⛴ jorty forky ⛟

⛴ jorty forky ⛟ — CS2 Stats

GB76561198060224840[U:1:99959112]Steam profile ↗✓ No bans

2,112Tracked matches38%Win rate2020Tracked since
3,538Hours in CS4Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
CSDB Leaderboard#25190 of 261550 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,879 +1,318 23 Jul – 19 Oct · 36 days played
23,56126,803peak 26,80323 Jul19 Oct
26,803Peak Premier in tracked matches
45Days played since 2026-07-14

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

Performance scores

Aim68
Positioning64
Utility38

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateLLTWWLLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.9pp headshot accuracy · +20ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 509ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 535ms

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 (+2.7 against its own average).

Aim6.8
Utility3.8
Positioning6.4
Opening Duels4.6
Clutch0.0

Limited 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

donk

Plays most like donk 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

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

Aim6.8
Positioning6.4
Utility3.8
Mechanics4.5
Opening Duels6.3
Win Impact1.0

Composite 5.3/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time527ms−16ms
first ⅓ avg 543ms → last ⅓ avg 527ms
Headshot accuracy15.1%+1.5%
first ⅓ avg 13.6% → last ⅓ avg 15.1%

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

0.12Best match rating · 8–8 · debris, 20 Aug →
32%Best headshot accuracy · 3–13 · mirage, 23 Jul →
375msFastest reaction time · 13–10 · dust2, 26 Aug →
13–2Biggest win · nuke, 27 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 63% over 8cacheWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2916–1355%-0.01
mirageC188–1044%-0.02
cacheD155–1033%-0.02
ancientC125–742%-0.00
infernoB105–550%0.03
nukeA85–363%-0.04
anubis—21–150%-0.00
rush_001—21–150%-0.03
debris—10–10%0.12
train—11–0100%-0.04
vertigo—11–0100%0.03
italy—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

130,785Lifetime kills
1.08K/D · Top 50% of tracked players
7,022Matches
39.6%Match win rate
28.6%Headshot %
15.5%Shot accuracy · Top 25% of tracked players
12,976MVPs
2,219Hours (in match)
5,049Bombs planted
1,641Bombs defused

Most-used weapons

AK-4726,002
AWP18,791
MP94,325
P903,694
MAC-102,890

Lifetime map wins

13,563dust2
4,856inferno
4,166nuke
2,797vertigo
1,925train
1,417office
1,163lake
584cbble

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

Faceit stats

Combat

63Matches
49%Win rate
0.96Avg K/D
90.2ADR
24%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke3100%1.6422.3
Mirage2100%2.0230.0
Ancient250%0.9819.5
Dust2250%0.8412.5
Vertigo10%0.9417.0
Anubis10%1.0716.0
Inferno1100%0.8517.0

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.

15.3%Headshot accuracy
36.5%Accuracy (enemy spotted)
36.8%Spray accuracy
70.4%Counter-strafing
9.3°Preaim
533msReaction time
62.7%T opening success
47.9%CT opening success
0.58Enemies flashed / flash
3.4%Flash assists
6.62HE damage / grenade
4.20Flashes / match

Recommended for you

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 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0323%13 Nov →
mirage5–13-0.0221%11 Nov →
inferno8–80.048%10 Nov →
nuke13–7-0.0514%10 Nov →
dust26–10.0321%10 Nov →
nuke7–13-0.037%19 Oct →
dust23–13-0.0219%18 Oct →
mirage4–13-0.0318%18 Oct →
ancient10–130.0410%18 Oct →
mirage13–160.0322%18 Oct →
cache16–130.0614%18 Oct →
inferno13–100.0823%18 Oct →
cache9–13-0.0412%17 Oct →
inferno11–13-0.0111%17 Oct →
anubis13–9-0.0414%16 Oct →
dust24–13-0.0214%16 Oct →
mirage4–13-0.0223%15 Oct →
dust216–130.079%15 Oct →
cache11–13-0.0513%14 Oct →
anubis15–150.0311%13 Oct →
mirage13–110.0517%13 Oct →
dust213–11-0.0115%13 Oct →
cache11–13-0.0219%5 Oct →
dust27–130.0011%5 Oct →
cache2–13-0.0815%5 Oct →
rush_0016–2-0.0414%5 Oct →
dust210–130.0228%4 Oct →
mirage13–80.0313%4 Oct →
rush_0017–8-0.028%4 Oct →
dust29–130.0111%28 Sept →
ancient16–130.0212%21 Sept →
ancient13–90.0211%20 Sept →
ancient10–13-0.0218%20 Sept →
cache12–160.0020%16 Sept →
cache13–70.0514%16 Sept →
dust213–6-0.016%15 Sept →
inferno8–130.0511%15 Sept →
inferno9–40.0516%15 Sept →
ancient8–13-0.0711%14 Sept →
ancient3–9-0.076%10 Sept →
dust213–100.0311%26 Aug →
ancient13–70.017%25 Aug →
mirage3–13-0.116%25 Aug →
cache3–13-0.0612%25 Aug →
nuke13–10-0.0212%23 Aug →
ancient11–13-0.0418%23 Aug →
mirage13–10-0.0217%23 Aug →
mirage13–50.009%22 Aug →
dust29–13-0.0127%20 Aug →
debris8–80.1217%20 Aug →
dust214–16-0.0812%17 Aug →
dust213–4-0.0111%17 Aug →
dust23–13-0.059%17 Aug →
inferno13–30.0615%13 Aug →
cache9–13-0.0710%13 Aug →
mirage11–13-0.0310%12 Aug →
train13–8-0.048%12 Aug →
dust213–110.017%10 Aug →
ancient13–80.049%10 Aug →
dust213–30.0115%10 Aug →
mirage3–13-0.070%10 Aug →
cache13–9-0.0110%6 Aug →
nuke5–9-0.1610%6 Aug →
nuke10–13-0.0413%5 Aug →
mirage10–13-0.0710%4 Aug →
inferno10–130.027%2 Aug →
mirage13–50.0519%1 Aug →
dust213–70.019%30 Jul →
cache2–9-0.074%30 Jul →
dust213–50.0611%30 Jul →
vertigo13–90.039%30 Jul →
dust213–90.065%30 Jul →
nuke13–110.0218%29 Jul →
dust213–80.0414%29 Jul →
inferno16–130.0419%28 Jul →
mirage13–11-0.018%27 Jul →
cache13–160.0118%27 Jul →
nuke13–2-0.0211%27 Jul →
dust213–20.043%27 Jul →
inferno13–6-0.0111%27 Jul →
dust212–12-0.048%26 Jul →
italy0–4-0.0525%26 Jul →
dust213–4-0.0927%26 Jul →
dust213–8-0.0312%26 Jul →
ancient12–160.0419%26 Jul →
cache9–130.0021%23 Jul →
ancient13–50.0416%23 Jul →
dust24–13-0.0916%23 Jul →
inferno7–13-0.0610%23 Jul →
mirage13–100.0217%23 Jul →
mirage3–13-0.0632%23 Jul →
dust20–13-0.110%23 Jul →
dust212–16-0.0019%22 Jul →
nuke13–9-0.0418%21 Jul →
dust212–12-0.0310%21 Jul →
mirage8–130.024%20 Jul →
dust213–6-0.0315%20 Jul →
mirage13–2-0.0313%16 Jul →
cache13–40.0020%15 Jul →
cache13–3-0.018%14 Jul →

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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