high im mikey

high im mikey — CS2 Stats

76561198197453789[U:1:237188061]Steam profile ↗✓ No bans

749Tracked matches37%Win rate2020Tracked since
4,441Hours in CS39Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,899 +1,855 21 Nov – 23 Nov · 3 days played
13,04414,899peak 14,89921 Nov23 Nov
14,999Peak Premier in tracked matches
23Days played since 2025-11-19

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.7%43.7%44.8%3.1% short
Shot accuracy17.0%12.0%12.4%above
Kill/death ratio1.041.021.03meets
Match win rate44.6%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhigh im mikeyFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning63
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLWWWWLLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · −69ms reaction

Win rate +10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 613ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 584ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

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 (+1.1 against its own average).

Aim5.9
Utility4.0
Positioning6.3
Opening Duels4.9
Clutch5.6

Strong T-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

s1mple

Plays most like s1mple 83% 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 616ms 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

Aim5.9
Positioning6.3
Utility4.0
Mechanics5.8
Opening Duels6.0
Win Impact0.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time623ms−48ms
first ⅓ avg 671ms → last ⅓ avg 623ms
Headshot accuracy15.5%−8.5%
first ⅓ avg 24.0% → last ⅓ avg 15.5%

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

0.13Best match rating · 13–5 · mirage, 25 Sept →
100%Best headshot accuracy · 4–7 · mirage, 23 Aug →
430msFastest reaction time · 13–4 · cache, 4 Oct →
13–2Biggest win · office, 30 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 67% over 9nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
officeA1610–663%-0.00
dust2C156–940%-0.01
ancientC125–742%-0.02
cacheB105–550%-0.00
italyA106–460%0.02
mirageS96–367%0.02
nukeC83–538%0.01
anubisC73–443%0.00
inferno—42–250%-0.00
vertigo—33–0100%-0.01
overpass—32–167%0.01
train—20–20%0.00
warden—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,922Lifetime kills
1.04K/D · Top 50% of Level 5 players
5,466Matches
44.6%Match win rate
41.7%Headshot %
17.0%Shot accuracy · Top 25% of Level 5 players
16,257MVPs
2,812Hours (in match)
4,453Bombs planted
1,842Bombs defused

Most-used weapons

AK-4742,342
AWP20,058
Knife4,007
P2503,686
SCAR-203,229

Lifetime map wins

9,262inferno
7,388dust2
5,289train
3,232nuke
1,639cbble
1,077vertigo
842office
442italy

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

Faceit stats

Combat

1,525Matches
50%Win rate
1.07Avg K/D
78.1ADR
43%Headshot %

Clutches & streaks

48%1v1 clutch win
33%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21136%0.7912.6
Ancient825%1.0015.8
Cache757%1.1016.9
Anubis633%0.9916.2
Mirage540%0.7813.0
Nuke450%1.1219.5
Inferno3100%1.6221.3
Vertigo1100%0.8916.0

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.

15.2%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.5%Spray accuracy
76.1%Counter-strafing
8.2°Preaim
616msReaction time
68.9%T opening success
39.0%CT opening success
0.46Enemies flashed / flash
3.4%Flash assists
7.47HE damage / grenade
6.07Flashes / 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 0.4629 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.0146% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–50.0519%14 Oct →
mirage6–130.0311%14 Oct →
dust213–10-0.0013%14 Oct →
dust213–80.0117%13 Oct →
cache13–80.0016%13 Oct →
nuke13–100.0921%13 Oct →
dust27–13-0.0314%13 Oct →
cache11–13-0.0113%13 Oct →
anubis8–130.036%13 Oct →
anubis6–13-0.0136%11 Oct →
dust213–50.0124%11 Oct →
dust24–13-0.0716%11 Oct →
cache8–13-0.0112%11 Oct →
ancient13–80.0013%11 Oct →
anubis10–130.1118%11 Oct →
ancient9–13-0.0813%11 Oct →
anubis16–12-0.0513%11 Oct →
anubis13–90.0010%11 Oct →
ancient10–130.0321%11 Oct →
italy7–130.0716%10 Oct →
vertigo13–11-0.024%10 Oct →
office5–13-0.0812%10 Oct →
nuke11–13-0.0017%10 Oct →
dust24–130.0519%10 Oct →
anubis13–16-0.0420%10 Oct →
ancient14–160.0213%10 Oct →
cache16–140.0413%10 Oct →
dust210–13-0.0418%9 Oct →
overpass9–6-0.0213%9 Oct →
cache8–13-0.0417%9 Oct →
mirage11–13-0.057%9 Oct →
inferno16–14-0.0015%9 Oct →
dust213–11-0.0420%7 Oct →
ancient10–13-0.0315%7 Oct →
vertigo13–100.0111%7 Oct →
mirage13–50.0715%5 Oct →
italy8–00.0523%5 Oct →
italy5–130.0517%4 Oct →
ancient11–130.0341%4 Oct →
cache11–13-0.038%4 Oct →
cache13–4-0.019%4 Oct →
dust213–30.0225%4 Oct →
dust27–130.0112%3 Oct →
dust26–13-0.0413%3 Oct →
nuke6–13-0.027%3 Oct →
ancient13–9-0.0112%3 Oct →
dust25–13-0.0419%3 Oct →
italy13–90.0515%3 Oct →
cache13–10-0.0112%3 Oct →
dust29–13-0.0826%3 Oct →
train12–12-0.0122%3 Oct →
nuke13–100.0421%3 Oct →
dust24–130.1019%27 Sept →
nuke2–130.0114%27 Sept →
cache6–13-0.0115%27 Sept →
train9–130.0116%27 Sept →
office13–5-0.076%26 Sept →
mirage13–40.0119%26 Sept →
inferno11–130.0110%26 Sept →
nuke13–160.018%26 Sept →
nuke8–13-0.0518%26 Sept →
ancient13–5-0.0324%26 Sept →
mirage13–70.0316%26 Sept →
inferno12–12-0.0616%26 Sept →
italy9–130.0921%26 Sept →
vertigo13–4-0.019%25 Sept →
anubis13–9-0.0211%25 Sept →
mirage13–50.0713%25 Sept →
mirage13–50.1320%25 Sept →
mirage4–7-0.05100%23 Aug →
overpass10–130.000%8 Jul →
warden6–13-0.0621%2 Feb →
office13–30.0132%2 Feb →
office13–100.1021%1 Jan →
office8–13-0.0224%30 Nov →
office13–2-0.0617%30 Nov →
office11–13-0.0514%30 Nov →
office11–13-0.0416%30 Nov →
ancient11–13-0.0420%29 Nov →
office13–60.0231%29 Nov →
ancient13–110.0128%29 Nov →
dust210–40.0324%29 Nov →
italy13–8-0.0610%29 Nov →
ancient6–13-0.079%23 Nov →
overpass13–80.0614%23 Nov →
nuke13–60.0519%23 Nov →
inferno9–50.0440%23 Nov →
office11–130.0425%22 Nov →
ancient13–7-0.0529%22 Nov →
mirage16–14-0.0329%21 Nov →
office13–9-0.0020%20 Nov →
office5–13-0.0736%19 Nov →
office13–30.0824%19 Nov →
office13–90.0432%19 Nov →
office13–80.0618%19 Nov →
office13–8-0.0415%19 Nov →
italy10–13-0.0331%19 Nov →
italy8–5-0.0412%19 Nov →
italy13–4-0.0124%19 Nov →
italy13–4-0.0121%19 Nov →

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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