BareBearBoy

BareBearBoy — CS2 Stats

US76561198349223418[U:1:388957690]Steam profile ↗✓ No bans

506Tracked matches50%Win rate2020Tracked since
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 506
−5.2ppWin rate · 55.2% → 50.0%

Rating over time

Premier CS Rating: 14,582 +3,037 11 Jun – 24 Jun · 7 days played
11,54514,582peak 14,58211 Jun24 Jun
14,790Peak Premier in tracked matches
49Days played since 2025-06-07

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

Share this profile

CSDB.GGBareBearBoyFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning40
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55–38–7Last 10055%Win rateWWTLWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +1.7pp headshot accuracy · −57ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 472ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 554ms

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 (+0.9 against its own average).

Aim5.2
Utility3.9
Positioning4.0
Opening Duels1.0
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

ZywOo

Plays most like ZywOo 90% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 573ms 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

Aim5.2
Positioning4.0
Utility3.9
Mechanics6.1
Opening Duels1.4
Win Impact5.0

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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time578ms−79ms
first ⅓ avg 656ms → last ⅓ avg 578ms
Headshot accuracy15.6%+0.7%
first ⅓ avg 14.9% → last ⅓ avg 15.6%

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

0.05Best match rating · 13–2 · overpass, 3 Aug →
33%Best headshot accuracy · 8–6 · rush_001, 29 Sept →
406msFastest reaction time · 13–3 · anubis, 12 Oct →
13–1Biggest win · nuke, 29 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
7–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 63% over 16ancientWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.03
ancientC187–1139%-0.04
dust2A1610–663%-0.04
infernoB137–654%-0.03
anubisA74–357%-0.03
nukeC73–443%-0.04
cacheB63–350%-0.00
train—33–0100%-0.03
overpass—32–167%-0.01
rush_001—22–0100%-0.02
vertigo—21–150%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

90Matches
53%Win rate
0.69Avg K/D
55.2ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1457%0.668.9
Anubis967%0.548.4
Inferno838%0.539.4
Cache786%1.2113.9
Mirage757%0.619.7
Dust2667%0.7111.2
Nuke1100%0.4310.0

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.

16.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.9%Spray accuracy
77.4%Counter-strafing
11.9°Preaim
573msReaction time
36.0%T opening success
35.1%CT opening success
0.64Enemies flashed / flash
2.0%Flash assists
3.60HE damage / grenade
7.97Flashes / 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 35.9811% — below the 40% mark we flag

Spend your practice time on Ancient

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0319%14 Oct →
inferno13–7-0.0314%14 Oct →
ancient15–15-0.0318%12 Oct →
cache5–13-0.0115%12 Oct →
anubis13–3-0.049%12 Oct →
nuke9–13-0.0521%12 Oct →
mirage10–13-0.0815%10 Oct →
ancient6–13-0.0919%6 Oct →
inferno13–7-0.0212%5 Oct →
cache13–5-0.0414%5 Oct →
inferno6–130.0315%5 Oct →
ancient14–16-0.0610%2 Oct →
rush_0018–70.010%2 Oct →
rush_0018–6-0.0533%29 Sept →
mirage13–2-0.039%27 Sept →
dust22–7-0.050%27 Sept →
vertigo13–6-0.1224%27 Sept →
dust29–13-0.0913%26 Sept →
dust213–4-0.0318%24 Sept →
anubis2–13-0.0316%17 Sept →
dust213–11-0.0521%17 Sept →
inferno4–130.0028%11 Sept →
dust26–13-0.0222%11 Sept →
cache12–120.0122%10 Sept →
cache11–13-0.0211%9 Sept →
ancient8–13-0.0517%9 Sept →
mirage13–9-0.0716%6 Sept →
inferno7–13-0.0813%6 Sept →
inferno13–8-0.0815%31 Aug →
anubis13–50.0218%31 Aug →
cache13–4-0.0017%31 Aug →
mirage11–40.0313%24 Jul →
dust213–9-0.0610%20 Jul →
ancient6–13-0.0619%13 Jul →
inferno13–10-0.0217%13 Jul →
anubis5–13-0.0820%13 Jul →
cache13–60.0416%12 Jul →
dust213–80.0012%9 Mar →
anubis13–3-0.0317%1 Mar →
ancient13–3-0.0717%1 Mar →
mirage13–80.0229%7 Feb →
mirage6–13-0.0726%1 Feb →
ancient13–7-0.0331%1 Feb →
train13–10-0.0816%8 Dec →
ancient13–80.0230%8 Dec →
mirage12–12-0.0131%29 Nov →
nuke13–1-0.0217%29 Nov →
mirage9–6-0.0418%27 Nov →
mirage13–11-0.0412%22 Nov →
ancient7–13-0.0121%22 Nov →
mirage8–13-0.0610%17 Nov →
dust213–9-0.0012%17 Nov →
dust22–13-0.0622%11 Nov →
inferno9–13-0.0117%11 Nov →
dust28–3-0.0617%6 Aug →
mirage7–13-0.0511%6 Aug →
dust213–9-0.0424%5 Aug →
nuke6–13-0.0710%5 Aug →
overpass13–20.0530%3 Aug →
ancient12–12-0.0113%31 Jul →
overpass13–11-0.0317%30 Jul →
dust213–8-0.0530%30 Jul →
overpass8–13-0.0511%29 Jul →
vertigo3–13-0.0427%29 Jul →
nuke5–13-0.1118%16 Jul →
dust213–70.0415%16 Jul →
mirage3–6-0.0727%24 Jun →
ancient13–11-0.0823%24 Jun →
mirage9–13-0.0516%24 Jun →
mirage13–40.0210%24 Jun →
mirage13–40.0217%24 Jun →
ancient5–13-0.069%24 Jun →
inferno8–13-0.0419%24 Jun →
anubis13–7-0.0315%20 Jun →
inferno13–60.0118%20 Jun →
mirage13–4-0.0616%20 Jun →
ancient13–9-0.047%20 Jun →
nuke13–80.0112%19 Jun →
mirage13–7-0.0224%18 Jun →
ancient13–7-0.0316%18 Jun →
nuke13–8-0.0012%18 Jun →
dust213–8-0.0216%16 Jun →
anubis5–13-0.0411%16 Jun →
inferno13–10-0.0416%15 Jun →
mirage6–13-0.0511%15 Jun →
dust28–13-0.0416%13 Jun →
train13–4-0.0313%12 Jun →
mirage13–50.0319%11 Jun →
inferno16–12-0.047%11 Jun →
ancient16–12-0.0217%11 Jun →
ancient14–16-0.0122%11 Jun →
mirage13–5-0.0311%11 Jun →
ancient15–15-0.0416%10 Jun →
mirage15–15-0.0019%10 Jun →
inferno13–16-0.0518%8 Jun →
mirage13–3-0.0014%8 Jun →
dust26–13-0.0715%8 Jun →
train16–130.0112%8 Jun →
nuke15–15-0.0215%8 Jun →
ancient7–13-0.0411%7 Jun →

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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