PROSPX is a MLB prospect/farm system evaluation and scouting module created for @eephus_io by @ARKNDJL
Joined May 2026
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PROSPX retweeted
general breakdown of how eWAR will improve on fWAR/bWAR
eWAR includes: ABS/pitch economy run value, derived defensive/positional adjustments, eBR (baserunning), SDR (defense)
@eephus_io will have stats/data for minor league defensive value. we will also have prospect eWAR
me and @WillColqhn 's eephus WAR metric (eWAR) will be launching on the site soon. eWAR will improve WAR through:
-baserunning metric eBR
-validated positional ladder/defensive adjustments
-run value for ABS challenges, pitch economy (P/AB, P/IP)
-defensive metric SDR (ask will)
PROSPX retweeted
me and @WillColqhn 's eephus WAR metric (eWAR) will be launching on the site soon. eWAR will improve WAR through:
-baserunning metric eBR
-validated positional ladder/defensive adjustments
-run value for ABS challenges, pitch economy (P/AB, P/IP)
-defensive metric SDR (ask will)
PROSPX retweeted
A full showcase, preview, and breakdown of the future of @eephus_io ! Incredibly excited for you guys to be able to use the full version of the site later this year. Very thankful for the support that I've received on my journey throughout making this project, thank you so much.
PROSPX retweeted
The Club Ledger module is a comprehensive financial evaluation of each MLB organization, complete with surplus values (and incorporating prospect surplus values from PROSPX), payrolls/salaries from each team, and financial efficiency grades and evaluations for each club.
I've created new metrics like Cost+ (projected wins above replacement per million dollars of next season's CBT payroll, indexed so that 100 is the league mean and each 10 points is one standard deviation across the thirty clubs), $/win for each club, and $/WAR for each club, as well as incorporating metrics like OrgSur+ (Capital-efficiency index for farm systems) from PROSPX.
PROSPX retweeted
I have created a new Club Ledger module that will be available on @eephus_io (details in replies).
The chart below showcases Controlled Surplus (y-axis) vs. Competitive Balance Tax Payroll from 2026 (x-axis), both in $M. Brewers lead the MLB in controllable surplus value.
PROSPX retweeted
my site @eephus_io is back up! i wanted to let you knoe that we're targeting the offseason for the full launch of the site. will be complete with up to date industry leading models throughout all modules (read below for full site info/updated scope!):
-PROSPX (eFV, farm systems, MiLB prospect scouting/grades/rankings/stats, overseas scouting, draft scouting, HS/State profiles, scatterplots/leaderboards/breakout identifier)
-MLB Projections (introducing eWAR, our own in house WAR model w/ improved positional/defensive adjustments)
-MLB Stats (ft. HEM+/SEM+/REM+/DEM+/RIV+, MLB player card pages
Arbitration Predictor, platoon splits/analysis)
-Free Agency predictor/tracker (AAV/length/guaranteed prediction model, team fits, live free agency tracker)
-Team Payrolls (contracts, core control, etc)
-Hall of Fame/Cooperstown Watch (JAWS, young players on HoF trajectories, HoF predictions)
-In Game Management (baserunning, management decisions, manager leaderboards)
-Alchemy Lab (RP->SP candidates, SP->RP candidates, swing tweak lab, pitch mix lab/suggestions, reverse platoon watch, positional change model)
-CollegeSavant (college Statcast, college->MiLB projected stats, etc)
DIAMOND MODULES (paid tier):
-Fantasy Baseball (redraft, dynasty, DFS, daily streamer model, etc)
-Sports Betting (pick of the day, edge finder model, prop model, futures model)
-Baseball Cards (value finding model using eFV vs listed prices of Bowman autos)
other stuff:
-Forum functionality
-Generate GFX functionality across all pages
-Weekly articles written by our growing scout/analyst talent pipeline
-Community discord (now open!)
-Live transaction log that shows prospect promotions/demotions/eFV grade changes
My goal is to lead the public sector in mathematical AUC/Spearman score for accuracy/precision across every model. The eFV model has already gotten to this point by a wide margin and I'd like for the other models across other modules to do the same.
Any other ideas for stuff you'd like to see, please lmk! Really excited about everything and super hyped for you guys to see everything that's on my local version.
PROSPX retweeted
An update on what's coming soon!
my site @eephus_io is back up! i wanted to let you knoe that we're targeting the offseason for the full launch of the site. will be complete with up to date industry leading models throughout all modules (read below for full site info/updated scope!):
-PROSPX (eFV, farm systems, MiLB prospect scouting/grades/rankings/stats, overseas scouting, draft scouting, HS/State profiles, scatterplots/leaderboards/breakout identifier)
-MLB Projections (introducing eWAR, our own in house WAR model w/ improved positional/defensive adjustments)
-MLB Stats (ft. HEM+/SEM+/REM+/DEM+/RIV+, MLB player card pages
Arbitration Predictor, platoon splits/analysis)
-Free Agency predictor/tracker (AAV/length/guaranteed prediction model, team fits, live free agency tracker)
-Team Payrolls (contracts, core control, etc)
-Hall of Fame/Cooperstown Watch (JAWS, young players on HoF trajectories, HoF predictions)
-In Game Management (baserunning, management decisions, manager leaderboards)
-Alchemy Lab (RP->SP candidates, SP->RP candidates, swing tweak lab, pitch mix lab/suggestions, reverse platoon watch, positional change model)
-CollegeSavant (college Statcast, college->MiLB projected stats, etc)
DIAMOND MODULES (paid tier):
-Fantasy Baseball (redraft, dynasty, DFS, daily streamer model, etc)
-Sports Betting (pick of the day, edge finder model, prop model, futures model)
-Baseball Cards (value finding model using eFV vs listed prices of Bowman autos)
other stuff:
-Forum functionality
-Generate GFX functionality across all pages
-Weekly articles written by our growing scout/analyst talent pipeline
-Community discord (now open!)
-Live transaction log that shows prospect promotions/demotions/eFV grade changes
My goal is to lead the public sector in mathematical AUC/Spearman score for accuracy/precision across every model. The eFV model has already gotten to this point by a wide margin and I'd like for the other models across other modules to do the same.
Any other ideas for stuff you'd like to see, please lmk! Really excited about everything and super hyped for you guys to see everything that's on my local version.
PROSPX retweeted
eFV update will also include a predictive machine-learning based driver submodel which will build a player's health profile based on their IL history, stints, and injury specifications and weight this to boost (durability) or drop (fragility) a prospect's eFV grade
eFV UPDATE LOG #1: Testing Contextual Prospect Wisdom Mathematically + eFV Weighted Production Drivers
In baseball prospect development, there are certain explanations behind MiLB production in different contexts that I feel are imperative to implement into models.
In today's eFV update, I've made (and am still working on) making the eFV model more "context aware", and in the process, aiming to test, prove, or disprove many of the colloquial wisdoms of scouts in regards to the correlation between a prospect's MiLB production context and its correlation to MLB-level production.
The first thing I'm aiming to test today is the correlation between cummulative/volume-based prospect statistics/milestones and their translation to MLB production. For example, how many prospects who hit 30+ home runs within a single season went on to become MLB regulars, stars, or superstars? Is there a correlation between "milestone" statistics like these and eventual MLB production?
The next thing I'll be testing today is the concept of "league context" in the Minor Leagues. Many scouts (including myself) believe that Double-A is the level most correlated to MLB Production. My model has proven that performance at Double-A actually has a higher correlation with MLB Production than performance at Triple A (I will be writing a separate paper on this soon). As such, wouldn't it be ideal for eFV drivers, specifically production/statistical based ones, to be weighted by strength of correlation between the production at that Minor League level vs. MLB Production? I am actively testing this right now and will probably post an update tweet in a bit.
Many scouts (including myself) believe that the Pacific Coast League/PCL conference is a very hitter-friendly conference, due to ballpark altitudes and dimensions in this conference. The next thing I'll be working on today is testing this hypothesis, checking to see if specific outlier conferences should have eFV weighted-production.
Through these examples, I'm having more and more ideas about how eFV can acquire more "context" regarding production. eFV already features age-vs-level relative weighting for prospects, but I believe that implementing age-vs-level weighting directly into statistical production drivers may be an enormous breakthrough in this area for me, as it would improve the currently "flat" age-vs-level drivers significantly.
If you read this entire thing, thank you. If you have any questions about any of this, thoughts to add, or ideas you'd like me to test in regards to specific prospect correlations to MLB Production, let me know. eFV has become the most accurate public FV Grading System by a wide margin through its "outcome-grounded" driver derivation model, and any hypotheses or thoughts you have on specific traits/attributes/metrics that could (or you think should) be correlated with MLB Production, please reply below!
PROSPX retweeted
eFV UPDATE LOG #1: Testing Contextual Prospect Wisdom Mathematically + eFV Weighted Production Drivers
In baseball prospect development, there are certain explanations behind MiLB production in different contexts that I feel are imperative to implement into models.
In today's eFV update, I've made (and am still working on) making the eFV model more "context aware", and in the process, aiming to test, prove, or disprove many of the colloquial wisdoms of scouts in regards to the correlation between a prospect's MiLB production context and its correlation to MLB-level production.
The first thing I'm aiming to test today is the correlation between cummulative/volume-based prospect statistics/milestones and their translation to MLB production. For example, how many prospects who hit 30+ home runs within a single season went on to become MLB regulars, stars, or superstars? Is there a correlation between "milestone" statistics like these and eventual MLB production?
The next thing I'll be testing today is the concept of "league context" in the Minor Leagues. Many scouts (including myself) believe that Double-A is the level most correlated to MLB Production. My model has proven that performance at Double-A actually has a higher correlation with MLB Production than performance at Triple A (I will be writing a separate paper on this soon). As such, wouldn't it be ideal for eFV drivers, specifically production/statistical based ones, to be weighted by strength of correlation between the production at that Minor League level vs. MLB Production? I am actively testing this right now and will probably post an update tweet in a bit.
Many scouts (including myself) believe that the Pacific Coast League/PCL conference is a very hitter-friendly conference, due to ballpark altitudes and dimensions in this conference. The next thing I'll be working on today is testing this hypothesis, checking to see if specific outlier conferences should have eFV weighted-production.
Through these examples, I'm having more and more ideas about how eFV can acquire more "context" regarding production. eFV already features age-vs-level relative weighting for prospects, but I believe that implementing age-vs-level weighting directly into statistical production drivers may be an enormous breakthrough in this area for me, as it would improve the currently "flat" age-vs-level drivers significantly.
If you read this entire thing, thank you. If you have any questions about any of this, thoughts to add, or ideas you'd like me to test in regards to specific prospect correlations to MLB Production, let me know. eFV has become the most accurate public FV Grading System by a wide margin through its "outcome-grounded" driver derivation model, and any hypotheses or thoughts you have on specific traits/attributes/metrics that could (or you think should) be correlated with MLB Production, please reply below!
PROSPX retweeted
Top 100 MLB Prospects via my eFV model, week of 8/18/2026 update. The @eephus_io site will be back up soon, sorry again for the long delay, lots of enormous improvements and new features coming.
PROSPX retweeted
Twins SS Marek Houston continues to rocket up the eFV rankings as his hitting breakout continues, now up to 53 eFV / #19 MLB (#3 MIN). Houston has been electric recently and, with a glove first profile already, the power potential that he's flashing is a real gamechanger for him
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PROSPX retweeted
Mets 21y/o 2B/SS Mitch Voit is an ENORMOUS riser on the latest eFV model update, now graded at 50 eFV / #67 MLB (#2 NYM). Voit has been unbelievable recently following his promotion and is now officially a Top 100 prospect on @eephus_io
This quoted post is unavailable.
PROSPX retweeted
Farm system rankings via my @eephus_io farm system model following the trade deadline
Farm systems are graded on four "canopy" grades, which take into account both the current talent in the system and the performance of the farm system over the last 7 years
PROSPX retweeted
17y/o Kansas City Royals CF Angeibel Gomez is ranked ridiculously high on the @eephus_io eFV model (#32 MLB / 52 eFV), even with the model having a derived penalty for DSL/CPX stats. He's been incredible thus far w/ loud tools. This season:
1.068 OPS, .263 ISO, 15.8%BB-10.5%K
PROSPX retweeted
My eFV model for @eephus_io has been upgraded even FURTHER, now @ .393 Spearman score (grade vs. realized WAR) & .758 AUC grade (predicting "became a contributor). Both lead public scouting grade industry by a wide margin. eFV is also now 65% closer on the biggest disagreements.
POST DEADLINE @eephus_io / eFV TOP 100 UPDATE
T100 prospects traded (rank/eFV):
RF Zyhir Hope (#25/53) LAD->DET
SS Arjun Nimmala (#47/51) TOR->LAA
SS Jefferson Rojas (#49/51) CHC->NYM
CF Josiah Ragsdale (#77/50) MIL->STL
SP Ramon Marquez (#88/49) PHI->SFG
SP Anthony Eyanson (#90/49) BOS->BAL
RF Alexander Frias (#93/49) MIL->STL
CF Enddy Azocar (#94/49) BOS->BAL
PROSPX retweeted
POST DEADLINE @eephus_io / eFV TOP 100 UPDATE
T100 prospects traded (rank/eFV):
RF Zyhir Hope (#25/53) LAD->DET
SS Arjun Nimmala (#47/51) TOR->LAA
SS Jefferson Rojas (#49/51) CHC->NYM
CF Josiah Ragsdale (#77/50) MIL->STL
SP Ramon Marquez (#88/49) PHI->SFG
SP Anthony Eyanson (#90/49) BOS->BAL
RF Alexander Frias (#93/49) MIL->STL
CF Enddy Azocar (#94/49) BOS->BAL
PROSPX retweeted
Top 100 MLB Prospects by eFV model (@eephus_io / @MLBPROSPX), August Update. The eFV model has been upgraded and improved even further, this iteration of the model is now the most accurate that it's even been by a wide margin (more on this below)
ft. draft prospects added!
PROSPX retweeted
eFV model on @eephus_io has been improved even FURTHER to a .384 Spearman ρ . eFV is also 64% closer on the biggest disagreements now, up from ~54% previously. Upgraded eFV model as well as new/upgraded modules/models/metrics across the board will be available on the site soon!
PROSPX retweeted
Santucci has been great I wonder when he'll get to the Show
@MLBPROSPX has his ETA at early 2027
Mets #2 Prospect Jonathan Santucci is coming to Cuse! Jonathan Santucci has an ERA of 3.28 in his minor league career! Here we go Jonathan! 😤
PROSPX retweeted
eFV model is extremely high on 22y/o Minnesota Twins shortstop prospect Marek Houston, grading him at 57 eFV / #30 MLB (#2 MIN). Houston is a + defender at SS and has broken out at a big way in AA this season:
124 OPS+, .158 ISO, 11.5%BB-18.6%K
