JakeyBry

JakeyBry — CS2 Stats

AU76561198845273661[U:1:885007933]Steam profile ↗✓ No bans

666Tracked matches59%Win rate2020Tracked since
1,645Hours in CS3Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating18,313Purple band · top ~15.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (14 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: 18,313 -1,227 22 Sept – 17 Oct · 24 days played
16,93119,999peak 19,99922 Sept17 Oct
19,999Peak Premier in tracked matches
28Days played since 2026-09-22

Premier CS Rating

  • 1,686 below peak (19,999)
  • -1,227 over 30 days · declining
  • Next: Pink band at 20,000 — 1,687 to go
  • Reached: Purple band · 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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate46.4%43.8%44.8%above
Shot accuracy15.8%12.0%12.4%above
Kill/death ratio1.151.021.03above
Match win rate43.3%44.7%45.2%2.0% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJakeyBryFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,313 · 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

Aim83
Positioning59
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWWLTTLWWLW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +3.2pp headshot accuracy · +7ms 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 28%
  • Avg reaction 533ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 526ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 522ms

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 (+1.4 against its own average).

Aim8.3
Utility4.4
Positioning5.9
Opening Duels4.5
Clutch3.2

Strong CT-side openerLimited utility dependence

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning5.9
Utility4.4
Mechanics7.0
Opening Duels6.2
Win Impact8.1

Composite 6.8/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time530ms+15ms
first ⅓ avg 515ms → last ⅓ avg 530ms
Headshot accuracy24.0%+2.8%
first ⅓ avg 21.2% → last ⅓ avg 24.0%

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

0.21Best match rating · 13–11 · ancient, 2 Oct →
50%Best headshot accuracy · 8–13 · inferno, 25 Sept →
367msFastest reaction time · 13–6 · dust2, 30 Oct →
13–2Biggest win · ancient, 4 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 64% over 11cacheWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.01
mirageB2211–1150%0.01
infernoA148–657%0.00
cacheD124–833%0.02
ancientA117–464%0.05
nukeA106–460%0.02
anubisC52–340%0.02

Across the last 100 tracked matches.

Lifetime stats

49,975Lifetime kills
1.15K/D · Top 25% of Level 5 players
2,393Matches
43.3%Match win rate
46.4%Headshot % · Top 50% of Level 5 players
15.8%Shot accuracy · Top 25% of Level 5 players
6,055MVPs
1,386Hours (in match)
1,461Bombs planted
566Bombs defused

Most-used weapons

Lifetime map wins

3,260dust2
2,875inferno
1,584nuke
354vertigo
204train
108lake
71office
26italy

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

Faceit stats

Combat

55Matches
45%Win rate
1.20Avg K/D
92.1ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1369%1.2418.1
Dust21354%1.2017.5
Ancient425%1.1220.0
Anubis450%1.6220.5
Inferno333%1.3420.3
Nuke367%1.5722.7
Cache10%0.628.0

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.

24.4%Headshot accuracy
34.8%Accuracy (enemy spotted)
36.9%Spray accuracy
81.5%Counter-strafing
9.4°Preaim
525msReaction time
50.1%T opening success
59.7%CT opening success
0.53Enemies flashed / flash
5.3%Flash assists
9.37HE damage / grenade
3.81Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8059 — below the 4 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–60.0337%30 Oct →
dust213–3-0.0020%30 Oct →
dust24–13-0.1029%25 Oct →
dust212–12-0.0318%18 Oct →
ancient15–15-0.0438%17 Oct →
dust28–130.0430%17 Oct →
dust213–10-0.0134%17 Oct →
inferno13–100.0320%16 Oct →
mirage8–13-0.0421%15 Oct →
mirage13–4-0.0326%15 Oct →
mirage6–130.0020%14 Oct →
dust210–90.0724%13 Oct →
cache11–13-0.0032%13 Oct →
dust213–11-0.0315%11 Oct →
inferno13–70.0227%11 Oct →
nuke13–110.0517%11 Oct →
ancient15–150.0028%11 Oct →
dust213–50.0421%10 Oct →
mirage13–100.0919%10 Oct →
mirage13–80.1036%10 Oct →
inferno13–80.0229%10 Oct →
ancient13–80.0521%10 Oct →
mirage7–130.0031%9 Oct →
cache14–160.0122%9 Oct →
anubis13–50.0720%9 Oct →
mirage10–13-0.0317%8 Oct →
nuke13–10-0.0117%7 Oct →
dust23–13-0.0414%6 Oct →
mirage9–130.0112%5 Oct →
mirage13–90.0131%5 Oct →
anubis9–13-0.0218%5 Oct →
dust213–9-0.0224%5 Oct →
dust22–13-0.0425%4 Oct →
mirage13–90.0829%4 Oct →
inferno13–16-0.0023%4 Oct →
dust213–10-0.0116%4 Oct →
ancient13–70.1021%4 Oct →
mirage13–10-0.0328%4 Oct →
ancient13–2-0.0336%4 Oct →
dust29–130.0124%4 Oct →
inferno13–11-0.0129%4 Oct →
dust213–3-0.0323%3 Oct →
mirage7–13-0.0436%3 Oct →
nuke14–160.0423%3 Oct →
inferno10–13-0.1113%2 Oct →
mirage16–14-0.0322%2 Oct →
cache4–13-0.0213%2 Oct →
dust22–13-0.0628%2 Oct →
anubis13–70.0119%2 Oct →
inferno12–160.0021%2 Oct →
mirage13–110.0519%2 Oct →
ancient13–110.2119%2 Oct →
nuke8–13-0.0819%1 Oct →
nuke8–130.0323%30 Sept →
nuke15–15-0.0122%30 Sept →
cache8–13-0.0315%29 Sept →
dust210–13-0.0315%29 Sept →
mirage9–13-0.0221%28 Sept →
cache3–130.0432%28 Sept →
nuke13–80.0525%28 Sept →
nuke13–50.1024%28 Sept →
inferno13–50.0719%28 Sept →
nuke13–60.0430%28 Sept →
cache13–80.1534%28 Sept →
ancient13–90.1219%28 Sept →
cache16–130.0220%27 Sept →
dust216–14-0.0318%27 Sept →
dust27–13-0.0225%27 Sept →
inferno13–10-0.0218%27 Sept →
ancient10–130.0531%27 Sept →
mirage10–13-0.0013%27 Sept →
inferno7–13-0.0217%27 Sept →
mirage13–90.0218%27 Sept →
cache13–60.0710%26 Sept →
mirage16–130.0411%26 Sept →
anubis10–130.0313%26 Sept →
nuke13–90.0024%26 Sept →
inferno11–13-0.0119%26 Sept →
inferno13–100.0812%26 Sept →
ancient13–30.0911%26 Sept →
dust211–13-0.0513%25 Sept →
mirage8–13-0.0120%25 Sept →
cache5–130.0116%25 Sept →
mirage8–13-0.0130%25 Sept →
inferno8–130.0350%25 Sept →
ancient3–13-0.129%25 Sept →
cache1–13-0.0420%25 Sept →
dust213–70.0233%24 Sept →
mirage13–9-0.0016%24 Sept →
cache10–13-0.0317%24 Sept →
mirage5–130.0230%23 Sept →
cache13–30.0228%23 Sept →
dust213–20.0236%23 Sept →
anubis8–130.0319%23 Sept →
inferno13–3-0.0224%23 Sept →
dust213–30.1210%23 Sept →
dust216–13-0.0216%22 Sept →
ancient13–60.1036%22 Sept →
dust29–13-0.0228%22 Sept →
dust21–13-0.0929%22 Sept →

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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