Jericho Cane

Jericho Cane — CS2 Stats

NO76561198072280771[U:1:112015043]Steam profile ↗✓ No bans

1,231Tracked matches29%Win rate2020Tracked since
2,095Hours in CS
CSDB Rating5.1 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,520 -2,189 31 Jan – 18 Jun · 17 days played
18,52022,153peak 22,15331 Jan18 Jun
22,270Peak Premier in tracked matches
2,081Highest Faceit ELO seen on CSDB
30Days played since 2026-01-29

Faceit ELO

  • At peak — 2,081
  • Next: 2,500 ELO at 2,500 — 419 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

Share this profile

CSDB.GGJericho CanePEAK ELO2,081csdb.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

Aim55
Positioning51
Utility75

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLLLLLLTLL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · −60ms reaction

Win rate down 40pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 585ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 633ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 663ms

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 (+2.2 against its own average).

Aim5.5
Utility7.5
Positioning5.1
Opening Duels3.7
Clutch5.0

Effective flashesHigh utility contribution

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 655ms 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

Aim5.5
Positioning5.1
Utility7.5
Mechanics6.3
Opening Duels3.1
Win Impact0.0

Composite 5.1/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time668ms+46ms
first ⅓ avg 622ms → last ⅓ avg 668ms
Headshot accuracy23.1%+0.9%
first ⅓ avg 22.2% → last ⅓ avg 23.1%

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

0.19Best match rating · 13–1 · overpass, 29 Jan →
50%Best headshot accuracy · 0–4 · train, 9 Oct →
422msFastest reaction time · 13–2 · mirage, 3 Feb →
13–1Biggest win · inferno, 22 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–13In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 67% over 6cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC208–1240%0.03
mirageC188–1044%-0.00
dust2B126–650%0.00
nukeA106–460%0.03
ancientA95–456%0.02
cacheD92–722%0.01
trainC83–538%0.02
anubisA74–357%0.03
overpassS64–267%0.02
vertigo—10–10%0.02

Across the last 100 tracked matches.

Lifetime stats

134,372Lifetime kills
1.42K/D · Top 5% of tracked players
9,769Matches
64.5%Match win rate · Top 5% of tracked players
39.4%Headshot %
18.2%Shot accuracy · Top 10% of tracked players
14,197MVPs
2,095Hours (in match)
5,546Bombs planted
1,761Bombs defused

Most-used weapons

AK-4733,801
AWP7,364
P2506,875
Tec-94,773
P904,179

Lifetime map wins

12,716inferno
3,551dust2
3,413train
2,348nuke
1,285vertigo
1,205safehouse
902cbble
766lake

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

Faceit stats

Combat

157Matches
59%Win rate
1.39Avg K/D
97.3ADR
52%Headshot %

Clutches & streaks

45%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3853%1.5519.2
Dust23040%1.1218.5
Ancient2462%1.2518.6
Anubis2157%1.3318.5
Nuke2070%1.6819.6
Inferno1275%1.5120.8
Vertigo771%1.3221.1
Train3100%1.7420.3

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.

21.8%Headshot accuracy
30.5%Accuracy (enemy spotted)
32.0%Spray accuracy
78.3%Counter-strafing
10.4°Preaim
655msReaction time
36.8%T opening success
47.9%CT opening success
0.74Enemies flashed / flash
10.2%Flash assists
11.40HE damage / grenade
15.36Flashes / 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 36.8199% — 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
ancient13–80.0222%9 Oct →
train0–4-0.0250%9 Oct →
inferno7–130.0318%2 Oct →
cache10–130.0816%2 Oct →
inferno6–70.0228%9 Aug →
train11–130.0020%9 Aug →
dust26–13-0.0311%24 Jul →
nuke12–12-0.0025%24 Jul →
inferno1–13-0.0119%24 Jul →
train9–13-0.059%22 Jun →
inferno13–10.1022%22 Jun →
cache10–13-0.0322%18 Jun →
inferno13–90.0030%18 Jun →
anubis9–13-0.0916%18 Jun →
overpass2–13-0.0710%24 May →
train13–90.0326%24 May →
cache13–40.0228%24 May →
anubis13–20.1031%21 May →
cache6–13-0.0218%21 May →
cache0–7-0.0630%13 May →
vertigo4–130.0218%13 May →
dust25–130.0219%13 May →
cache13–70.0923%13 May →
cache11–13-0.0422%30 Apr →
cache12–120.0822%30 Apr →
cache1–13-0.0217%30 Apr →
mirage10–13-0.0236%24 Apr →
inferno8–13-0.0321%24 Apr →
nuke2–130.0833%10 Apr →
nuke13–3-0.0319%10 Apr →
nuke13–90.1124%2 Apr →
train7–130.0527%2 Apr →
dust211–130.0432%2 Apr →
anubis13–50.0929%2 Apr →
overpass5–13-0.0410%2 Apr →
inferno9–13-0.0115%27 Mar →
mirage8–130.0423%27 Mar →
inferno5–130.0221%24 Mar →
dust211–20.0220%24 Mar →
overpass13–7-0.0112%24 Mar →
anubis13–8-0.0647%22 Mar →
ancient14–16-0.0528%22 Mar →
mirage13–7-0.0018%22 Mar →
anubis13–60.0324%22 Mar →
ancient13–11-0.0321%21 Mar →
mirage5–13-0.0915%21 Mar →
inferno13–80.0626%21 Mar →
nuke6–13-0.0313%20 Mar →
overpass13–10-0.0315%20 Mar →
ancient16–13-0.0129%20 Mar →
mirage10–13-0.0114%20 Mar →
nuke13–11-0.0135%20 Mar →
dust213–70.0422%20 Mar →
train13–40.1525%22 Feb →
anubis12–160.0318%22 Feb →
mirage14–160.0119%22 Feb →
inferno13–60.0919%22 Feb →
mirage10–130.0723%22 Feb →
mirage13–70.0414%21 Feb →
inferno11–130.0412%21 Feb →
mirage13–7-0.0021%21 Feb →
anubis11–130.1125%21 Feb →
inferno13–30.0832%21 Feb →
ancient5–130.0523%21 Feb →
dust25–13-0.0515%21 Feb →
mirage11–130.0023%17 Feb →
mirage13–10-0.0215%14 Feb →
mirage3–13-0.0316%13 Feb →
inferno11–130.0921%13 Feb →
mirage13–5-0.0026%13 Feb →
dust29–130.0827%13 Feb →
mirage16–14-0.0213%13 Feb →
dust26–13-0.0411%9 Feb →
ancient11–13-0.0212%9 Feb →
inferno3–13-0.0515%6 Feb →
train13–2-0.0215%6 Feb →
inferno13–90.0519%6 Feb →
dust213–110.0121%5 Feb →
overpass13–60.0816%5 Feb →
nuke7–130.0421%5 Feb →
inferno10–130.0218%5 Feb →
train10–130.0625%3 Feb →
ancient16–130.0726%3 Feb →
mirage13–20.0726%3 Feb →
inferno13–60.0116%3 Feb →
nuke16–130.0325%3 Feb →
mirage11–13-0.0316%3 Feb →
inferno4–130.0330%1 Feb →
mirage7–13-0.0513%31 Jan →
ancient4–130.0130%31 Jan →
mirage7–00.0350%31 Jan →
inferno11–130.0419%31 Jan →
dust213–40.0237%31 Jan →
overpass13–10.1925%29 Jan →
ancient13–100.0917%29 Jan →
dust213–9-0.0620%29 Jan →
nuke13–110.0433%29 Jan →
dust213–60.0119%29 Jan →
inferno13–110.0017%29 Jan →
nuke13–100.0439%29 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.