Chud Magoo

Chud Magoo — CS2 Stats

US76561198066777401[U:1:106511673]Steam profile ↗✓ No bans

629Tracked matches38%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
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. 46 days played since 12 Mar 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,256 -5,314 13 Mar16 Jan · 17 days played
8,71814,570peak 14,57013 Mar16 Jan
14,570Peak Premier in tracked matches
46Days played since 2025-03-12

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.

Performance scores

Aim44
Positioning53
Utility48

0–100 skill scores via Leetify.

Recent form

COLD41545Last 10041%Win rateTLLWWLLLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +6.2pp headshot accuracy · −87ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 567ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 595ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 639ms

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: Positional PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim4.4
Utility4.8
Positioning5.3
Opening Duels3.2

Limited 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.

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

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 — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 632ms 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

Aim4.4
Positioning5.3
Utility4.8
Mechanics7.0
Opening Duels2.9
Win Impact1.2

Composite 4.6/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time629ms+13ms
first ⅓ avg 616ms → last ⅓ avg 629ms
Headshot accuracy18.7%+1.9%
first ⅓ avg 16.8% → last ⅓ avg 18.7%

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

0.11Best match rating · 13–7 · overpass, 30 Sept
33%Best headshot accuracy · 12–12 · cache, 1 Sept
422msFastest reaction time · 6–13 · inferno, 15 Jan
13–3Biggest win · dust2, 4 Oct

Across the last 100 tracked matches.

Highlights

4Longest win streak
912In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 80% over 5ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB24111346%-0.02
mirageC2281436%-0.01
ancientD1751229%-0.02
overpassB136746%-0.01
cacheC73443%-0.01
dust2S54180%-0.00
nuke41325%-0.06
train3030%-0.05
vertigo21150%0.00
warden1010%-0.04
italy110100%0.08
office110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

18.1%Headshot accuracy
28.6%Accuracy (enemy spotted)
27.2%Spray accuracy
81.6%Counter-strafing
11.7°Preaim
632msReaction time
41.3%T opening success
41.9%CT opening success
0.62Enemies flashed / flash
4.5%Flash assists
13.16HE damage / grenade
4.51Flashes / match

Recommended for you

Spend your practice time on Ancient

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 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–120.0133%1 Sept
inferno7–13-0.0433%10 Jul
inferno6–130.0420%7 Jul
cache13–8-0.0316%25 Jun
mirage13–100.0525%25 Jun
cache7–130.0618%24 Jun
warden8–13-0.0421%16 May
cache9–13-0.1017%16 May
cache7–13-0.0518%16 May
inferno13–11-0.0431%6 May
cache13–50.0118%29 Apr
cache13–110.0515%29 Apr
overpass7–13-0.086%28 Apr
mirage9–13-0.0621%28 Apr
inferno13–10-0.0514%25 Apr
inferno6–13-0.0530%25 Apr
overpass11–13-0.0313%13 Mar
ancient12–12-0.0413%10 Mar
mirage7–13-0.0714%19 Feb
inferno7–10.0227%2 Feb
mirage15–15-0.0113%2 Feb
inferno7–130.0026%2 Feb
overpass9–50.0125%1 Feb
nuke13–8-0.079%23 Jan
nuke6–13-0.0523%16 Jan
overpass9–130.0026%16 Jan
inferno6–13-0.0911%15 Jan
inferno13–9-0.049%15 Jan
train15–15-0.085%15 Jan
inferno13–110.0217%13 Jan
mirage3–13-0.0813%13 Jan
mirage11–130.0117%13 Jan
ancient2–13-0.0321%13 Jan
inferno13–7-0.029%13 Jan
inferno14–16-0.0410%11 Jan
overpass13–8-0.0116%2 Jan
inferno13–11-0.079%16 Dec
overpass11–13-0.0429%11 Nov
ancient13–11-0.0715%7 Oct
mirage13–80.0623%7 Oct
inferno9–130.0420%7 Oct
ancient13–50.0516%7 Oct
dust213–30.0224%4 Oct
mirage13–90.0221%4 Oct
overpass13–60.0115%4 Oct
train2–13-0.078%4 Oct
overpass16–12-0.0211%2 Oct
overpass13–70.1126%30 Sept
ancient16–130.0118%30 Sept
ancient8–13-0.0120%28 Sept
mirage5–13-0.0811%28 Sept
overpass15–15-0.0425%18 Sept
ancient7–13-0.0712%18 Sept
mirage13–90.0113%18 Sept
ancient10–130.0029%2 Sept
mirage5–13-0.0311%2 Sept
mirage8–13-0.0425%2 Sept
ancient6–13-0.0811%11 Jul
italy13–40.0812%28 Jun
office13–11-0.0312%28 Jun
overpass13–10-0.0115%26 Jun
ancient11–130.0514%26 Jun
inferno13–40.038%26 Jun
mirage13–70.0511%26 Jun
ancient13–110.029%25 Jun
dust213–6-0.0132%25 Jun
inferno2–13-0.104%25 Jun
nuke11–13-0.0314%24 Jun
inferno13–6-0.0024%28 May
ancient7–13-0.0318%28 May
train9–13-0.0121%16 Apr
mirage10–13-0.0120%16 Apr
ancient13–8-0.0915%16 Apr
mirage14–16-0.0312%10 Apr
mirage12–16-0.0211%9 Apr
inferno13–8-0.0613%9 Apr
inferno6–130.0415%19 Mar
ancient10–130.002%17 Mar
mirage13–100.0314%17 Mar
inferno8–13-0.0319%17 Mar
mirage0–9-0.0426%17 Mar
ancient9–13-0.0511%16 Mar
dust213–60.0315%16 Mar
overpass9–130.0316%16 Mar
inferno7–9-0.0914%16 Mar
nuke7–9-0.0722%16 Mar
mirage13–11-0.0011%15 Mar
inferno9–13-0.0220%15 Mar
ancient12–16-0.0212%15 Mar
dust211–13-0.0320%15 Mar
ancient10–13-0.0114%14 Mar
mirage5–13-0.1022%14 Mar
overpass11–13-0.0612%14 Mar
inferno6–13-0.0316%14 Mar
mirage11–130.0215%14 Mar
inferno13–80.0418%14 Mar
vertigo13–100.0129%13 Mar
dust213–9-0.0122%13 Mar
mirage16–14-0.0120%13 Mar
vertigo5–13-0.0021%12 Mar

Match data via Leetify.

Recent teammates

Milestones

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