–5 · nuke, 14 May →
445msFastest reaction time · 6–13 · ancient, 1 Aug →
13–1Biggest win · cache, 3 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
10–3In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 67% over 15anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA2616–1062%0.02
infernoB2311–1248%-0.01
ancientC167–944%-0.01
nukeS1510–567%0.01
anubisD62–433%-0.01
dust2—40–40%-0.02
mirage—40–40%-0.02
overpass—40–40%-0.01
vertigo—21–150%0.01

Across the last 100 tracked matches.

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

Lifetime stats

101,007Lifetime kills
1.20K/D · Top 25% of tracked players
4,856Matches
45.6%Match win rate · Top 50% of tracked players
45.5%Headshot % · Top 50% of tracked players
10.7%Shot accuracy
10,509MVPs
2,150Hours (in match)
6,355Bombs planted
1,295Bombs defused

Most-used weapons

AK-4735,170
AWP8,210
MP94,143
P902,865
MAC-102,865

Lifetime map wins

5,684inferno
3,522dust2
3,365nuke
2,994vertigo
1,186cbble
701train
205lake
82office

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

Faceit stats

Combat

369Matches
51%Win rate
1.06Avg K/D
73.3ADR
44%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno7555%0.9513.1
Mirage7356%1.1915.4
Ancient7047%1.0215.2
Anubis3456%1.1514.5
Dust23330%1.0114.6
Nuke3063%1.0213.9
Vertigo2843%1.1815.1
Train1155%1.0416.9

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.

17.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
39.5%Spray accuracy
76.2%Counter-strafing
11.5°Preaim
596msReaction time
16.1%T opening success
46.4%CT opening success
0.37Enemies flashed / flash
1.7%Flash assists
10.83HE damage / grenade
11.18Flashes / 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

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

    Enemies flashed per flash 0.3677 — below the 0.5 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 16.149% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0614%28 Sept →
cache10–130.0313%17 Sept →
inferno7–13-0.0222%17 Sept →
ancient10–13-0.0718%17 Sept →
nuke16–140.0222%16 Sept →
cache13–90.0321%16 Sept →
inferno13–5-0.048%16 Sept →
nuke16–130.0720%9 Sept →
mirage11–13-0.0426%29 Aug →
nuke5–13-0.0517%1 Aug →
ancient6–13-0.0710%1 Aug →
inferno13–10-0.0228%1 Aug →
nuke6–13-0.0321%28 Jul →
inferno6–13-0.0218%28 Jul →
anubis5–130.0513%28 Jul →
cache6–13-0.0419%28 Jul →
inferno8–13-0.0317%14 Jul →
inferno8–130.0412%14 Jul →
ancient5–13-0.0424%14 Jul →
nuke13–3-0.0314%14 Jul →
inferno4–13-0.0218%10 Jul →
inferno16–140.0221%10 Jul →
ancient16–14-0.0614%10 Jul →
cache13–40.0315%9 Jul →
nuke13–8-0.0213%9 Jul →
cache13–3-0.0117%6 Jul →
vertigo12–120.0212%4 Jul →
nuke13–11-0.0116%4 Jul →
anubis13–11-0.0217%4 Jul →
ancient7–13-0.024%4 Jul →
cache13–50.0222%4 Jul →
inferno7–130.0015%3 Jul →
cache13–10.0915%3 Jul →
inferno13–70.0234%1 Jul →
nuke13–60.0627%1 Jul →
nuke10–13-0.0125%1 Jul →
overpass3–130.0215%1 Jul →
inferno16–120.0116%1 Jul →
anubis6–13-0.0510%28 Jun →
inferno16–120.0225%28 Jun →
ancient9–13-0.0218%28 Jun →
ancient15–150.0216%28 Jun →
anubis10–13-0.0419%28 Jun →
ancient13–110.0419%28 Jun →
nuke16–130.0421%27 Jun →
ancient13–60.0911%27 Jun →
nuke13–20.0413%27 Jun →
cache13–80.0820%27 Jun →
vertigo13–3-0.0011%27 Jun →
cache6–20.0718%27 Jun →
nuke13–90.0115%26 Jun →
dust25–13-0.0826%24 Jun →
inferno13–100.0222%24 Jun →
ancient3–13-0.0711%24 Jun →
ancient16–14-0.0115%24 Jun →
anubis16–130.0015%24 Jun →
overpass6–130.0315%24 Jun →
mirage13–16-0.0410%24 Jun →
dust28–130.0124%24 Jun →
inferno11–13-0.0517%7 Jun →
inferno6–13-0.0216%7 Jun →
nuke8–130.0212%7 Jun →
mirage8–13-0.0428%5 Jun →
inferno13–4-0.0123%5 Jun →
overpass2–13-0.0316%5 Jun →
ancient13–7-0.0314%5 Jun →
inferno7–13-0.0021%16 May →
inferno4–13-0.084%16 May →
ancient13–30.0426%16 May →
cache12–3-0.0720%16 May →
inferno11–13-0.0014%15 May →
ancient1–13-0.0415%15 May →
ancient13–100.0219%15 May →
cache13–70.0110%15 May →
ancient15–150.0126%15 May →
inferno13–160.0212%15 May →
nuke13–50.0556%14 May →
cache1–130.0428%14 May →
cache7–13-0.0818%14 May →
cache13–30.1024%14 May →
cache13–30.0628%14 May →
inferno13–11-0.0026%13 May →
cache13–10-0.0112%9 May →
nuke10–13-0.0422%9 May →
cache13–60.0124%2 May →
cache5–13-0.0414%2 May →
inferno16–140.0020%2 May →
mirage13–160.0320%1 May →
inferno13–90.0420%1 May →
cache12–120.0816%30 Apr →
cache13–110.079%30 Apr →
overpass10–13-0.0415%30 Apr →
anubis3–13-0.019%30 Apr →
dust215–150.0713%30 Apr →
cache5–13-0.0810%30 Apr →
cache13–10-0.0214%30 Apr →
cache7–130.0114%29 Apr →
cache4–130.0221%29 Apr →
cache13–50.0422%29 Apr →
cache4–130.0215%29 Apr →

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 →

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