JordanPEEK®

JordanPEEK® — CS2 Stats

SE76561198361297897[U:1:401032169]Steam profile ↗✓ No bans

1,448Tracked matches48%Win rate2022Tracked since
1,026Hours in CS
CSDB Rating5.0 DevelopingClutch Specialist
Premier CS Rating10,289Blue band · top ~53.4% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (5 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: 10,289 -2,790 23 Aug – 11 Oct · 20 days played
10,28913,079peak 13,07923 Aug11 Oct
13,618Peak Premier in tracked matches
23Days played since 2026-08-23

Premier CS Rating

  • 2,790 below peak (13,079)
  • -2,309 over 30 days · declining
  • Next: Purple band at 15,000 — 4,711 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.4%42.0%44.3%1.9% short
Shot accuracy7.3%9.6%11.9%4.6% short
Kill/death ratio0.880.981.030.15 short
Match win rate43.6%43.8%45.2%1.7% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGJordanPEEK®PREMIER10,289 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning51
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLLWLWLWLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.0pp headshot accuracy · −34ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 541ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 511ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.4 against its own average).

Aim6.2
Utility5.2
Positioning5.1
Opening Duels1.9
Clutch10.0

Reliable in 1v1s

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 53% on T to 34% on CT — first contacts on the defending side are being lost.

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

Aim6.2
Positioning5.1
Utility5.2
Mechanics5.8
Opening Duels3.4
Win Impact4.4

Composite 5.0/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time534ms−66ms
first ⅓ avg 600ms → last ⅓ avg 534ms
Headshot accuracy19.9%+2.8%
first ⅓ avg 17.1% → last ⅓ avg 19.9%

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

0.31Best match rating · 9–0 · vertigo, 30 Aug →
43%Best headshot accuracy · 7–9 · inferno, 1 Oct →
234msFastest reaction time · 2–9 · inferno, 11 Oct →
13–1Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
12–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC2811–1739%-0.03
mirageB2311–1248%0.01
cacheB158–753%0.01
ancientD124–833%-0.00
dust2A74–357%-0.03
anubisS64–267%-0.01
nukeC52–340%0.01
vertigo—42–250%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,364Lifetime kills
0.88K/D
2,842Matches
43.6%Match win rate
42.4%Headshot % · Top 50% of Blue band
7.3%Shot accuracy
6,478MVPs
1,026Hours (in match)
3,594Bombs planted
520Bombs defused

Most-used weapons

AK-4712,940
AWP4,762
SG 5531,634
P901,559
AUG1,286

Lifetime map wins

4,906inferno
2,136vertigo
1,786nuke
1,421dust2
184lake
65office
62train
28cbble

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

Faceit stats

Combat

5Matches
40%Win rate
1.04Avg K/D
89.3ADR
32%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.0720.3
Inferno10%0.9521.0

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.

20.0%Headshot accuracy
28.3%Accuracy (enemy spotted)
28.6%Spray accuracy
76.2%Counter-strafing
8.4°Preaim
544msReaction time
53.2%T opening success
34.0%CT opening success
0.48Enemies flashed / flash
1.5%Flash assists
8.32HE damage / grenade
12.57Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4811 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.9543% — 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–30.1429%15 Oct →
inferno1–9-0.2018%12 Oct →
nuke5–13-0.0223%11 Oct →
dust213–60.0514%11 Oct →
mirage11–13-0.0112%11 Oct →
inferno9–70.068%11 Oct →
inferno7–13-0.0312%11 Oct →
cache13–11-0.0223%11 Oct →
ancient2–13-0.1035%11 Oct →
inferno2–9-0.1911%11 Oct →
inferno3–13-0.0517%11 Oct →
vertigo7–9-0.0517%11 Oct →
inferno4–90.0711%11 Oct →
mirage15–15-0.0822%7 Oct →
ancient8–130.0815%4 Oct →
mirage16–130.0329%4 Oct →
cache10–13-0.0520%4 Oct →
inferno8–8-0.0412%4 Oct →
anubis13–6-0.0119%1 Oct →
mirage13–11-0.0322%1 Oct →
inferno13–11-0.0314%1 Oct →
cache6–13-0.0414%1 Oct →
inferno7–90.0443%1 Oct →
nuke13–10.0821%29 Sept →
ancient13–70.0011%29 Sept →
anubis11–130.0119%29 Sept →
inferno13–40.0432%29 Sept →
nuke7–130.0116%28 Sept →
cache13–40.0133%28 Sept →
cache13–60.0435%28 Sept →
inferno10–13-0.0224%27 Sept →
inferno5–9-0.0911%27 Sept →
cache13–70.0216%24 Sept →
anubis13–70.0721%24 Sept →
dust21–13-0.089%24 Sept →
mirage6–13-0.1110%24 Sept →
cache13–100.0717%24 Sept →
inferno9–50.1026%24 Sept →
inferno3–9-0.1312%24 Sept →
nuke11–13-0.0125%24 Sept →
inferno2–9-0.300%24 Sept →
mirage11–130.0720%24 Sept →
dust216–14-0.0114%20 Sept →
inferno5–9-0.1115%20 Sept →
inferno6–90.0415%20 Sept →
cache9–130.0422%17 Sept →
mirage8–130.009%17 Sept →
anubis13–5-0.0215%17 Sept →
ancient5–13-0.0313%16 Sept →
mirage13–10-0.018%16 Sept →
inferno9–30.1617%16 Sept →
ancient13–4-0.0014%15 Sept →
nuke13–8-0.0324%15 Sept →
mirage10–130.0217%15 Sept →
ancient5–130.0722%8 Sept →
mirage11–13-0.028%6 Sept →
mirage10–13-0.037%6 Sept →
ancient13–60.0217%6 Sept →
mirage13–50.1014%6 Sept →
inferno13–10-0.0618%6 Sept →
mirage13–8-0.0518%5 Sept →
cache15–150.0417%5 Sept →
mirage13–20.0833%5 Sept →
dust214–16-0.0212%3 Sept →
ancient13–90.1327%3 Sept →
ancient11–13-0.046%3 Sept →
mirage13–100.1122%2 Sept →
dust24–13-0.1017%2 Sept →
mirage13–10-0.0212%2 Sept →
inferno13–11-0.0411%2 Sept →
cache13–110.0215%2 Sept →
ancient4–12-0.0213%2 Sept →
cache13–6-0.0121%2 Sept →
mirage13–110.0121%2 Sept →
dust213–11-0.0517%2 Sept →
mirage6–13-0.0014%2 Sept →
ancient2–9-0.0816%2 Sept →
vertigo9–70.0234%2 Sept →
ancient15–15-0.067%31 Aug →
anubis13–20.027%31 Aug →
vertigo4–9-0.1236%31 Aug →
cache9–13-0.0211%31 Aug →
cache11–130.0324%31 Aug →
mirage10–130.0617%31 Aug →
dust213–6-0.0020%31 Aug →
mirage9–13-0.0118%31 Aug →
inferno8–8-0.0910%31 Aug →
inferno6–13-0.038%30 Aug →
cache13–11-0.047%30 Aug →
anubis1–13-0.139%30 Aug →
mirage15–150.0117%30 Aug →
mirage13–110.0511%30 Aug →
inferno9–5-0.0014%30 Aug →
vertigo9–00.3136%30 Aug →
inferno9–50.0716%30 Aug →
inferno5–9-0.0713%30 Aug →
inferno1–9-0.1230%26 Aug →
inferno9–20.0516%26 Aug →
cache5–130.0127%23 Aug →
mirage13–40.0619%23 Aug →

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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