mojomikey

mojomikey — CS2 Stats

76561198393278785[U:1:433013057]Steam profile ↗✓ No bans

328Tracked matches29%Win rate2020Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating5,480Light Blue band · top ~76.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+247Premier CS Rating · 5,233 → 5,480

Rating over time

Premier CS Rating: 5,480 -2,243 25 Jul – 16 Oct · 39 days played
5,2338,715peak 8,71525 Jul16 Oct
8,728Peak Premier in tracked matches
44Days played since 2026-07-23

Premier CS Rating

  • 3,235 below peak (8,715)
  • -862 over 30 days · declining
  • -2,243 over 90 days
  • Next: Blue band at 10,000 — 4,520 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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

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CSDB.GGmojomikeyPREMIER5,480 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim26
Positioning55
Utility55

0–100 skill scores via Leetify.

Recent form

COLD39–55–6Last 10039%Win rateLWWLLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +5.1pp headshot accuracy · +15ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 653ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 688ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 681ms

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 (+1.7 against its own average).

Aim2.6
Utility5.5
Positioning5.5
Opening Duels0.3

Effective flashes

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 54% 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

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 665ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim2.6
Positioning5.5
Utility5.5
Mechanics3.2
Opening Duels1.5
Win Impact0.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time663ms−21ms
first ⅓ avg 684ms → last ⅓ avg 663ms
Headshot accuracy12.5%−0.3%
first ⅓ avg 12.9% → last ⅓ avg 12.5%

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

0.12Best match rating · 13–9 · ancient, 28 Jul →
40%Best headshot accuracy · 2–13 · train, 14 Aug →
484msFastest reaction time · 13–10 · ancient, 26 Aug →
13–1Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 58% over 12cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC229–1341%0.00
mirageD175–1229%-0.01
ancientA169–756%-0.00
anubisC135–838%-0.02
infernoA127–558%-0.02
dust2D113–827%-0.01
cacheD81–713%0.02
train—10–10%-0.05

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy
29.1%Accuracy (enemy spotted)
29.6%Spray accuracy
64.5%Counter-strafing
10.9°Preaim
665msReaction time
41.9%T opening success
30.4%CT opening success
0.82Enemies flashed / flash
7.7%Flash assists
10.38HE damage / grenade
7.51Flashes / 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 12.2719% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 30.3996% — below the 40% mark we flag

Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0111%16 Oct →
ancient13–10-0.048%16 Oct →
mirage13–60.0520%16 Oct →
dust23–130.0024%13 Oct →
dust211–13-0.0319%13 Oct →
anubis10–13-0.0620%11 Oct →
dust23–13-0.0216%7 Oct →
nuke11–13-0.018%7 Oct →
dust27–13-0.0423%4 Oct →
inferno2–13-0.114%3 Oct →
ancient7–13-0.016%3 Oct →
dust26–13-0.0712%3 Oct →
cache16–130.037%28 Sept →
ancient13–11-0.058%28 Sept →
inferno8–130.0110%28 Sept →
nuke11–13-0.0213%26 Sept →
ancient13–80.006%26 Sept →
cache4–130.0114%26 Sept →
nuke8–130.0215%22 Sept →
anubis9–13-0.0310%22 Sept →
dust215–15-0.047%17 Sept →
inferno13–10-0.0813%15 Sept →
mirage2–13-0.075%15 Sept →
inferno5–13-0.0711%14 Sept →
mirage10–13-0.0219%14 Sept →
inferno16–120.0114%13 Sept →
ancient13–30.0517%13 Sept →
dust28–13-0.028%9 Sept →
anubis15–150.0013%9 Sept →
mirage5–13-0.0411%8 Sept →
dust213–9-0.0110%7 Sept →
nuke3–13-0.1026%4 Sept →
nuke12–160.006%4 Sept →
nuke13–10.0713%4 Sept →
dust213–70.0221%2 Sept →
inferno13–8-0.018%2 Sept →
nuke13–100.007%2 Sept →
ancient8–13-0.0711%1 Sept →
cache8–130.0212%30 Aug →
mirage8–130.019%30 Aug →
ancient13–100.049%28 Aug →
anubis2–13-0.054%28 Aug →
nuke11–130.0612%28 Aug →
cache9–130.0823%27 Aug →
mirage3–130.035%27 Aug →
nuke13–50.086%26 Aug →
ancient13–10-0.0414%26 Aug →
mirage13–50.018%25 Aug →
ancient5–13-0.073%25 Aug →
nuke13–11-0.085%25 Aug →
anubis16–130.0011%24 Aug →
nuke5–130.0112%24 Aug →
cache15–150.009%22 Aug →
anubis13–70.0410%22 Aug →
mirage13–8-0.026%22 Aug →
mirage10–13-0.0512%19 Aug →
nuke13–10-0.0714%18 Aug →
ancient11–130.0619%18 Aug →
anubis11–13-0.0212%17 Aug →
mirage3–13-0.0013%17 Aug →
dust213–20.0619%17 Aug →
cache11–130.0123%17 Aug →
ancient13–5-0.032%16 Aug →
anubis7–130.0119%16 Aug →
nuke3–13-0.124%16 Aug →
train2–13-0.0540%14 Aug →
dust25–130.0012%14 Aug →
mirage13–8-0.0414%13 Aug →
inferno15–15-0.0211%12 Aug →
anubis5–13-0.130%12 Aug →
ancient7–13-0.0118%12 Aug →
inferno13–10-0.0312%11 Aug →
ancient13–70.0411%11 Aug →
mirage13–16-0.0313%8 Aug →
inferno15–150.0222%7 Aug →
nuke3–10-0.039%7 Aug →
nuke13–3-0.0310%7 Aug →
nuke14–160.0212%7 Aug →
ancient14–160.0213%7 Aug →
mirage4–13-0.0118%5 Aug →
anubis13–8-0.057%5 Aug →
nuke5–130.0011%5 Aug →
inferno13–9-0.027%30 Jul →
ancient13–16-0.067%29 Jul →
nuke13–100.0316%29 Jul →
anubis5–13-0.0110%29 Jul →
inferno13–110.0020%28 Jul →
ancient13–90.1221%28 Jul →
anubis13–100.1011%28 Jul →
nuke10–13-0.0212%28 Jul →
cache8–130.0219%28 Jul →
mirage7–130.0321%26 Jul →
inferno13–90.0211%25 Jul →
mirage9–13-0.039%25 Jul →
nuke15–150.0914%25 Jul →
nuke13–70.0815%25 Jul →
mirage13–1-0.056%24 Jul →
nuke13–90.0218%24 Jul →
cache3–13-0.0122%24 Jul →
anubis13–10-0.064%23 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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