BenadrylBaller

BenadrylBaller — CS2 Stats

US76561198799239234[U:1:838973506]Steam profile ↗✓ No bans

1,618Tracked matches55%Win rate2020Tracked since
2,351Hours in CS27Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating10,836Blue band · top ~50.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 10,836 -2,133 5 Sept – 14 Nov · 37 days played
9,00012,969peak 12,9695 Sept14 Nov
12,969Peak Premier in tracked matches
46Days played since 2026-09-05

Premier CS Rating

  • 2,133 below peak (12,969)
  • +82 over 30 days · steady
  • Next: Purple band at 15,000 — 4,164 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate35.6%41.3%41.8%6.2% short
Shot accuracy4.7%12.7%12.2%7.5% short
Kill/death ratio0.780.950.980.20 short
Match win rate38.8%42.6%43.3%4.5% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBenadrylBallerFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER10,836 · Blue 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

Aim45
Positioning46
Utility64

0–100 skill scores via Leetify.

Recent form

HOT43–52–5Last 10043%Win rateWLLWWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −5.3pp headshot accuracy · +10ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 608ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 606ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 601ms

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 (+2.3 against its own average).

Aim4.5
Utility6.4
Positioning4.6
Opening Duels1.2

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

b1t

Plays most like b1t 67% 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. 590ms 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

Aim4.5
Positioning4.6
Utility6.4
Mechanics6.3
Opening Duels1.9
Win Impact6.7

Composite 4.8/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time589ms−33ms
first ⅓ avg 622ms → last ⅓ avg 589ms
Headshot accuracy9.9%−3.1%
first ⅓ avg 13.0% → last ⅓ avg 9.9%

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

0.18Best match rating · 7–3 · rush_001, 7 Oct →
31%Best headshot accuracy · 13–9 · nuke, 15 Oct →
453msFastest reaction time · 4–13 · mirage, 30 Oct →
13–2Biggest win · nuke, 12 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 70% over 10cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2814–1450%-0.02
mirageC2611–1542%-0.02
dust2D154–1127%-0.02
anubisS107–370%-0.02
cacheD92–722%0.00
ancient—43–175%-0.06
inferno—40–40%-0.05
office—21–150%-0.03
train—10–10%-0.07
rush_001—11–0100%0.18

Across the last 100 tracked matches.

Lifetime stats

31,968Lifetime kills
0.78K/D
2,468Matches
38.8%Match win rate
35.6%Headshot %
4.7%Shot accuracy
2,831MVPs
860Hours (in match)
1,414Bombs planted
363Bombs defused

Most-used weapons

AK-478,535
MP92,613
MAC-102,104
AWP1,349
P901,131
Nova915

Lifetime map wins

4,283nuke
1,723dust2
1,039inferno
635vertigo
512train
261office
28cbble
20stmarc

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

Faceit stats

Combat

5Matches
0%Win rate
0.49Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

9.8%Headshot accuracy
32.7%Accuracy (enemy spotted)
32.2%Spray accuracy
78.5%Counter-strafing
11.6°Preaim
590msReaction time
35.6%T opening success
39.6%CT opening success
0.58Enemies flashed / flash
7.8%Flash assists
9.30HE damage / grenade
11.95Flashes / 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 9.8112% — below the 15% mark we flag

    Aim Training →
  2. 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 35.6143% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0910%14 Nov →
nuke11–13-0.068%13 Nov →
nuke7–13-0.077%12 Nov →
nuke13–2-0.0115%12 Nov →
nuke7–3-0.0717%12 Nov →
nuke13–110.035%12 Nov →
dust211–13-0.008%11 Nov →
anubis13–9-0.055%11 Nov →
anubis13–6-0.010%10 Nov →
mirage13–5-0.080%10 Nov →
ancient13–6-0.0523%9 Nov →
dust213–16-0.0315%9 Nov →
anubis13–40.0413%8 Nov →
mirage5–13-0.046%6 Nov →
nuke13–10-0.018%5 Nov →
inferno15–15-0.067%5 Nov →
dust216–12-0.0118%4 Nov →
anubis12–160.034%3 Nov →
nuke13–50.0518%3 Nov →
nuke11–13-0.0317%2 Nov →
mirage11–13-0.017%2 Nov →
inferno8–13-0.063%1 Nov →
inferno8–13-0.0010%30 Oct →
mirage4–13-0.0212%30 Oct →
anubis13–6-0.056%29 Oct →
nuke13–110.0114%29 Oct →
mirage13–30.0210%29 Oct →
office13–10-0.0015%28 Oct →
office10–13-0.0610%28 Oct →
cache11–130.0711%27 Oct →
mirage11–130.0115%26 Oct →
nuke6–13-0.067%26 Oct →
anubis13–4-0.016%26 Oct →
nuke13–3-0.0116%26 Oct →
mirage13–20.0620%25 Oct →
nuke7–13-0.059%25 Oct →
nuke13–5-0.049%25 Oct →
anubis15–15-0.0113%25 Oct →
dust213–11-0.039%24 Oct →
cache9–130.1126%24 Oct →
nuke13–60.0624%24 Oct →
mirage3–12-0.028%23 Oct →
cache6–130.023%23 Oct →
ancient13–6-0.0416%23 Oct →
nuke10–13-0.0716%23 Oct →
dust215–15-0.0412%22 Oct →
mirage13–5-0.017%22 Oct →
cache3–13-0.065%22 Oct →
cache8–13-0.0414%19 Oct →
dust211–13-0.0621%19 Oct →
dust29–13-0.1013%18 Oct →
mirage13–10-0.105%17 Oct →
mirage10–13-0.0916%16 Oct →
mirage13–4-0.002%16 Oct →
mirage13–11-0.0015%16 Oct →
nuke13–9-0.0731%15 Oct →
dust213–40.0313%14 Oct →
nuke4–13-0.1014%14 Oct →
mirage7–00.0912%14 Oct →
cache13–6-0.0822%11 Oct →
train4–13-0.0716%11 Oct →
dust213–16-0.008%10 Oct →
mirage6–00.058%10 Oct →
mirage9–13-0.057%10 Oct →
mirage11–13-0.035%10 Oct →
nuke13–8-0.0412%9 Oct →
cache4–13-0.0011%8 Oct →
rush_0017–30.1816%7 Oct →
cache12–120.024%7 Oct →
dust213–30.0614%7 Oct →
mirage5–13-0.0512%7 Oct →
nuke13–100.0415%7 Oct →
anubis13–60.0010%6 Oct →
dust214–16-0.0121%6 Oct →
mirage13–20.0516%4 Oct →
cache16–140.0116%4 Oct →
mirage13–16-0.1119%3 Oct →
mirage15–15-0.1023%3 Oct →
nuke13–10-0.018%2 Oct →
nuke8–13-0.0314%2 Oct →
nuke7–130.0010%2 Oct →
nuke13–90.0921%1 Oct →
nuke1–100.039%1 Oct →
mirage6–13-0.059%1 Oct →
inferno6–13-0.077%30 Sept →
nuke10–130.0314%30 Sept →
dust21–13-0.0423%30 Sept →
mirage10–130.0214%30 Sept →
dust26–13-0.0313%29 Sept →
anubis3–13-0.0723%29 Sept →
nuke7–13-0.0019%27 Sept →
nuke10–130.007%27 Sept →
nuke3–13-0.129%22 Sept →
anubis13–6-0.049%22 Sept →
mirage7–13-0.0615%14 Sept →
dust26–13-0.0911%14 Sept →
mirage13–10-0.0712%12 Sept →
ancient5–13-0.067%6 Sept →
dust211–130.014%6 Sept →
mirage2–13-0.033%5 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.