Missil Mads

Missil Mads — CS2 Stats

DK76561199423544143[U:1:1463278415]Steam profile ↗✓ No bans

3,203Tracked matches54%Win rate2023Tracked since
1,402Hours in CS
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating8,692Light Blue band · top ~61.1% of ranked players (population est.)
FaceitLevel 3 · 1,154 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,692 -1,308 2 Sept – 25 Oct · 18 days played
7,41310,118peak 10,1182 Sept25 Oct
10,508Peak Premier in tracked matches
1,154Highest Faceit ELO seen on CSDB
30Days played since 2026-09-02

Faceit ELO

  • At peak — 1,154
  • Next: Level 6 at 1,201 — 47 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-02
  • Level 4 first seen 2026-09-02

Premier CS Rating

  • 1,426 below peak (10,118)
  • -104 over 30 days · steady
  • Next: Blue band at 10,000 — 1,308 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate55.7%41.8%42.7%above
Shot accuracy4.4%12.2%11.2%6.8% short
Kill/death ratio0.920.980.990.08 short
Match win rate44.4%43.3%43.9%meets

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMissil MadsFACEITLevel 3 · 1,154 ELOSTANDINGTop 90.6% of rankedPREMIER8,692 · Light Blue bandPEAK ELO1,154csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning64
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLWWLWLWLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · +39ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 706ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 667ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 648ms

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 Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim5.6
Utility4.3
Positioning6.4
Opening Duels5.0
Clutch4.8

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

s1mple

Plays most like s1mple 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 649ms 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

Aim5.6
Positioning6.4
Utility4.3
Mechanics5.0
Opening Duels5.9
Win Impact6.2

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time645ms−67ms
first ⅓ avg 711ms → last ⅓ avg 645ms
Headshot accuracy20.4%−2.0%
first ⅓ avg 22.4% → last ⅓ avg 20.4%

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

0.20Best match rating · 13–6 · inferno, 7 Oct →
40%Best headshot accuracy · 6–9 · poseidon, 22 Sept →
398msFastest reaction time · 6–9 · inferno, 27 Sept →
13–1Biggest win · mirage, 20 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 83% over 12infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%-0.02
infernoD217–1433%-0.02
nukeB136–746%0.01
mirageB126–650%0.00
cacheS1210–283%0.02
anubisS96–367%-0.00
ancientD62–433%-0.01
poseidon—31–233%0.03
overpass—22–0100%0.03
eldorado—10–10%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,684Lifetime kills
0.92K/D
4,142Matches
44.4%Match win rate · Top 50% of Level 3 players
55.7%Headshot % · Top 10% of Level 3 players
4.4%Shot accuracy
12,314MVPs
1,402Hours (in match)
2,820Bombs planted
612Bombs defused

Most-used weapons

AK-4721,952
AWP6,136
MP92,197
MAC-101,539
SSG 081,359
Knife1,164

Lifetime map wins

8,805inferno
5,740nuke
3,436dust2
2,607vertigo
545office
488cbble
367train
137italy

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

Faceit stats

Combat

196Matches
48%Win rate
0.95Avg K/D
76.0ADR
53%Headshot %

Clutches & streaks

44%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4939%0.8914.3
Dust23754%0.9816.4
Nuke3554%1.2415.4
Anubis2843%0.7914.5
Ancient2050%1.0115.1
Mirage1436%0.6511.8
Overpass683%1.0615.3
Vertigo580%0.7112.2

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.

20.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.8%Spray accuracy
72.7%Counter-strafing
10.6°Preaim
649msReaction time
56.0%T opening success
51.4%CT opening success
0.47Enemies flashed / flash
12.2%Flash assists
10.21HE damage / grenade
4.79Flashes / 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 0.467 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0114%27 Oct →
dust213–110.0322%27 Oct →
dust213–8-0.0312%26 Oct →
inferno9–13-0.0714%25 Oct →
anubis13–7-0.0216%22 Oct →
dust211–130.0018%20 Oct →
mirage13–1-0.0238%20 Oct →
inferno5–13-0.0312%20 Oct →
anubis13–10-0.0333%18 Oct →
nuke13–70.0425%18 Oct →
inferno13–50.0333%18 Oct →
cache13–30.0726%18 Oct →
dust29–13-0.0619%17 Oct →
inferno8–130.0219%16 Oct →
cache13–70.0324%16 Oct →
ancient11–13-0.0022%16 Oct →
nuke13–80.0111%15 Oct →
nuke13–11-0.029%15 Oct →
cache13–11-0.0526%15 Oct →
inferno12–120.0211%14 Oct →
mirage13–2-0.0015%14 Oct →
dust213–2-0.0621%14 Oct →
inferno8–13-0.0315%12 Oct →
dust212–12-0.0427%12 Oct →
mirage13–40.1026%12 Oct →
ancient4–130.0213%11 Oct →
ancient8–130.0025%11 Oct →
poseidon9–50.1827%11 Oct →
dust27–13-0.0515%10 Oct →
dust22–13-0.0519%10 Oct →
inferno8–13-0.0329%10 Oct →
mirage4–130.047%10 Oct →
inferno13–60.0433%9 Oct →
inferno7–13-0.042%9 Oct →
dust213–9-0.0125%8 Oct →
inferno13–8-0.0713%8 Oct →
eldorado4–9-0.1314%8 Oct →
inferno9–2-0.0218%8 Oct →
nuke9–13-0.0918%7 Oct →
inferno13–60.2025%7 Oct →
anubis13–30.1026%7 Oct →
cache13–70.0916%7 Oct →
mirage10–13-0.0117%6 Oct →
ancient12–12-0.0216%6 Oct →
dust213–30.0220%6 Oct →
poseidon8–80.0118%6 Oct →
mirage13–100.0116%5 Oct →
dust25–13-0.0121%5 Oct →
inferno10–13-0.0814%4 Oct →
ancient12–5-0.0317%4 Oct →
inferno9–4-0.0423%4 Oct →
anubis12–120.0117%4 Oct →
anubis3–13-0.0628%3 Oct →
cache13–90.0122%3 Oct →
mirage13–4-0.0123%3 Oct →
dust213–70.0223%3 Oct →
inferno13–2-0.0317%3 Oct →
anubis13–90.0617%3 Oct →
nuke6–13-0.0621%3 Oct →
mirage3–13-0.0614%3 Oct →
nuke9–20.1223%3 Oct →
dust22–13-0.0317%3 Oct →
inferno7–13-0.0320%2 Oct →
nuke9–13-0.0718%2 Oct →
dust25–13-0.0517%2 Oct →
cache13–2-0.0429%2 Oct →
nuke16–140.0328%30 Sept →
cache13–1-0.0130%30 Sept →
dust213–6-0.0217%29 Sept →
nuke8–13-0.0125%29 Sept →
mirage13–90.0223%29 Sept →
dust213–7-0.0124%28 Sept →
cache13–4-0.0517%28 Sept →
inferno2–9-0.2425%28 Sept →
anubis13–6-0.0613%27 Sept →
mirage7–130.0433%27 Sept →
nuke8–80.0514%27 Sept →
inferno6–90.0129%27 Sept →
inferno8–80.0521%27 Sept →
inferno4–13-0.0532%26 Sept →
cache9–130.0323%26 Sept →
dust26–13-0.0231%26 Sept →
mirage4–13-0.0230%25 Sept →
anubis4–13-0.037%25 Sept →
nuke7–130.0127%25 Sept →
overpass13–6-0.0218%25 Sept →
ancient13–10-0.045%25 Sept →
cache13–100.0223%25 Sept →
inferno10–13-0.0421%25 Sept →
mirage5–13-0.0624%25 Sept →
dust29–13-0.0216%25 Sept →
dust212–12-0.0224%23 Sept →
cache6–13-0.0123%23 Sept →
dust213–50.0415%22 Sept →
nuke13–100.0818%22 Sept →
anubis13–100.0320%22 Sept →
overpass9–20.0821%22 Sept →
poseidon6–9-0.0940%22 Sept →
dust26–13-0.0120%21 Sept →
cache13–100.0928%21 Sept →

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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