MIDDemo Premier LeagueSenegal29 years

Finn Okafor

Oakhurst · #14 · OK11

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Estimated market value

€1.56m

Model range: €808k – €2.32m
Confidence: 45%
Season change: −19.4%

Movement

Last matchweek: −1.5%
Last 4 matchweeks: +2.0%
Season to date: −19.4%

Reported in matchweeks, not days — football data arrives by fixture round.

Model estimate, uncalibrated. Values are model estimates on an uncalibrated scale. They are not predictions of a transfer fee and have not been validated against observed fees. Model 0.3.0-uncalibrated.

Valuation drivers

What moves this away from the €4.00m base value

Performance−€494k
Age−€514k
League€0
Position+€102k
Availability−€1.53m

Not in this model

ContractNo contract expiry data in the feed
Market comparablesNo observed transfer fees in the feed

Availability

Read any valuation against this first

Available minutes played14% · 306 of 2160

5 appearances, 3 starts, 19 matchweeks missed.

A player who is not on the pitch drifts down the index without his performance level falling with it, and availability is a direct discount on the valuation above. An unavailable player is not the same thing as a cheap one.

Scenarios

What the model would say under a different set of facts

As measured€1.56mbenchmark
Performance +10%€1.72m+€156k · +10.0%
Performance +20%€1.87m+€312k · +20.0%
Performance −10%€1.41m−€156k · −10.0%
One year older€1.33m−€229k · −14.6%
Fully available€2.82m+€1.26m · +80.5%
Moves to a stronger divisionAlready in the strongest division we rate—

These are counterfactuals, not forecasts. Each row is the same model run with one input changed — it says nothing about whether that change is likely. The benchmark is this player’s measured estimate of €1.56m.

Player DNA

Percentile against MIDs in the Demo Premier League

Goal threat9
Chance creation50
Finishing46
Defending24
Availability4

Well-rounded midfielder without a standout axis in this data — no category clears the 50th percentile among positional peers. Availability is the headline risk: 14% of available minutes played.

Generated from the metrics above, not from scouting notes. Ball progression and pressing are absent because the feed carries no progressive passes, carries or pressures.

Valuation history

The performance index the valuation is built on, by matchweek

Profile

Per-90 percentiles against MIDs

Percentiles as a table

Metric	Finn Okafor
Key passes	90th
Expected assists	34th
Expected goals	25th
Goals	13th
Tackles	16th
Interceptions	9th

Per 90

Rate and percentile among MIDs with 270+ minutes

Goals0.00
Assists0.00
Shots1.5
Shots on target0.0
Key passes1.2
Expected goals0.02
Expected assists0.04
Tackles0.9
Interceptions0.6
Clearances2.4

Finishing

Goals against the quality of the chances they came from, running total

Scoring 0.08 goals fewer than his chances were worth — the chances are being created.

Comparable players

Closest percentile profiles among the same position

Compare →

Player	Similarity	Value	Age	Alike on
Jonas NakamuraJarrowgate	76%	€2.22m	22	shots, expected goals
Gabriel RasmussenStanmoor	72%	€10.8m	23	interceptions, clearances
Felix ToureenDeepdale Vale	71%	€2.88m	28	goals, assists
Felix DelgadoGranthorpe	71%	€38.9m	19	expected assists, shots
Andre BrennanBrackenford	70%	€24.4m	24	expected goals, shots
Bruno MoreauDeepdale Vale	70%	€564k	23	goals, assists

Match log

5 appearances this season

Match-by-match statistics, most recent first
MW	Date	Opponent	Min	Sh	xG	xA	KP	Tkl	Int	Clr
23	16 Jan	v LangmereL 1–3	90	1.0	0.03	0.07	1.0	1.0	0.0	3.0
22	9 Jan	v JarrowgateW 2–0	90	3.0	0.03	0.05	2.0	1.0	1.0	2.0
17	5 Dec	v StanmoorW 5–0	13	0.0	0.00	0.01	0.0	0.0	0.0	0.0
11	24 Oct	at GranthorpeL 0–1	23	0.0	0.00	0.00	0.0	0.0	0.0	1.0
9	10 Oct	at CalderbrookL 1–2	90	1.0	0.02	0.00	1.0	1.0	1.0	2.0

Data

Last fixture: 16 Jan
Matchweeks covered: 24
Model: 0.3.0-uncalibrated

Comparable transfers and contract situation are not shown, because the feed carries no transfer fees and no contract expiry dates. See methodology for what the model can and cannot see.