I'm Baby

I'm Baby — CS2 Stats

76561198005022854[U:1:44757126]Steam profile ↗✓ No bans

946Tracked matches43%Win rate2022Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating15,939Purple band · top ~24.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 946 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 48 days played since 18 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,939 +93 18 Apr14 Sept · 23 days played
15,51117,504peak 17,50418 Apr14 Sept
17,504Peak Premier in tracked matches
48Days played since 2026-04-18

Premier CS Rating

  • 1,565 below peak (17,504)
  • -581 over 30 days · declining
  • -237 over 90 days
  • Next: Pink band at 20,000 4,061 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGI'm BabyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,939 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63
Positioning38
Utility46

0–100 skill scores via Leetify.

Recent form

COLD45523Last 10045%Win rateLTWLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −0.3pp headshot accuracy · +35ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 131 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 492ms

Last 10

  • 181 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 20

  • 6122 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 550ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.3
Utility4.6
Positioning3.8
Opening Duels0.0
Clutch1.4

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.3
Positioning3.8
Utility4.6
Mechanics5.8
Opening Duels0.0
Win Impact2.6

Composite 4.5/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time555ms−29ms
first ⅓ avg 584ms → last ⅓ avg 555ms
Headshot accuracy15.8%+3.2%
first ⅓ avg 12.6% → last ⅓ avg 15.8%

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 · 13–3 · inferno, 27 Apr
31%Best headshot accuracy · 2–13 · dust2, 29 Aug
406msFastest reaction time · 10–13 · nuke, 26 Aug
13–2Biggest win · dust2, 13 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
94In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 69% over 13dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB20101050%-0.02
nukeD1541127%-0.04
infernoD1441029%-0.02
cacheS139469%-0.02
anubisA127558%-0.02
dust2D102820%-0.05
overpassS64267%-0.01
vertigo42250%-0.02
mirage32167%-0.06
shelter1010%-0.04
boulder110100%0.01
train1010%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches
53%Win rate
0.91Avg K/D
64.3ADR
43%Headshot %

Clutches & streaks

27%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1759%1.0413.2
Ancient1553%1.0212.1
Vertigo650%0.7610.8
Mirage540%0.5811.0
Dust2580%0.9311.8
Cache560%0.7014.2
Nuke333%0.8014.0
Overpass20%0.8815.0

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.

16.0%Headshot accuracy
30.9%Accuracy (enemy spotted)
35.4%Spray accuracy
76.2%Counter-strafing
9.4°Preaim
548msReaction time
24.9%T opening success
29.8%CT opening success
0.55Enemies flashed / flash
5.3%Flash assists
9.73HE damage / grenade
7.34Flashes / 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. 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 24.8808% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0517%13 Sept
inferno12–12-0.0229%13 Sept
dust213–2-0.0910%13 Sept
ancient9–13-0.0313%13 Sept
cache9–13-0.0510%9 Sept
nuke2–13-0.0625%9 Sept
ancient1–13-0.076%7 Sept
nuke3–13-0.1015%7 Sept
vertigo4–13-0.0415%4 Sept
shelter7–13-0.0425%4 Sept
ancient13–100.0216%3 Sept
ancient13–7-0.0312%3 Sept
vertigo12–12-0.0412%2 Sept
boulder13–60.0120%2 Sept
mirage14–16-0.036%29 Aug
dust22–13-0.0331%29 Aug
inferno4–13-0.0118%29 Aug
anubis16–12-0.037%27 Aug
nuke10–13-0.1024%26 Aug
vertigo13–11-0.0122%23 Aug
inferno16–130.0321%22 Aug
ancient13–80.029%22 Aug
nuke13–16-0.0221%22 Aug
cache7–13-0.0617%22 Aug
anubis4–130.0316%21 Aug
train6–13-0.0014%21 Aug
cache13–70.1013%21 Aug
anubis13–100.0119%21 Aug
mirage13–7-0.076%21 Aug
cache16–14-0.0312%17 Aug
nuke13–80.0213%16 Aug
anubis13–7-0.0810%16 Aug
anubis13–40.0014%15 Aug
dust210–13-0.0514%15 Aug
inferno9–13-0.089%14 Aug
dust25–13-0.0020%8 Aug
vertigo13–4-0.0119%7 Aug
nuke7–13-0.0510%7 Aug
ancient13–9-0.067%6 Aug
inferno7–130.0415%30 Jul
nuke8–130.0112%30 Jul
inferno2–13-0.0724%30 Jul
nuke16–12-0.0513%29 Jul
inferno9–13-0.0814%29 Jul
inferno7–130.0114%26 Jul
cache1–13-0.0620%26 Jul
ancient11–13-0.0014%21 Jul
ancient13–9-0.019%19 Jul
cache15–150.0118%19 Jul
anubis13–110.0111%19 Jul
cache13–20.0024%18 Jul
ancient8–13-0.079%13 Jul
cache13–10-0.032%11 Jul
ancient11–130.0112%11 Jul
cache13–10-0.038%10 Jul
dust25–13-0.1011%10 Jul
nuke2–13-0.089%10 Jul
cache13–80.0013%10 Jul
ancient2–130.037%9 Jul
cache13–11-0.0219%9 Jul
inferno16–14-0.0517%2 Jul
nuke4–13-0.100%2 Jul
anubis7–13-0.0612%1 Jul
overpass13–9-0.038%1 Jul
ancient13–100.038%26 Jun
ancient10–130.0211%26 Jun
anubis16–120.0115%23 Jun
anubis6–13-0.0816%23 Jun
nuke13–110.0111%18 Jun
ancient13–100.056%18 Jun
overpass6–13-0.0219%13 Jun
dust29–13-0.0217%13 Jun
nuke4–13-0.0817%13 Jun
overpass13–60.0323%25 May
ancient16–13-0.0416%25 May
overpass8–13-0.0819%24 May
dust22–13-0.124%24 May
anubis13–7-0.037%24 May
ancient13–8-0.0216%20 May
nuke13–11-0.019%13 May
inferno3–13-0.0111%13 May
overpass13–8-0.0513%13 May
anubis13–16-0.025%10 May
ancient13–9-0.049%10 May
mirage13–9-0.0610%3 May
nuke12–16-0.0414%3 May
cache19–17-0.0515%3 May
ancient8–13-0.038%3 May
cache13–10-0.049%3 May
inferno9–7-0.138%1 May
overpass9–60.0611%1 May
dust213–6-0.0212%29 Apr
dust27–13-0.0317%28 Apr
inferno13–30.1315%27 Apr
nuke4–13-0.0122%27 Apr
inferno10–13-0.0222%25 Apr
anubis8–13-0.0617%25 Apr
ancient11–13-0.057%23 Apr
inferno1–13-0.109%23 Apr
ancient10–13-0.043%18 Apr

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 →