Måd Coz Båd [LOMMR]

Måd Coz Båd [LOMMR] — CS2 Stats

76561198231907240[U:1:271641512]Steam profile ↗✓ No bans

1,916Tracked matches47%Win rate2020Tracked since
3,750Hours in CS30Hrs last 2 wks
CSDB Rating4.5 DevelopingPassive Rifler
FaceitLevel 7 · 1,587 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 medianLevel 8 medianvs Level 8
Headshot rate47.5%46.2%47.2%meets
Shot accuracy17.5%12.5%12.3%above
Kill/death ratio1.111.061.07above
Match win rate62.2%45.9%46.3%above

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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CSDB.GGMåd Coz Båd [LOMMR]FACEITLevel 7 · 1,587 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning41
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49501Last 10049%Win rateWLWLLLLWWW

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

Player DNA

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

Aim6.7
Aggression3.6
Utility4.3
Positioning4.1
Opening Duels0.0
Clutch3.2

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

NiKo

Plays most like NiKo 80% playstyle similarity

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

Where you differ: lower positioning profile; 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. 568ms 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

Aim6.7
Positioning4.1
Utility4.3
Mechanics5.6
Opening Duels0.0
Win Impact3.9

Composite 4.5/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time578ms−9ms
first ⅓ avg 587ms → last ⅓ avg 578ms
Headshot accuracy16.1%−1.2%
first ⅓ avg 17.3% → last ⅓ avg 16.1%

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

0.36Best rating — vertigo 9–0
131Biggest win — mirage
5Longest win streak
910In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 64% over 14ancientWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB22111150%0.01
ancientC1971237%-0.00
anubisC167944%-0.02
nukeA149564%-0.00
mirageA95456%0.00
cacheB84450%0.02
dust2A74357%0.01
vertigo32167%0.15
overpass2020%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,407Lifetime kills
1.11K/D · Top 50% of Level 7 players
10,676Matches
62.2%Match win rate · Top 5% of Level 7 players
47.5%Headshot % · Top 50% of Level 7 players
17.5%Shot accuracy · Top 25% of Level 7 players
15,988MVPs
2,182Hours (in match)
4,941Bombs planted
1,063Bombs defused

Most-used weapons

AK-4750,043
AWP15,393
Tec-94,315
P2504,075
MP92,829

Lifetime map wins

7,105inferno
6,903dust2
3,157nuke
2,061cbble
1,662vertigo
1,454train
299office
191safehouse

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

Faceit stats

Combat

585Matches
50%Win rate
0.98Avg K/D
71.9ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis9456%0.9514.6
Inferno8849%0.8714.3
Ancient7948%0.9014.8
Mirage5843%0.9915.9
Nuke3453%1.0115.3
Dust21346%0.8013.3
Vertigo967%1.0516.4
Train743%0.8014.3

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.

16.0%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.7%Spray accuracy
75.3%Counter-strafing
11.5°Preaim
568msReaction time
27.4%T opening success
30.2%CT opening success
0.43Enemies flashed / flash
5.9%Flash assists
7.15HE damage / grenade
5.19Flashes / 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 0.4269 — 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 27.4428% — below the 40% mark we flag

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.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno16–120.047%27 Aug
mirage8–13-0.0316%27 Aug
inferno13–70.0122%27 Aug
ancient6–13-0.0315%27 Aug
anubis7–13-0.025%24 Aug
nuke10–13-0.017%24 Aug
mirage11–13-0.0013%24 Aug
inferno13–9-0.0216%24 Aug
ancient13–110.008%23 Aug
anubis13–6-0.0229%23 Aug
mirage13–4-0.0412%23 Aug
ancient13–11-0.0118%23 Aug
inferno7–130.0117%23 Aug
nuke9–4-0.0016%23 Aug
vertigo9–00.369%23 Aug
inferno9–30.0420%23 Aug
mirage16–13-0.0415%23 Aug
inferno13–16-0.0417%23 Aug
cache7–13-0.0815%22 Aug
inferno8–13-0.0615%22 Aug
dust219–16-0.0219%22 Aug
ancient6–13-0.0035%22 Aug
anubis13–160.0317%21 Aug
inferno4–13-0.0714%21 Aug
inferno7–130.0521%20 Aug
mirage13–90.0017%20 Aug
inferno13–70.0321%20 Aug
anubis13–80.0530%16 Aug
ancient13–80.0321%24 Jul
anubis13–6-0.0011%6 Jul
nuke6–13-0.0315%24 Jun
ancient11–130.009%24 Jun
anubis11–13-0.088%24 Jun
ancient13–80.039%23 Jun
cache13–3-0.0331%22 Jun
inferno9–50.0515%22 Jun
inferno9–50.1322%22 Jun
ancient13–16-0.0314%21 Jun
anubis13–11-0.108%21 Jun
dust213–40.0922%17 Jun
ancient13–30.0830%17 Jun
anubis4–11-0.088%17 Jun
inferno9–13-0.0424%15 Jun
cache7–130.0424%15 Jun
dust211–13-0.0221%15 Jun
ancient4–13-0.0034%15 Jun
mirage11–130.0211%14 Jun
dust213–90.0421%14 Jun
ancient5–13-0.0421%14 Jun
cache13–30.1726%12 Jun
cache0–13-0.0419%12 Jun
cache13–110.0819%12 Jun
cache13–80.0510%12 Jun
vertigo6–9-0.0421%12 Jun
ancient12–16-0.0222%11 Jun
anubis17–19-0.0314%9 Jun
nuke13–3-0.0318%9 Jun
mirage13–10.1224%9 Jun
inferno19–16-0.0213%8 Jun
overpass14–16-0.0221%5 Jun
mirage7–13-0.0432%5 Jun
anubis8–13-0.0516%5 Jun
ancient6–130.1020%5 Jun
cache14–16-0.0331%2 Jun
inferno13–9-0.0312%2 Jun
anubis13–70.0322%2 Jun
ancient1–13-0.0611%2 Jun
ancient0–13-0.100%2 Jun
ancient13–30.019%2 Jun
inferno7–9-0.0122%31 May
inferno9–30.2431%31 May
overpass4–9-0.0711%31 May
vertigo9–70.1210%31 May
anubis5–13-0.0114%26 May
nuke6–13-0.036%26 May
inferno13–110.0126%26 May
nuke13–70.0119%25 May
anubis5–13-0.0117%25 May
mirage13–80.0129%25 May
nuke16–140.0119%25 May
anubis5–13-0.0314%25 May
nuke5–13-0.0729%25 May
nuke8–130.018%25 May
inferno1–13-0.0417%25 May
dust213–40.0517%25 May
ancient15–150.018%25 May
nuke13–60.0325%24 May
nuke13–60.1014%24 May
ancient13–160.0421%24 May
anubis13–11-0.0217%24 May
dust26–13-0.0110%24 May
nuke13–90.0119%24 May
inferno3–13-0.0319%24 May
nuke16–14-0.0117%24 May
ancient13–9-0.036%24 May
inferno6–90.0315%24 May
dust211–13-0.0320%22 May
inferno5–13-0.0438%22 May
nuke13–10-0.0519%22 May
anubis13–4-0.0027%22 May

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 →