migeeL

migeeL — CS2 Stats

76561198024874098[U:1:64608370]Steam profile ↗✓ No bans

1,528Tracked matches59%Win rate2020Tracked since
CSDB Rating8.0 StrongPositional Player
Premier CS Rating25,923Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#14114 of 260013 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (10 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: 25,923 +2,528 7 Jan – 26 Oct · 15 days played
23,39526,383peak 26,3837 Jan26 Oct
Faceit ELO: 2,105 +0 12 Sept – 23 Sept · 2 observations
2,1052,105peak 2,10512 Sept23 Sept
26,607Peak Premier in tracked matches
2,105Highest Faceit ELO seen on CSDB
37Days played since 2026-01-07

Faceit ELO

  • At peak — 2,105
  • Next: 2,500 ELO at 2,500 — 395 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-12
  • Level 9 first seen 2026-09-12

Premier CS Rating

  • 460 below peak (26,383)
  • +1,476 over 30 days · improving
  • Next: Gold band at 30,000 — 4,077 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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.

Share this profile

CSDB.GGmigeeLPREMIER25,923 · Red bandPEAK ELO2,105csdb.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

Aim82
Positioning83
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY58–37–5Last 10058%Win rateWLWWLLLLWW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.3pp headshot accuracy · +70ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 581ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 512ms

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 (+2.3 against its own average).

Aim8.2
Utility5.8
Positioning8.3
Opening Duels5.3
Clutch4.6

Strong positioning

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 74% on T to 58% on CT — first contacts on the defending side are being lost.

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

Aim8.2
Positioning8.3
Utility5.8
Mechanics6.9
Opening Duels8.5
Win Impact7.9

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time518ms−90ms
first ⅓ avg 608ms → last ⅓ avg 518ms
Headshot accuracy19.1%−1.2%
first ⅓ avg 20.4% → last ⅓ avg 19.1%

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.

Personal bests

0.14Best match rating · 13–8 · cache, 19 Oct →
37%Best headshot accuracy · 9–13 · inferno, 27 Aug →
367msFastest reaction time · 13–9 · inferno, 26 Sept →
13–3Biggest win · train, 9 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak
9–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 100% over 7anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageS1813–572%0.02
dust2A1811–761%0.03
ancientA1810–856%0.03
infernoB158–753%0.02
nukeD123–925%-0.01
cacheS77–0100%0.06
anubisD51–420%0.02
overpass—33–0100%0.06
train—22–0100%0.01
alpine—10–10%-0.05
rooftop—10–10%-0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,242Matches
51%Win rate
1.25Avg K/D
89.9ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage6545%1.1917.9
Ancient5853%1.2116.8
Anubis5258%1.2818.6
Dust24544%1.3021.1
Inferno4156%1.2616.2
Nuke3647%1.1817.4
Vertigo1040%0.9514.7
Overpass933%1.0516.9

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.

19.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.6%Spray accuracy
80.9%Counter-strafing
8.2°Preaim
510msReaction time
74.0%T opening success
57.9%CT opening success
0.66Enemies flashed / flash
7.4%Flash assists
8.80HE damage / grenade
9.30Flashes / match

Recommended for you

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–00.0711%3 Nov →
nuke5–13-0.0220%3 Nov →
dust213–70.0415%26 Oct →
ancient13–70.0113%26 Oct →
mirage11–13-0.0618%26 Oct →
ancient1–13-0.0821%23 Oct →
inferno11–130.0118%23 Oct →
dust27–13-0.0223%23 Oct →
ancient13–100.0324%23 Oct →
anubis13–90.0013%23 Oct →
ancient13–8-0.0116%23 Oct →
mirage13–110.0117%21 Oct →
mirage13–110.0222%21 Oct →
cache13–40.0530%20 Oct →
nuke2–13-0.0818%20 Oct →
ancient13–100.0521%20 Oct →
cache13–80.1415%19 Oct →
inferno16–140.0218%19 Oct →
ancient10–130.0121%17 Oct →
inferno13–90.0422%17 Oct →
nuke14–16-0.0021%17 Oct →
mirage13–5-0.0117%16 Oct →
inferno6–13-0.1025%16 Oct →
anubis11–130.0020%16 Oct →
inferno11–13-0.0218%16 Oct →
dust213–70.0321%9 Oct →
ancient5–130.0930%9 Oct →
mirage15–15-0.0112%9 Oct →
nuke16–130.0914%26 Sept →
inferno13–90.0518%26 Sept →
cache13–40.0923%25 Sept →
mirage13–9-0.0115%25 Sept →
dust28–130.0122%25 Sept →
ancient13–90.0214%25 Sept →
ancient14–160.0729%16 Sept →
inferno13–11-0.0223%16 Sept →
anubis9–130.0421%14 Sept →
nuke11–13-0.0130%14 Sept →
ancient13–60.0217%9 Sept →
dust28–130.0630%7 Sept →
nuke11–130.0617%7 Sept →
dust213–60.0523%5 Sept →
ancient13–100.0625%1 Sept →
mirage13–70.0016%1 Sept →
dust213–80.0433%1 Sept →
nuke13–110.0222%1 Sept →
inferno9–130.0537%27 Aug →
mirage13–90.0119%3 Aug →
nuke13–80.0115%3 Aug →
anubis10–130.0122%21 Jul →
inferno4–130.0124%21 Jul →
mirage13–90.0426%21 Jul →
cache13–60.0826%16 Jul →
nuke7–13-0.069%15 Jul →
dust23–13-0.0825%15 Jul →
nuke6–13-0.0318%14 Jul →
inferno13–11-0.0318%14 Jul →
mirage13–6-0.0023%14 Jul →
inferno13–40.1127%13 Jul →
cache13–50.0316%12 Jul →
ancient11–130.0120%12 Jul →
mirage7–130.0224%12 Jul →
dust213–70.1123%12 Jul →
inferno7–130.0119%10 Jul →
dust213–7-0.0623%10 Jul →
ancient9–13-0.0310%10 Jul →
cache13–8-0.0133%10 Jul →
mirage8–70.0524%10 Jul →
cache13–80.0530%3 Jul →
overpass13–90.0323%3 Jul →
mirage13–60.0515%3 Jul →
dust212–120.0215%3 Jul →
alpine3–13-0.0515%3 Jul →
ancient13–90.0513%2 Feb →
inferno13–7-0.0115%30 Jan →
dust210–130.0815%30 Jan →
ancient6–13-0.0025%30 Jan →
mirage8–13-0.0020%23 Jan →
dust213–110.1023%23 Jan →
nuke10–130.0226%16 Jan →
ancient13–60.0520%16 Jan →
dust213–11-0.0119%16 Jan →
anubis12–120.0624%14 Jan →
mirage16–120.0515%13 Jan →
ancient11–130.0513%13 Jan →
nuke3–9-0.0622%13 Jan →
overpass9–60.0816%13 Jan →
inferno9–40.1131%13 Jan →
rooftop2–9-0.1319%13 Jan →
inferno15–150.0415%10 Jan →
train13–100.0419%10 Jan →
dust213–110.0219%10 Jan →
overpass13–100.0819%10 Jan →
dust213–80.0433%9 Jan →
ancient13–90.0714%9 Jan →
mirage13–100.0021%9 Jan →
train13–3-0.0127%9 Jan →
dust213–80.0631%8 Jan →
mirage13–100.0819%8 Jan →
dust215–150.0519%7 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.