Michael Olise

Michael Olise — CS2 Stats

CN76561198129120826[U:1:168855098]Steam profile ↗✓ No bans

1,915Tracked matches43%Win rate2020Tracked since
2,471Hours in CS7Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating24,190Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#4255 of 22646 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.8%47.2%49.9%6.1% short
Shot accuracy13.5%12.7%13.4%meets
Kill/death ratio0.981.091.120.14 short
Match win rate46.3%46.6%48.4%2.2% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMichael OlisePREMIER24,190 · Pink bandcsdb.gg/stats

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Performance scores

Aim42
Positioning55
Utility51

0–100 skill scores via Leetify.

Recent form

COLD53452Last 10053%Win rateLLWWLLLLLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim4.2
Aggression5.7
Utility5.1
Positioning5.5
Opening Duels1.7
Clutch3.0

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

Reaction time. 582ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim4.2
Positioning5.5
Utility5.1
Mechanics2.8
Opening Duels1.7
Win Impact2.8

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time578ms−29ms
first ⅓ avg 607ms → last ⅓ avg 578ms
Headshot accuracy15.3%−4.0%
first ⅓ avg 19.3% → last ⅓ avg 15.3%

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.

Highlights

0.14Best rating — office 8–13
131Biggest win — nuke
8Longest win streak
L2Current streak
118In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 86% over 7dust2Weakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
ancientB22111150%-0.02
dust2C1771041%-0.04
anubisA159660%-0.01
nukeA148657%0.01
infernoB105550%-0.01
overpassS76186%-0.02
cacheS64267%0.00
vertigo31233%-0.02
office21150%0.12
mirage21150%-0.03
train2020%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,076Lifetime kills
0.98K/D
4,637Matches
46.3%Match win rate
43.8%Headshot %
13.5%Shot accuracy · Top 50% of Pink band
7,382MVPs
1,652Hours (in match)
3,973Bombs planted
830Bombs defused

Most-used weapons

AK-4720,765
AWP8,586
Knife1,385
MP91,356
SG 5531,247

Lifetime map wins

7,968inferno
5,661dust2
2,910nuke
2,367vertigo
1,427train
84office
47bank
23assault

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

Faceit stats

Combat

1,118Matches
50%Win rate
1.04Avg K/D
74.8ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient6445%0.9614.4
Anubis5760%0.9814.9
Inferno5242%1.0514.2
Nuke3557%1.1015.1
Mirage2259%0.9212.6
Vertigo2143%0.8815.3
Overpass2055%1.0314.9
Dust21040%0.8511.6

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.

14.9%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.0%Spray accuracy
62.4%Counter-strafing
10.6°Preaim
582msReaction time
31.6%T opening success
41.8%CT opening success
0.61Enemies flashed / flash
6.6%Flash assists
8.63HE damage / grenade
6.79Flashes / 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. 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 14.8913% — 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 31.6309% — 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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0212%20 Aug
dust23–13-0.0417%19 Aug
inferno13–30.0119%19 Aug
dust213–10-0.0516%19 Aug
nuke9–13-0.0417%12 Aug
dust29–13-0.0314%11 Aug
dust27–13-0.0025%6 Aug
nuke9–13-0.0315%5 Aug
dust23–13-0.0615%4 Aug
ancient13–20.0235%4 Aug
nuke11–130.0130%4 Aug
ancient9–13-0.1016%4 Aug
anubis13–9-0.018%2 Aug
nuke9–130.0228%31 Jul
vertigo6–13-0.0516%29 Jul
anubis11–130.0318%24 Jul
dust213–6-0.078%22 Jul
nuke11–13-0.0422%22 Jul
anubis13–9-0.0211%22 Jul
dust216–12-0.0510%21 Jul
nuke16–14-0.059%21 Jul
cache13–11-0.0012%21 Jul
ancient13–11-0.048%16 Jul
inferno13–40.0218%16 Jul
ancient4–13-0.0410%10 Jul
anubis13–20.0611%10 Jul
inferno13–16-0.028%10 Jul
cache13–9-0.038%10 Jul
office8–130.1414%9 Jul
ancient13–16-0.059%1 Jul
nuke13–60.0014%1 Jul
dust213–10-0.077%1 Jul
overpass13–4-0.0223%30 Jun
ancient13–100.0521%30 Jun
dust25–13-0.109%30 Jun
inferno28–26-0.0213%18 Jun
nuke13–90.0422%11 Jun
ancient13–40.056%11 Jun
inferno13–5-0.0415%11 Jun
ancient14–160.0019%5 Jun
inferno8–13-0.0510%5 Jun
ancient3–13-0.0823%5 Jun
ancient13–10-0.068%4 Jun
ancient13–16-0.0415%29 May
cache13–80.0416%29 May
ancient5–13-0.0112%26 May
inferno5–13-0.0521%26 May
ancient13–10-0.0123%26 May
anubis7–13-0.0518%26 May
nuke9–13-0.0218%22 May
anubis13–9-0.036%21 May
ancient13–7-0.0422%21 May
ancient13–11-0.038%14 May
anubis13–11-0.0914%13 May
nuke13–10.0816%7 May
anubis11–130.0113%7 May
cache14–16-0.0215%7 May
dust213–6-0.0624%5 May
nuke13–80.0322%5 May
anubis13–80.0414%5 May
inferno8–130.0117%5 May
anubis7–13-0.0425%30 Apr
dust25–13-0.090%30 Apr
dust213–70.0015%30 Apr
ancient7–130.0121%28 Apr
dust25–13-0.0226%28 Apr
vertigo3–13-0.0428%28 Apr
overpass13–80.0113%28 Apr
nuke13–50.0711%28 Apr
dust28–13-0.0815%28 Apr
anubis13–11-0.0114%23 Apr
cache13–110.0124%23 Apr
cache10–13-0.0032%23 Apr
nuke13–70.0121%23 Apr
ancient9–130.0921%23 Apr
overpass13–7-0.0215%21 Apr
ancient13–50.0612%21 Apr
dust210–13-0.0130%21 Apr
mirage10–13-0.0524%15 Apr
inferno13–70.0721%15 Apr
vertigo13–60.0419%13 Apr
nuke13–100.0118%8 Apr
anubis12–12-0.0118%7 Apr
anubis12–120.1021%6 Apr
dust213–90.0012%2 Apr
ancient13–11-0.0313%26 Mar
ancient8–13-0.0426%19 Mar
office13–60.0925%19 Mar
ancient13–11-0.0421%14 Mar
anubis13–11-0.018%14 Mar
overpass13–4-0.0816%14 Mar
overpass13–40.0116%12 Mar
overpass13–60.0023%12 Mar
anubis13–10-0.0510%15 Jan
mirage13–9-0.0123%13 Jan
train7–13-0.0024%6 Jan
ancient10–13-0.0419%17 Dec
overpass13–16-0.0346%17 Dec
train11–130.0217%17 Dec
inferno10–13-0.0410%11 Dec

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 →