MILF

MILF — CS2 Stats

US76561198004357802[U:1:44092074]Steam profile ↗✓ No bans

670Tracked matches27%Win rate2021Tracked since
CSDB Rating3.6 LearningSupport
Premier CS Rating10,330Blue band · top ~53.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−535Premier CS Rating · 10,865 → 10,330

Rating over time

Premier CS Rating: 10,330 -3,459 25 Jul – 17 Oct · 38 days played
10,33015,006peak 15,00625 Jul17 Oct
15,728Peak Premier in tracked matches
39Days played since 2026-07-25

Premier CS Rating

  • 4,676 below peak (15,006)
  • -2,407 over 30 days · declining
  • -3,459 over 90 days
  • Next: Purple band at 15,000 — 4,670 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGMILFPREMIER10,330 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning44
Utility57

0–100 skill scores via Leetify.

Recent form

COLD43–56–1Last 10043%Win rateLLWLLLLLLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −4.3pp headshot accuracy · −42ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 409ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 483ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 504ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim4.9
Utility5.7
Positioning4.4
Opening Duels0.0

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.

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 73% 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

T-side openings. Opening success drops from 39% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.9
Positioning4.4
Utility5.7
Mechanics3.1
Opening Duels1.1
Win Impact0.0

Composite 3.6/10 (Learning), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time488ms−110ms
first ⅓ avg 598ms → last ⅓ avg 488ms
Headshot accuracy11.0%+1.8%
first ⅓ avg 9.2% → last ⅓ avg 11.0%

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.

Personal bests

0.10Best match rating · 13–5 · inferno, 1 Sept →
27%Best headshot accuracy · 2–13 · inferno, 11 Sept →
359msFastest reaction time · 10–13 · nuke, 17 Oct →
13–0Biggest win · anubis, 27 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 64% over 11dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.02
ancientD196–1332%-0.04
nukeB158–753%-0.03
anubisC135–838%-0.03
dust2D113–827%-0.04
cacheA117–464%-0.02
mirageB63–350%-0.01
office—21–150%-0.02
vertigo—10–10%-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 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.

11.2%Headshot accuracy
31.2%Accuracy (enemy spotted)
38.0%Spray accuracy
64.1%Counter-strafing
11.2°Preaim
486msReaction time
21.9%T opening success
38.9%CT opening success
0.68Enemies flashed / flash
5.2%Flash assists
10.33HE damage / grenade
6.30Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1832% — below the 15% mark we flag

    Aim Training →
  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 21.9009% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.064%17 Oct →
nuke10–13-0.079%17 Oct →
anubis16–130.067%14 Oct →
ancient3–13-0.0210%12 Oct →
inferno11–130.0113%10 Oct →
mirage6–13-0.059%7 Oct →
dust210–13-0.0211%7 Oct →
dust21–10-0.0613%3 Oct →
cache7–13-0.0715%3 Oct →
dust212–16-0.1014%2 Oct →
nuke16–13-0.0617%16 Sept →
inferno13–5-0.019%16 Sept →
ancient13–5-0.0211%15 Sept →
ancient5–13-0.0317%11 Sept →
inferno2–13-0.0627%11 Sept →
ancient5–13-0.0221%10 Sept →
inferno4–13-0.0916%9 Sept →
cache9–130.017%8 Sept →
anubis5–13-0.0714%8 Sept →
cache13–9-0.059%8 Sept →
ancient7–13-0.109%7 Sept →
inferno13–8-0.0712%7 Sept →
nuke2–13-0.0410%7 Sept →
cache8–130.0211%5 Sept →
anubis10–130.048%5 Sept →
ancient6–13-0.053%5 Sept →
anubis4–13-0.0413%2 Sept →
mirage13–40.077%1 Sept →
anubis9–13-0.106%1 Sept →
inferno13–50.1010%1 Sept →
nuke13–60.017%1 Sept →
cache13–11-0.0311%27 Aug →
ancient16–12-0.023%27 Aug →
inferno13–70.019%27 Aug →
anubis13–0-0.067%27 Aug →
inferno10–130.008%20 Aug →
cache13–6-0.029%19 Aug →
inferno13–11-0.045%19 Aug →
anubis11–13-0.0116%18 Aug →
nuke13–5-0.079%18 Aug →
nuke13–3-0.0411%18 Aug →
ancient13–10-0.019%18 Aug →
cache13–9-0.0011%18 Aug →
ancient10–13-0.0510%15 Aug →
nuke8–13-0.0612%13 Aug →
dust24–13-0.0712%13 Aug →
ancient13–6-0.042%13 Aug →
inferno6–13-0.0217%13 Aug →
nuke9–13-0.069%13 Aug →
inferno13–8-0.0512%11 Aug →
office13–110.0315%10 Aug →
inferno12–16-0.0112%9 Aug →
mirage13–80.009%9 Aug →
vertigo2–9-0.1311%7 Aug →
office4–13-0.0611%7 Aug →
anubis13–11-0.1010%7 Aug →
inferno7–13-0.047%6 Aug →
mirage2–13-0.0415%6 Aug →
ancient10–13-0.0610%4 Aug →
anubis13–40.038%4 Aug →
cache11–130.0216%3 Aug →
inferno2–13-0.065%3 Aug →
ancient7–13-0.109%2 Aug →
dust213–5-0.045%1 Aug →
dust214–16-0.0423%1 Aug →
ancient11–13-0.037%31 Jul →
nuke13–7-0.007%31 Jul →
inferno9–13-0.0110%30 Jul →
inferno8–13-0.025%30 Jul →
nuke13–40.0711%30 Jul →
cache16–14-0.0011%30 Jul →
anubis7–13-0.0012%30 Jul →
ancient8–13-0.0510%29 Jul →
inferno13–8-0.036%29 Jul →
dust29–13-0.036%29 Jul →
mirage13–8-0.0218%29 Jul →
inferno13–80.049%29 Jul →
nuke9–130.0113%29 Jul →
dust27–13-0.057%29 Jul →
mirage9–13-0.0310%29 Jul →
anubis13–9-0.037%29 Jul →
ancient6–13-0.027%29 Jul →
nuke13–60.059%29 Jul →
inferno13–90.019%29 Jul →
anubis13–16-0.048%28 Jul →
nuke0–13-0.099%28 Jul →
cache13–70.0010%28 Jul →
ancient9–13-0.017%28 Jul →
ancient13–11-0.018%28 Jul →
inferno13–6-0.0113%28 Jul →
anubis7–13-0.042%28 Jul →
ancient13–9-0.0112%27 Jul →
dust213–70.0011%27 Jul →
inferno15–150.0012%27 Jul →
dust213–10-0.066%27 Jul →
cache13–5-0.0513%27 Jul →
dust210–13-0.0411%26 Jul →
inferno5–13-0.0512%26 Jul →
nuke13–5-0.028%25 Jul →
nuke10–13-0.063%25 Jul →

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 →

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