mushroomed

mushroomed — CS2 Stats

FI76561198016002370[U:1:55736642]Steam profile ↗✓ No bans

846Tracked matches52%Win rate2020Tracked since
5,355Hours in CS10Hrs last 2 wks
CSDB Rating6.7 SolidSupport
CSDB Leaderboard#11803 of 222547 tracked
WingmanThe Global Elite
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 49 days played since 3 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 26,013 +1,116 8 Nov13 Jun · 21 days played
24,89728,766peak 28,7668 Nov13 Jun
28,766Peak Premier in tracked matches
2,058Highest Faceit ELO seen on CSDB
49Days played since 2025-11-03

Faceit ELO

  • At peak — 2,058
  • Next: 2,500 ELO at 2,500 442 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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.

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CSDB.GGmushroomedPEAK ELO2,058csdb.gg/stats

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Performance scores

Aim87
Positioning61
Utility73

0–100 skill scores via Leetify.

Recent form

COLD50446Last 10050%Win rateWLLWLWTLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −3.5pp headshot accuracy · −99ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 483ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 528ms

Last 20

  • 992 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 577ms

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: SupportUtility contribution stands above the rest of this profile (+2.9 against its own average).

Aim8.7
Utility7.3
Positioning6.1
Opening Duels1.2
Clutch3.2

Sharp aimer

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 588ms 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

Aim8.7
Positioning6.1
Utility7.3
Mechanics7.3
Opening Duels1.5
Win Impact5.6

Composite 6.7/10 (Solid), 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 rating0.06+0.06
first ⅓ avg 0.00 → last ⅓ avg 0.06
Reaction time597ms+11ms
first ⅓ avg 587ms → last ⅓ avg 597ms
Headshot accuracy21.8%+2.7%
first ⅓ avg 19.0% → last ⅓ avg 21.8%

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

0.33Best match rating · 9–2 · poseidon, 24 Jul
46%Best headshot accuracy · 6–13 · mirage, 22 Apr
398msFastest reaction time · 6–13 · inferno, 28 Nov
13–1Biggest win · nuke, 11 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
109In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 67% over 6dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB29141548%0.02
nukeA169756%0.01
dust2C104640%0.02
ancientA106460%0.03
cacheC73443%0.05
mirageS64267%0.01
overpassC52340%-0.00
trainC52340%0.01
poseidon43175%0.14
vertigo41325%0.01
anubis31233%0.04
debris110100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

255,329Lifetime kills
1.31K/D · Top 10% of tracked players
8,230Matches
48.2%Match win rate · Top 50% of tracked players
43.4%Headshot %
20.8%Shot accuracy · Top 5% of tracked players
30,367MVPs
4,393Hours (in match)
9,971Bombs planted
2,115Bombs defused

Most-used weapons

AK-4793,471
AWP43,766
P2507,773
FAMAS7,217
Knife4,621

Lifetime map wins

19,903inferno
12,788train
7,452nuke
7,233cbble
6,401dust2
3,683vertigo
449lake
62aztec

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

Faceit stats

Combat

3,959Matches
51%Win rate
1.28Avg K/D
84.4ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno8556%1.3017.7
Nuke6050%1.2517.9
Dust23946%1.0215.6
Mirage3658%1.1716.9
Cache3269%1.2018.0
Ancient2532%0.9614.6
Train1968%1.3018.4
Overpass1850%1.1917.7

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.

21.5%Headshot accuracy
40.1%Accuracy (enemy spotted)
45.6%Spray accuracy
82.9%Counter-strafing
9.3°Preaim
588msReaction time
30.0%T opening success
42.3%CT opening success
0.62Enemies flashed / flash
8.7%Flash assists
9.73HE damage / grenade
12.53Flashes / 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 29.9657% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0922%14 Sept
inferno0–13-0.0128%14 Sept
inferno0–13-0.017%11 Sept
dust213–60.0928%11 Sept
cache11–130.0614%11 Sept
nuke13–10.0921%11 Sept
cache12–120.0019%8 Sept
dust23–13-0.0324%4 Sept
inferno14–16-0.0216%15 Aug
cache12–16-0.0122%15 Aug
inferno13–11-0.0126%7 Aug
poseidon9–50.1440%31 Jul
vertigo5–90.0511%31 Jul
inferno7–90.1613%31 Jul
cache13–70.0814%26 Jul
nuke13–50.0138%26 Jul
inferno13–30.0324%26 Jul
dust213–40.0620%26 Jul
inferno8–80.1228%24 Jul
vertigo5–9-0.0722%24 Jul
poseidon9–20.3324%24 Jul
inferno9–70.1531%24 Jul
poseidon5–9-0.0232%17 Jul
debris9–6-0.0310%17 Jul
vertigo8–80.0315%17 Jul
nuke9–20.2920%17 Jul
inferno9–30.0818%17 Jul
poseidon9–70.1218%17 Jul
cache13–110.1231%15 Jul
inferno13–40.0729%12 Jul
mirage13–40.0015%13 Jun
inferno13–6-0.0128%13 Jun
inferno13–80.0312%23 May
dust25–130.0417%19 May
dust213–20.0327%19 May
inferno7–13-0.0519%15 May
nuke11–130.0127%9 May
inferno13–160.0122%7 May
cache4–130.0310%6 May
nuke9–13-0.0218%6 May
nuke0–3-0.0329%6 May
overpass13–30.0320%6 May
anubis8–130.0727%6 May
cache13–50.0517%30 Apr
ancient10–13-0.0113%30 Apr
inferno9–130.1014%30 Apr
mirage13–10-0.0317%29 Apr
ancient13–90.1124%24 Apr
overpass2–4-0.010%24 Apr
inferno11–130.0221%23 Apr
ancient5–00.0425%23 Apr
inferno13–100.0514%23 Apr
ancient13–20.0218%22 Apr
nuke13–110.0322%22 Apr
mirage6–13-0.0446%22 Apr
anubis5–13-0.0025%22 Apr
ancient7–13-0.0019%21 Apr
nuke7–13-0.0510%20 Apr
inferno13–40.029%20 Apr
dust27–13-0.0314%20 Apr
inferno5–13-0.0418%20 Apr
inferno13–9-0.0623%19 Apr
dust215–150.0019%18 Apr
anubis13–30.0617%18 Apr
vertigo13–100.0514%18 Apr
inferno13–30.1243%18 Apr
nuke8–13-0.0818%31 Mar
nuke13–11-0.0126%28 Feb
mirage11–130.038%13 Feb
inferno11–130.0113%17 Jan
dust210–130.0122%15 Jan
train13–80.0327%4 Jan
ancient13–110.0212%4 Jan
nuke13–30.0826%3 Jan
overpass9–13-0.0010%3 Jan
train13–110.0017%3 Jan
inferno4–13-0.0617%2 Jan
inferno13–9-0.0615%29 Dec
inferno10–13-0.0516%22 Dec
nuke13–11-0.0216%19 Dec
inferno11–130.0616%8 Dec
train5–13-0.0319%8 Dec
ancient13–30.0319%29 Nov
nuke12–20.0222%29 Nov
nuke13–11-0.0318%28 Nov
inferno6–13-0.0418%28 Nov
overpass6–13-0.0326%28 Nov
mirage13–80.0224%28 Nov
ancient8–13-0.0117%26 Nov
overpass13–6-0.0110%26 Nov
train15–150.0517%26 Nov
nuke10–13-0.0221%25 Nov
inferno13–6-0.0124%10 Nov
ancient7–13-0.0317%10 Nov
dust213–60.0442%10 Nov
ancient13–70.0918%9 Nov
inferno13–50.0519%8 Nov
nuke4–13-0.0426%4 Nov
dust26–13-0.0611%3 Nov
train15–150.0122%3 Nov

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →