SoccerLynk FALL 2026
From the creators of PlayerLynk · Launching Fall 2026

Sign the Right Players.
Not the Famous Ones.

AI scouting for football that projects how any player performs in your system, your league, your formation — before you sign. Honest enough to tell you when a fit doesn't work.

Early clubs get founding access.
{{ fitText }}/100 FIT
STRONG FITST · 4-2-3-1
Box finisher for your crossing system. Conditional yes — with a role.
Offensive fit
{{ offText }}
Defensive fit
{{ defText }}
Link-up play · honesty signal
He finishes what others build. He won't build it himself.
{{ linkText }}
Illustrative sample data
any league, any level cross-league projections decision-ready reports
Act 1 · The Player

One target. Sign him or not — and how to use him.

Start with a single transfer target. Sample analysis: a La Liga striker moving to the Qatar Stars League.

01 · System fit

We score the fit honestly — including the part the highlight reel hides.

A single fit score, decomposed against your formation and league. The headline is strong — but the link-up numbers came back well below your baseline.

Honesty signal · link-up play
{{ linkText }}
The grade says yes. The creation numbers say plan around it.

One assist in 34 league games. He converts service — he doesn't generate it. Sign him only if your wings can feed him.

{{ fitText }}/100B+
OFFENSE{{ offText }}
DEFENSE{{ defText }}
SET PIECES{{ spText }}
Illustrative sample data
02 · Action by action

We don't grade the player. We grade the fit, action by action.

Box finishing, aerial duels, pressing, transition — every action graded against how your team already plays. This is one of dozens.

Offensive action fit1 of 28 actions graded
Headed finishing 40% OF HIS GOALS ELITE
HIS AERIAL WIN RATE62%
YOUR FORWARDS, SAME ACTION45%
Box finishing · xG per shot0.18 vs your 0.14
Illustrative sample data
Projected pass network · 4-2-3-1Attacking third
{{ lb.name }}
the target your current XIline width = projected passes/90
Illustrative sample data
03 · The network

We project who feeds him — before he's ever trained with them.

The engine simulates the new player inside your actual XI: which teammates connect with him, how often, and where the ball dies. Geometric match or geometric mismatch — you see it before the fee.

04 · The profile

Elite in the box. Absent in transition. We show you which is which.

Nine attribute axes, plotted against the forwards you already have. The spikes tell you what he adds; the dents tell you what your system must cover.

Attribute radar
the target your forward baseline
{{ rl.name }}
Illustrative sample data
There · La Liga
{{ thereText }}
goals · rotation role
Here · Your league
{{ hereText }}
proj goals · starter
FINISHING PERCENTILE IN YOUR LEAGUE{{ pctText }}th
Y1 · Realistic
{{ y1Text }} goals
Y1 · Upside
{{ y1upText }} goals
Illustrative sample data
05 · Projection

How his game travels to your league — not a guess, a projection.

We translate output across league intensity, pace, defensive pressure and role — then bracket Year 1 between a realistic floor and a genuine upside.

06 · Prescription

We don't stop at a grade. We tell you how to make it work.

The ideal role, service patterns, and squad plan that turn a conditional yes into goals.

RECOMMENDED ROLEBox striker · set-piece anchor
Feed him from wide. His finishing only fires if your wingers deliver — the network says they will.
Make him the set-piece target. Projects +3–5 goals a season from dead balls alone.
Plan a two-year window. Peak impact in year one; start succession planning by year two.
Act 2 · The Squad

Your whole squad. What you've got, your best XI, where you finish.

Now zoom out to the full team.

Compatibility matrix · 11 × 11
strong good watch poor
Illustrative sample data
07 · Squad compatibility

Every pairing in your squad, rated.

Best pairs
Brahimi + the target +8.2
Coman + the target +6.4
Watch points
Two target men, one box −5.8
Counter-press coverage −3.1
08 · The XI

Your best XI — and which XI to use when.

The engine assembles your strongest eleven around the new signing, then gives situational shapes: protecting a lead, chasing a goal, resting legs.

ST The target AM Brahimi LW Coman RW Djaló CM Sassi
Default
ATTA−
DEFB+
SETA
Protect a lead
ATTB
DEFA
SETC+
Chase a goal
ATTA
DEFC
SETA+
Illustrative sample data
Projected final standing{{ confText }}% confidence
Best
{{ bestText }}
Likely
{{ likelyText }}
Floor
{{ floorText }}
12-team league · 22-match season
Illustrative sample data
09 · Season projection

Where this squad lands — and the five things that change it.

01Health of your striker through the winter block
02Wide service quality — crosses into the box per 90
03Set-piece conversion holding above league median
04Counter-press coverage behind the front line
05One creative midfielder in the winter window
From the creators of PlayerLynk

The engine is already proven. In basketball.

PlayerLynk brought honest, system-aware scouting intelligence to programs from the NCAA to Serie A — built by former professional players and front-office minds. SoccerLynk brings the same engine to football.

Visit PlayerLynk →
{{ playersText }}
players analyzed
{{ accText }}
projection accuracy
50+
leagues covered
<60min
per report
{{ club.name }}
{{ club.tag }}
Programs that trust the PlayerLynk engine — NCAA to Serie A.
Launching Fall 2026

Be First on the Team Sheet.

Join the waitlist and get founding access when SoccerLynk opens: early pricing, and a free analysis of your first transfer target.

Founding-member pricing Free first target analysis Built by former pros

You're on the list.

We'll be in touch before launch with your founding access.