Mike Ehrmantraut

Mike Ehrmantraut — CS2 Stats

LB76561198211526243[U:1:251260515]Steam profile ↗✓ No bans

628Tracked matches41%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating12,516Blue band · top ~41.6% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 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: 12,516 -2,717 17 Feb – 7 Nov · 36 days played
7,18815,556peak 15,55617 Feb7 Nov
15,863Peak Premier in tracked matches
59Days played since 2024-02-17

Premier CS Rating

  • 3,040 below peak (15,556)
  • Next: Purple band at 15,000 — 2,484 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.

Share this profile

CSDB.GGMike EhrmantrautFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER12,516 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning53
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateWTWLWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −7.5pp headshot accuracy · −171ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 506ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 538ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 623ms

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 (+1.5 against its own average).

Aim8.0
Utility2.2
Positioning5.3
Opening Duels3.9

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

donk

Plays most like donk 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 672ms 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

Aim8.0
Positioning5.3
Utility2.2
Mechanics8.2
Opening Duels3.9
Win Impact2.1

Composite 5.3/10 (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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time671ms+50ms
first ⅓ avg 621ms → last ⅓ avg 671ms
Headshot accuracy30.3%+5.6%
first ⅓ avg 24.7% → last ⅓ avg 30.3%

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 · 9–0 · inferno, 30 Oct →
61%Best headshot accuracy · 13–9 · mirage, 11 Sept →
391msFastest reaction time · 9–0 · inferno, 30 Oct →
13–3Biggest win · ancient, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–2In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 50% over 14overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%0.01
anubisC167–944%0.01
infernoB147–750%0.03
ancientB105–550%0.02
vertigoC104–640%0.01
dust2C73–443%0.01
nukeD62–433%-0.01
overpassD51–420%-0.02
cache—21–150%0.01
office—21–150%0.02
train—10–10%-0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

270Matches
51%Win rate
1.07Avg K/D
—ADR
56%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2839%0.9916.7
Vertigo2638%0.9516.1
Ancient1662%0.8813.3
Anubis1547%0.9414.7
Inferno1164%1.4118.0
Nuke450%0.9114.8
Overpass367%0.6813.0

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.

30.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.3%Spray accuracy
87.1%Counter-strafing
10.3°Preaim
672msReaction time
39.2%T opening success
52.0%CT opening success
0.48Enemies flashed / flash
3.2%Flash assists
6.57HE damage / grenade
5.37Flashes / 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 0.4842 — 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 39.2092% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–120.1228%7 Nov →
mirage12–12-0.0115%6 Nov →
ancient13–100.0722%3 Nov →
nuke3–13-0.0230%3 Nov →
inferno9–00.1421%30 Oct →
mirage4–13-0.0635%23 Oct →
dust27–13-0.0229%22 Oct →
cache9–13-0.0520%21 Oct →
anubis13–50.0525%19 Oct →
anubis13–40.0526%2 Sept →
dust23–130.0122%19 Jul →
cache16–140.0730%19 Jul →
ancient13–30.0437%16 Oct →
inferno4–13-0.0126%12 Oct →
nuke14–16-0.0418%5 Oct →
nuke7–130.0248%12 Sept →
mirage13–9-0.0361%11 Sept →
dust213–70.0441%11 Aug →
mirage13–7-0.0317%6 Aug →
mirage13–160.0526%4 Aug →
nuke5–13-0.0427%4 Aug →
overpass5–13-0.0623%2 Aug →
train3–13-0.0527%1 Aug →
overpass7–130.0443%31 Jul →
dust28–130.0528%31 Jul →
mirage9–130.1247%31 Jul →
dust213–11-0.0137%31 Jul →
mirage7–130.0542%29 Jul →
nuke13–70.0537%29 Jul →
dust26–13-0.0531%28 Jul →
mirage9–13-0.0128%14 Aug →
ancient10–13-0.0333%9 May →
ancient13–60.0421%9 May →
dust213–40.0333%9 May →
vertigo8–13-0.0113%24 Apr →
vertigo6–13-0.0916%21 Apr →
nuke13–6-0.0124%12 Apr →
ancient15–150.1230%8 Apr →
anubis7–13-0.0332%2 Apr →
office13–80.1230%30 Mar →
inferno8–130.0937%28 Mar →
mirage10–130.0539%28 Mar →
inferno13–11-0.0026%24 Mar →
office3–13-0.0916%23 Mar →
ancient12–160.0318%23 Mar →
mirage8–13-0.0335%22 Mar →
vertigo13–160.0237%22 Mar →
mirage13–70.0738%21 Mar →
inferno13–100.0138%20 Mar →
inferno13–6-0.0134%19 Mar →
vertigo13–60.0217%19 Mar →
vertigo7–130.0532%19 Mar →
anubis13–50.1118%16 Mar →
inferno8–13-0.0450%15 Mar →
anubis7–13-0.0539%15 Mar →
inferno10–13-0.0131%14 Mar →
ancient13–80.0532%14 Mar →
mirage13–70.0637%13 Mar →
overpass10–13-0.0513%10 Mar →
anubis16–13-0.0421%10 Mar →
mirage13–100.0425%9 Mar →
mirage7–130.0426%9 Mar →
anubis13–60.0028%9 Mar →
mirage13–70.0215%9 Mar →
vertigo13–9-0.0124%9 Mar →
overpass16–130.0431%8 Mar →
mirage8–13-0.0339%7 Mar →
ancient9–13-0.0430%4 Mar →
inferno9–130.0122%3 Mar →
ancient16–13-0.0531%2 Mar →
anubis13–60.0130%1 Mar →
mirage13–70.1228%1 Mar →
anubis9–130.0412%1 Mar →
anubis4–120.0532%1 Mar →
anubis3–130.0024%29 Feb →
mirage7–13-0.0220%29 Feb →
vertigo13–90.0216%29 Feb →
mirage7–13-0.0327%29 Feb →
ancient15–15-0.0121%29 Feb →
anubis15–150.0431%25 Feb →
inferno13–110.0825%24 Feb →
anubis10–13-0.0326%22 Feb →
mirage3–13-0.0628%22 Feb →
anubis10–13-0.0337%21 Feb →
inferno9–130.0438%20 Feb →
anubis13–5-0.0533%20 Feb →
mirage15–15-0.0419%20 Feb →
mirage5–130.0825%20 Feb →
mirage10–13-0.0421%20 Feb →
overpass5–13-0.0821%19 Feb →
vertigo9–130.0029%19 Feb →
vertigo13–70.0522%19 Feb →
mirage16–14-0.0315%18 Feb →
inferno13–60.0029%18 Feb →
vertigo11–130.0417%18 Feb →
mirage13–7-0.0221%18 Feb →
inferno5–13-0.0525%18 Feb →
mirage16–120.0713%18 Feb →
mirage13–110.0635%17 Feb →
anubis10–13-0.0113%17 Feb →

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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