MF DOOM

MF DOOM — CS2 Stats

AQ76561199551673307[U:1:1591407579]Steam profile ↗✓ No bans

3,488Tracked matches43%Win rate2023Tracked since
3,769Hours in CS72Hrs last 2 wks
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating23,048Top 50% of 819 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#4382 of 16646 tracked
FaceitLevel 9 · 1,646 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 medianvs Level 10
Headshot rate64.2%52.8%above
Shot accuracy0.1%13.7%13.6% short
Kill/death ratio1.021.080.06 short
Match win rate49.8%49.2%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMF DOOMFACEITLevel 9 · 1,646 ELOSTANDINGTop 20.7% of rankedPREMIER23,048 · Pink bandcsdb.gg/stats

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Performance scores

Aim65
Positioning48
Utility66

0–100 skill scores via Leetify.

Recent form

COLD51472Last 10051%Win rateLLWLLLLWLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression6.1
Utility6.6
Positioning4.8
Opening Duels2.3
Clutch3.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim6.5
Positioning4.8
Utility6.6
Mechanics5.4
Opening Duels2.5
Win Impact2.8

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time553ms−35ms
first ⅓ avg 588ms → last ⅓ avg 553ms
Headshot accuracy18.0%−0.0%
first ⅓ avg 18.0% → last ⅓ avg 18.0%

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.

Highlights

0.14Best rating — dust2 13–6
132Biggest win — cache
6Longest win streak
L2Current streak
77In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 80% over 5cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA25141156%-0.01
mirageC1971237%-0.03
ancientS1913668%-0.01
dust2B168850%-0.00
cacheD82625%-0.04
anubisC73443%-0.02
nukeS54180%-0.04
boulder1010%-0.03

Across the last 100 tracked matches.

Lifetime stats

123,357Lifetime kills
1.02K/D
3,985Matches
49.8%Match win rate · Top 25% of Pink band
64.2%Headshot % · Top 10% of Pink band
0.1%Shot accuracy
8,147MVPs
2,669Hours (in match)
4,339Bombs planted
1,079Bombs defused

Most-used weapons

AK-4779,651
MP93,127
MAC-102,449
AWP2,227
Knife937

Lifetime map wins

9,078inferno
5,210nuke
3,825dust2
3,105vertigo
656train
37office
16italy
13cbble

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

Faceit stats

Combat

1,001Matches
53%Win rate
0.93Avg K/D
73.8ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno21350%0.9114.3
Mirage20252%0.8813.8
Ancient18258%0.9715.1
Anubis15155%0.9214.1
Dust29955%1.0114.9
Nuke9260%0.9613.6
Vertigo3148%0.8413.5
Overpass2035%0.9114.0

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.

17.5%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.3%Spray accuracy
74.3%Counter-strafing
10.0°Preaim
556msReaction time
28.7%T opening success
49.8%CT opening success
0.64Enemies flashed / flash
8.2%Flash assists
11.57HE damage / grenade
13.49Flashes / 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 28.7428% — below the 40% mark we flag

Spend your practice time on Cache

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

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

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0328%28 Aug
mirage10–13-0.048%28 Aug
cache13–6-0.0310%27 Aug
dust23–13-0.0817%27 Aug
cache9–13-0.0618%27 Aug
cache6–13-0.0627%27 Aug
ancient9–13-0.0815%25 Aug
inferno13–80.0516%25 Aug
dust24–130.0224%25 Aug
dust213–5-0.0328%25 Aug
dust213–90.0620%25 Aug
mirage12–16-0.0226%24 Aug
cache13–2-0.0117%24 Aug
cache10–130.0122%24 Aug
cache6–13-0.0712%24 Aug
dust213–8-0.0310%24 Aug
ancient13–16-0.0216%24 Aug
inferno11–13-0.0719%23 Aug
ancient13–30.0316%23 Aug
mirage10–13-0.0510%23 Aug
ancient13–9-0.029%21 Aug
dust213–30.0321%21 Aug
anubis5–130.0320%21 Aug
inferno13–7-0.0120%21 Aug
ancient13–100.0522%21 Aug
inferno6–130.0628%20 Aug
nuke16–13-0.0110%20 Aug
inferno13–60.0616%20 Aug
inferno6–13-0.0215%20 Aug
mirage11–13-0.0112%19 Aug
inferno19–160.0420%19 Aug
mirage5–13-0.0521%19 Aug
inferno14–16-0.0221%18 Aug
mirage13–80.0217%17 Aug
inferno13–70.0524%17 Aug
inferno8–13-0.0714%17 Aug
ancient7–130.0513%16 Aug
ancient13–8-0.077%16 Aug
dust213–9-0.0317%16 Aug
dust29–13-0.0021%16 Aug
inferno13–11-0.0214%16 Aug
inferno11–13-0.0710%15 Aug
mirage12–12-0.0311%15 Aug
inferno13–8-0.0319%15 Aug
dust25–13-0.069%15 Aug
mirage5–13-0.084%15 Aug
inferno13–6-0.0220%15 Aug
dust213–70.0218%15 Aug
mirage8–13-0.069%15 Aug
inferno13–70.0215%15 Aug
nuke13–11-0.0811%15 Aug
mirage13–80.0222%15 Aug
inferno16–13-0.0120%15 Aug
ancient13–110.0714%14 Aug
anubis13–4-0.0317%14 Aug
inferno6–13-0.0011%14 Aug
dust214–16-0.0215%14 Aug
dust213–40.1113%14 Aug
ancient9–13-0.0320%14 Aug
dust213–60.1418%14 Aug
ancient13–50.0216%12 Aug
mirage16–14-0.0411%12 Aug
inferno3–130.0414%12 Aug
anubis13–60.0120%12 Aug
inferno13–80.029%12 Aug
mirage4–13-0.0825%11 Aug
cache6–13-0.076%11 Aug
ancient5–00.0229%11 Aug
inferno13–11-0.0315%10 Aug
ancient13–7-0.0221%10 Aug
nuke4–13-0.0515%10 Aug
ancient13–7-0.0222%10 Aug
dust210–13-0.0214%10 Aug
mirage13–3-0.0029%10 Aug
ancient16–130.0012%10 Aug
dust28–13-0.0317%10 Aug
mirage13–9-0.0232%7 Aug
nuke13–5-0.0415%7 Aug
mirage9–13-0.0725%7 Aug
ancient13–16-0.0122%7 Aug
inferno13–7-0.0514%7 Aug
ancient13–80.0323%7 Aug
ancient8–13-0.0421%6 Aug
mirage13–110.0422%5 Aug
nuke13–8-0.0015%5 Aug
anubis15–15-0.0310%30 Jul
anubis11–13-0.0911%30 Jul
inferno7–13-0.0629%29 Jul
inferno13–60.1032%29 Jul
ancient13–3-0.0517%29 Jul
mirage13–11-0.0212%27 Jul
ancient13–9-0.0611%27 Jul
inferno0–4-0.060%24 Jul
anubis11–13-0.029%24 Jul
boulder6–13-0.0323%24 Jul
cache5–13-0.0320%23 Jul
anubis13–10-0.0419%22 Jul
dust28–13-0.0918%22 Jul
inferno2–13-0.0516%22 Jul
mirage5–13-0.074%22 Jul

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 →