baby mikey #authenticjiggle

baby mikey #authenticjiggle — CS2 Stats

TO76561198035099213[U:1:74833485]Steam profile ↗✓ No bans

947Tracked matches46%Win rate2023Tracked since
1,588Hours in CS9Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating13,113Blue band · top ~38.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (2 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: 13,113 -1,886 31 Jul – 17 Oct · 37 days played
12,68316,395peak 16,39531 Jul17 Oct
16,395Peak Premier in tracked matches
43Days played since 2026-07-30

Premier CS Rating

  • 3,282 below peak (16,395)
  • -1,783 over 30 days · declining
  • -1,886 over 90 days
  • Next: Purple band at 15,000 — 1,887 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches73——
Win rate52%——
K/D0.99——
Headshot %59%——

Measured 22 Sep 2026 → 19 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate44.9%42.0%44.3%meets
Shot accuracy6.5%9.6%11.9%5.4% short
Kill/death ratio0.960.981.030.08 short
Match win rate29.1%43.8%45.2%16.1% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbaby mikey #authenticjigg…PREMIER13,113 · Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

COLD44–49–7Last 10044%Win rateLTWLLLWLLL

Last 10 vs previous 10: −50pp win rate · +0.03 avg rating · −6.7pp headshot accuracy · +19ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 542ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 533ms

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 against its own average).

Aim4.3
Utility5.0
Positioning5.6
Opening Duels4.3
Clutch3.6

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

jL

Plays most like jL 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Counter-strafing. Only 63% 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

Aim4.3
Positioning5.6
Utility5.0
Mechanics2.8
Opening Duels4.8
Win Impact3.8

Composite 4.2/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time558ms−5ms
first ⅓ avg 564ms → last ⅓ avg 558ms
Headshot accuracy18.1%+2.4%
first ⅓ avg 15.7% → last ⅓ avg 18.1%

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

0.11Best match rating · 9–13 · train, 13 Oct →
43%Best headshot accuracy · 4–0 · rush_001, 1 Oct →
406msFastest reaction time · 15–15 · anubis, 17 Oct →
13–1Biggest win · vertigo, 2 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 69% over 16mirageWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC207–1335%-0.02
cacheC177–1041%-0.01
anubisS1611–569%-0.01
mirageD101–910%-0.01
ancientD92–722%-0.02
dust2C94–544%-0.01
infernoS64–267%-0.02
vertigo—43–175%-0.01
overpass—42–250%-0.02
train—32–167%0.05
rush_001—11–0100%0.05
office—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (10% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,374Lifetime kills
0.96K/D
3,397Matches
29.1%Match win rate
44.9%Headshot % · Top 50% of Blue band
6.5%Shot accuracy
3,015MVPs
785Hours (in match)
985Bombs planted
484Bombs defused

Most-used weapons

AK-4711,842
AWP4,386
SSG 082,052
MP71,535
Nova1,202

Lifetime map wins

2,364nuke
1,964dust2
1,561inferno
1,175vertigo
314train
162office
154ar_shoots
117ar_baggage

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

Faceit stats

Combat

8Matches
50%Win rate
0.94Avg K/D
93.9ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.5210.0
Inferno250%1.5427.0
Nuke10%0.213.0
Ancient1100%1.0011.0
Dust21100%1.6720.0

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.

17.3%Headshot accuracy
30.6%Accuracy (enemy spotted)
31.2%Spray accuracy
62.8%Counter-strafing
11.3°Preaim
550msReaction time
53.0%T opening success
45.7%CT opening success
0.53Enemies flashed / flash
8.1%Flash assists
9.52HE damage / grenade
5.30Flashes / match

Recommended for you

Spend your practice time on Mirage

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–130.0221%18 Oct →
anubis15–15-0.039%17 Oct →
anubis13–110.0113%15 Oct →
train9–130.1118%13 Oct →
mirage7–13-0.018%13 Oct →
cache5–130.0312%7 Oct →
cache13–100.0312%6 Oct →
ancient10–130.0518%3 Oct →
anubis8–130.0222%3 Oct →
cache6–13-0.0020%3 Oct →
anubis13–100.0011%2 Oct →
inferno13–9-0.0920%2 Oct →
vertigo13–10.0318%2 Oct →
rush_0014–00.0543%1 Oct →
ancient15–15-0.0220%30 Sept →
nuke13–80.0322%30 Sept →
dust28–13-0.0127%30 Sept →
mirage5–13-0.0316%29 Sept →
nuke13–2-0.0224%29 Sept →
anubis13–100.0218%29 Sept →
cache8–130.0120%29 Sept →
overpass13–60.0118%25 Sept →
anubis13–5-0.016%25 Sept →
train13–80.0413%25 Sept →
vertigo13–11-0.0733%25 Sept →
mirage7–13-0.0611%25 Sept →
cache16–13-0.0123%22 Sept →
nuke9–130.0716%22 Sept →
mirage2–130.0517%22 Sept →
ancient10–130.0617%21 Sept →
dust28–13-0.0411%21 Sept →
nuke4–13-0.0417%20 Sept →
nuke8–13-0.0620%15 Sept →
overpass9–13-0.0411%10 Sept →
cache8–13-0.0421%10 Sept →
nuke3–13-0.0525%10 Sept →
mirage12–120.0821%10 Sept →
cache8–13-0.0224%9 Sept →
dust213–7-0.042%9 Sept →
anubis13–30.0711%8 Sept →
dust22–13-0.0216%7 Sept →
cache13–50.0422%7 Sept →
nuke4–13-0.0528%7 Sept →
cache7–13-0.1113%6 Sept →
dust26–13-0.0110%6 Sept →
anubis5–13-0.0526%6 Sept →
anubis13–10-0.0420%5 Sept →
vertigo6–13-0.0415%3 Sept →
mirage15–15-0.0424%3 Sept →
dust26–13-0.0720%3 Sept →
office12–120.0118%2 Sept →
vertigo13–20.0514%2 Sept →
mirage13–10-0.0817%1 Sept →
nuke13–90.0521%1 Sept →
cache5–13-0.0219%1 Sept →
anubis8–13-0.059%31 Aug →
inferno13–20.0020%31 Aug →
nuke8–13-0.018%31 Aug →
nuke6–13-0.0311%27 Aug →
inferno6–130.0116%27 Aug →
cache10–13-0.0522%27 Aug →
dust213–7-0.0420%27 Aug →
ancient13–11-0.0213%26 Aug →
cache13–8-0.0711%26 Aug →
mirage8–13-0.0115%24 Aug →
cache13–50.0515%19 Aug →
inferno13–90.0110%19 Aug →
ancient3–13-0.087%19 Aug →
nuke13–5-0.0014%19 Aug →
anubis13–110.0118%18 Aug →
nuke13–11-0.0419%17 Aug →
nuke7–130.0515%17 Aug →
ancient10–130.0412%14 Aug →
nuke0–11-0.0625%14 Aug →
nuke12–16-0.0314%13 Aug →
cache13–50.0316%13 Aug →
anubis13–8-0.0310%13 Aug →
inferno13–11-0.049%13 Aug →
cache13–4-0.0811%13 Aug →
ancient13–5-0.0110%13 Aug →
dust213–60.0412%13 Aug →
ancient3–13-0.1117%13 Aug →
mirage14–160.0414%13 Aug →
anubis13–80.0526%12 Aug →
dust213–70.0729%12 Aug →
overpass3–13-0.0529%12 Aug →
train13–11-0.0112%12 Aug →
nuke13–5-0.0813%11 Aug →
anubis9–13-0.0615%10 Aug →
cache10–130.0221%10 Aug →
nuke13–10-0.0410%6 Aug →
mirage15–15-0.028%6 Aug →
nuke8–13-0.0321%5 Aug →
inferno7–130.0020%4 Aug →
ancient6–13-0.045%4 Aug →
anubis13–8-0.0320%4 Aug →
nuke11–13-0.0318%3 Aug →
overpass13–5-0.0022%3 Aug →
anubis13–9-0.0417%31 Jul →
nuke12–12-0.0112%30 Jul →

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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