BabyBear

BabyBear — CS2 Stats

FR76561197994549708[U:1:34283980]Steam profile ↗✓ No bans

1,941Tracked matches43%Win rate2023Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating8,068Light Blue band · top ~64.1% of ranked players (population est.)
FaceitLevel 2 · 395 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 8,068 -775 1 Oct – 4 Nov · 22 days played
7,7289,968peak 9,9681 Oct4 Nov
9,999Peak Premier in tracked matches
395Highest Faceit ELO seen on CSDB
24Days played since 2026-10-01

Faceit ELO

  • At peak — 395
  • Next: Level 2 at 501 — 106 to go

Premier CS Rating

  • 1,900 below peak (9,968)
  • -944 over 30 days · declining
  • Next: Blue band at 10,000 — 1,932 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGBabyBearFACEITLevel 2 · 395 ELOSTANDINGTop 97.9% of rankedPREMIER8,068 · Light Blue bandPEAK ELO395csdb.gg/stats

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Performance scores

Aim40
Positioning47
Utility63

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateWWLLWLLLLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +2.0pp headshot accuracy · −20ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 656ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 645ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 656ms

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 (+2.7 against its own average).

Aim4.0
Utility6.3
Positioning4.7
Opening Duels0.5
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.

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

iM

Plays most like iM 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 647ms 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

Aim4.0
Positioning4.7
Utility6.3
Mechanics6.2
Opening Duels2.4
Win Impact2.8

Composite 4.1/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time639ms+22ms
first ⅓ avg 617ms → last ⅓ avg 639ms
Headshot accuracy10.0%+0.7%
first ⅓ avg 9.3% → last ⅓ avg 10.0%

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

0.10Best match rating · 13–8 · inferno, 28 Oct →
22%Best headshot accuracy · 4–9 · eldorado, 26 Oct →
391msFastest reaction time · 2–7 · vertigo, 28 Oct →
13–3Biggest win · ancient, 29 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 55% over 20dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2011–955%-0.02
ancientC146–843%-0.01
anubisB136–746%-0.03
infernoB137–654%-0.03
cacheC125–742%-0.01
nukeC114–736%-0.02
dust2D81–713%-0.05
debris—31–233%-0.07
poseidon—20–20%-0.07
vertigo—21–150%0.00
eldorado—10–10%-0.01
train—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

168Matches
43%Win rate
0.99Avg K/D
77.8ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4441%0.8812.6
Dust23047%1.0015.4
Anubis2948%0.9213.2
Ancient2540%0.9914.0
Nuke1953%1.0415.7
Inferno1533%1.4614.4
Cache250%1.1411.5
Vertigo20%0.325.5

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.

9.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
28.4%Spray accuracy
77.9%Counter-strafing
10.1°Preaim
647msReaction time
44.2%T opening success
35.2%CT opening success
0.56Enemies flashed / flash
4.4%Flash assists
12.50HE damage / grenade
11.46Flashes / 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 9.3193% — 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 35.1894% — 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.

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–12-0.0213%4 Nov →
mirage13–9-0.0013%4 Nov →
dust28–13-0.0211%4 Nov →
nuke11–13-0.0014%3 Nov →
nuke13–50.0513%3 Nov →
ancient7–130.075%2 Nov →
mirage11–13-0.019%2 Nov →
anubis3–13-0.079%2 Nov →
anubis7–13-0.029%2 Nov →
dust27–13-0.095%2 Nov →
mirage5–13-0.087%2 Nov →
debris5–9-0.197%2 Nov →
poseidon1–9-0.147%2 Nov →
nuke14–16-0.025%30 Oct →
mirage13–110.039%30 Oct →
nuke13–10-0.0411%29 Oct →
ancient13–3-0.025%29 Oct →
dust27–130.0313%28 Oct →
dust21–13-0.119%28 Oct →
inferno13–80.109%28 Oct →
vertigo2–7-0.075%28 Oct →
ancient13–11-0.058%27 Oct →
mirage13–6-0.070%27 Oct →
dust23–13-0.109%26 Oct →
anubis13–100.038%26 Oct →
debris5–9-0.0519%26 Oct →
cache7–13-0.0316%26 Oct →
debris9–70.0114%26 Oct →
mirage11–13-0.037%26 Oct →
eldorado4–9-0.0122%26 Oct →
vertigo9–50.088%26 Oct →
inferno9–70.0114%26 Oct →
mirage13–70.0117%22 Oct →
poseidon4–90.0019%22 Oct →
cache10–13-0.017%22 Oct →
nuke10–13-0.086%22 Oct →
mirage13–100.0110%21 Oct →
mirage16–140.0313%21 Oct →
mirage13–10-0.0010%21 Oct →
cache5–13-0.0420%21 Oct →
dust27–13-0.039%21 Oct →
anubis13–110.0614%21 Oct →
inferno6–13-0.028%21 Oct →
cache8–13-0.0116%20 Oct →
inferno3–13-0.140%20 Oct →
anubis7–13-0.083%20 Oct →
ancient5–130.0019%20 Oct →
nuke4–9-0.154%20 Oct →
mirage13–8-0.0511%20 Oct →
mirage16–12-0.039%19 Oct →
inferno13–10-0.1118%15 Oct →
inferno13–10-0.0812%15 Oct →
nuke10–13-0.0322%15 Oct →
inferno7–13-0.0112%15 Oct →
ancient10–13-0.0510%15 Oct →
dust213–6-0.058%15 Oct →
ancient5–13-0.0415%15 Oct →
anubis7–13-0.099%14 Oct →
mirage7–13-0.026%14 Oct →
inferno13–6-0.0810%14 Oct →
nuke4–13-0.0213%14 Oct →
anubis8–13-0.0311%14 Oct →
ancient7–130.0519%13 Oct →
ancient13–9-0.0012%13 Oct →
inferno11–13-0.019%13 Oct →
cache13–4-0.0118%13 Oct →
cache13–90.0713%13 Oct →
mirage13–60.0014%13 Oct →
anubis14–16-0.064%13 Oct →
dust211–13-0.047%13 Oct →
mirage13–30.0212%12 Oct →
inferno13–11-0.048%12 Oct →
mirage5–13-0.042%12 Oct →
cache7–13-0.0514%12 Oct →
inferno13–70.037%12 Oct →
train12–12-0.0510%12 Oct →
mirage11–13-0.0410%11 Oct →
mirage7–13-0.0113%10 Oct →
anubis11–13-0.0310%9 Oct →
ancient16–13-0.004%9 Oct →
cache13–30.013%9 Oct →
anubis13–10-0.046%9 Oct →
cache10–13-0.046%9 Oct →
cache7–13-0.069%8 Oct →
ancient13–9-0.046%8 Oct →
ancient5–13-0.074%8 Oct →
cache13–30.0515%6 Oct →
mirage5–13-0.0317%6 Oct →
anubis13–10-0.023%6 Oct →
anubis13–8-0.036%6 Oct →
mirage11–13-0.035%4 Oct →
cache13–7-0.0216%4 Oct →
ancient15–15-0.0912%2 Oct →
nuke16–130.0114%2 Oct →
ancient13–16-0.018%2 Oct →
nuke13–70.0413%2 Oct →
inferno5–13-0.019%2 Oct →
ancient13–100.068%1 Oct →
inferno15–15-0.0115%1 Oct →
nuke8–80.0519%1 Oct →

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 →

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