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The FAAB Market Report

Week 5 waivers, 2026. The run after Week 4's games. What players cost off waivers across the member leagues whose results we have, and how close our recommended bids came. Updated every Wednesday after waivers process.

Every week we have published · the historical market

B

Overall: B (9.4 points missed)

B

Key players: B (5.5 points missed)

Last week: Overall B (6.8 points missed), Key players D (17.5).

Each of our three bids makes a promise: P60 should win 60% of the players somebody else also bids on, P75 75%, P90 90%. Winning up to 5 points more than the promise counts as on target, because we would rather overpay than lose the player. Below the promise, every point counts. Above that band, only the extra counts.

Overall checks each promise separately for our low, middle and high bids, across every contested claim our board priced. A claim counts as contested when the winner paid at least $1 and another team also bid at least $1: a $0 bid never competes, because $1 beats it. This week grades the player-specific bid each card leads with.

Key players are the players our leagues bid on hardest this week: 3 or more managers bidding in at least 15% of our leagues, at a median winning bid of 15% of budget or more (quarterbacks counted only in superflex and two-QB leagues). Each player is graded separately: how often our P60 bid would have won that player, against the same 60% to 65% target. Every player counts the same.

PlayerP60 wonContested claimsPoints missed
Will Shipley RB71%2075.5

Grading scale, in points missed: A under 5, B under 10, C under 15, D under 25, F at 25 or more. Overall is measured on 912 contested claims (re-graded Oct 23 under our current rule, the one every week now uses; before that this page read B, 6.3 points missed on 1,213 claims). How we grade, and every change to it.

444
leagues in this run
10,546
bids placed
34%
drew a second bidder
6.0%
typical winning bid, share of budget

1Shipley looked like a risky add. The market paid the going rate, and the little history we have says that was fair.

Saquon Barkley and Tank Bigsby both got hurt in Week 4, Bigsby at the very end of the game. That left Will Shipley, third among Eagles backs in touches this season. He was the most contested player of the week: he drew at least one bid in 296 of our leagues, and the median winning bid was 17% of budget.

On paper, he was a risky add. He was a third-stringer. Eagles running backs had been scoring 11.5 half-PPR points a game, lower than all but about 4% of the backfields in our history. And the offense was below average. You might expect the market to pay less for a spot like that. It did not. So we went back through the history to see whether it should have.

How we looked at it:

Most replacement backs go cheap, because few leagues can or do bid on them. Across all 61 cases, the median winning bid was 5.3% of budget. Backs bid on in under 20% of our leagues had often been rostered already: in a median 51% of leagues, against 17% for the rest.

When the market chases a replacement back, it pays about 18%. In 25 cases, at least half the leagues that could bid on the new back did. The median winning bid in those was 18.0%. Shipley drew bids in 76% of the leagues where he was available, and went for 17%. That puts him 14th of 26, right in the middle.

The market does not discount for a bad spot. Among those chased backs, third-stringers went for a median 21.5%, against 16.7% for backups. Backs from weak backfields went for 16.7%, against 20.0% from strong ones.

So far, that looks fair. The chased backs scored a median 10.4 points a game. The four chased third-stringers with three games of results scored a median 11.7, and none scored under 5. Backs from weak backfields scored 10.1, against 10.7.

The flops were backs few leagues chased. Since 2012, 30% of third-stringers who took over scored under 5 points a game, against 17% of backups. We have prices for five of those flops, and all five drew bids in under 30% of the leagues where they were available and went for 5% or less: Jacques Patrick in 2021, Tony Jones in 2021, Keaontay Ingram in 2023, Audric Estimé in 2024 and Emari Demercado in 2025. Low interest is not a sure sign, though. Seven priced third-stringers drew that little interest, and two of them did fine.

One more point in Shipley's favor. He has played more than his touches suggest: 51% of the snaps in Week 2, and 48% in Week 4, the same as Bigsby. The market may see him as a co-backup, not a third-stringer.

Our read: the warning signs you might expect, a third-stringer in a weak backfield, have not predicted a flop in the few cases where the market paid attention. Low interest has been the better warning. We will report back after three games.

These groups are small: 25 chased cases in all, and only 5 of them third-stringers. Read them as leans, not rules.

2The five most contested players

Ranked by how many leagues saw two or more managers bid on the same player. That is a different list from the most-claimed players: half of week-one bids are for nothing, and a free add is not a contested claim. Team defenses are left out here; they are in the full table below.

Will Shipley RB

Wanted in 356 leagues. 264 of those turned into a real auction with two or more managers bidding. The winner paid 17.0% of budget, and had to go 5.0% past the next-best offer. Half the winning bids landed between 8.5% and 25.0%, so the market did not agree. 3% of the leagues that won paid nothing at all.

It took a median 20.5% of budget to beat the winner. Here is how each of our bids did, across the 207 leagues we can score:
P60
said 26.0%, won 71%
P75
said 39.0%, won 90%
P90
said 53.0%, won 100%

Bar: how often the bid won. White tick: what it promised.

Keon Coleman WR

Wanted in 258 leagues. 179 of those turned into a real auction with two or more managers bidding. The winner paid 11.0% of budget, and had to go 5.0% past the next-best offer. Half the winning bids landed between 5.5% and 17.0%, so the market did not agree. 5% of the leagues that won paid nothing at all.

It took a median 16.0% of budget to beat the winner. Here is how each of our bids did, across the 134 leagues we can score:
P60
said 16.0%, won 57%
P75
said 24.0%, won 77%
P90
said 31.0%, won 94%

Bar: how often the bid won. White tick: what it promised.

Dohnte Meyers WR

Wanted in 233 leagues. 128 of those turned into a real auction with two or more managers bidding. The winner paid 6.8% of budget, and had to go 2.5% past the next-best offer. Half the winning bids landed between 2.0% and 12.0%, so the market did not agree. 12% of the leagues that won paid nothing at all.

It took a median 9.0% of budget to beat the winner. Here is how each of our bids did, across the 75 leagues we can score:
P60
said 12.0%, won 63%
P75
said 16.0%, won 77%
P90
said 23.1%, won 100%

Bar: how often the bid won. White tick: what it promised.

Roman Wilson WR

Wanted in 180 leagues. 73 of those turned into a real auction with two or more managers bidding. The winner paid 6.0% of budget, and had to go 4.0% past the next-best offer. Half the winning bids landed between 2.5% and 12.0%, so the market did not agree. 14% of the leagues that won paid nothing at all.

It took a median 12.0% of budget to beat the winner. Here is how each of our bids did, across the 41 leagues we can score:
P60
said 13.0%, won 54%
P75
said 18.0%, won 76%
P90
said 22.0%, won 100%

Bar: how often the bid won. White tick: what it promised.

Tyler Allgeier RB

Wanted in 80 leagues. 47 of those turned into a real auction with two or more managers bidding. The winner paid 7.8% of budget, and had to go 5.0% past the next-best offer. Half the winning bids landed between 3.0% and 14.0%, so the market did not agree. 14% of the leagues that won paid nothing at all.

It took a median 13.0% of budget to beat the winner. Here is how each of our bids did, across the 33 leagues we can score:
P60
said 19.0%, won 79%
P75
said 29.0%, won 91%

Bar: how often the bid won. White tick: what it promised.

3Did our number work

Before you bid, the board gives you a price at each of three rungs. P60 is built to win 60% of the players somebody else is also bidding on; P75 and P90 are the same idea at higher confidence.

Scored against the 3,705 recommendations that turned into a real claim, out of 26,444 we showed. The rest are players nobody bid on, so there is nothing to score. Fit blend-v1-20260924.

What we bid, against what it took

Only claims where two or more managers bid. A bid counts as a win when it would have beaten the manager who actually won, by a dollar.

Our P60 bid ran between 10% and 21% of budget across these rows. What players actually took to win ran from 3% to 28%. This table groups players by what they ended up costing, which nobody knows until waivers run. A player lands in the top row because someone bid big, so no bid made in advance wins most of those. It shows where the money went, not whether our number was right. Grouped by what our P60 said instead, it won 34% when it said under 8% of budget and 80% when it said 22% or more, against a 60% promise.

When our P60 did win a contested claim, it overpaid a median 7.0% of budget over what it took. Our target is a max of 5%: a small overpay beats losing the player, but it should not be more than that.

What it took to winClaimsWhat our P60 bidHow often P60 would have won
under 5% of budget13810%96%
5% to 10% of budget17313%84%
10% to 20% of budget33117%66%
20% or more of budget27021%30%

Did we predict which claims would be contested?

Every card leads with one number: the minimum bid when we expect nobody else to bid, or P60 when we expect other managers to bid. This is how often that call was right. It is not part of the grade yet.

What happenedCard led with P60Card led with the minimum
Someone else bid too912 claims72%right: led with P6028%wrong: led with the minimum and lost
Nobody else bid2,272 claims38%wrong: overpaid a median 15%62%right: the minimum won it

All three of our bids

PromiseHow often it woncontested claimsWhat we saidshare of budgetWhat it tookshare of budget
P60912 claims60%promised63%+3% vs the promise16.0%what we said13.5%2.5% high
P75912 claims75%promised82%+7% vs the promise24.5%what we said13.5%11.0% high
P9089 claims90%promised99%+9% vs the promise36.0%what we said13.0%23.0% high

P90 was shown on far fewer players than P60, so it has fewer claims to score. Grey cells are too thin to count toward the grade.

4New method against old

Every card now leads with a player-specific bid. It adjusts your league's price for how widely a player is rostered across the country, how often he is being added, and player sentiment. The previous method, the same price for every player at a position, is still shown beneath it. Both are graded here on the same contested claims, with the same rules.

GradeP60 wonoverall P60 wonlow bidsP60 wonhigh bids
New method: player-specificBmissed by 9 points63%of 912 contested claims34%when it said under 8%80%when it said 22% or more
Previous method: same price per positionCmissed by 11 points59%of 912 contested claims33%when it said under 8%75%when it said 22% or more

5We bid too high on the week's top player

Our grade this week is a B.

We changed how we grade, to match what the tool is for: a bid that wins the players you want most, without wasting budget. Winning a little more often than we promise now counts as on target, because losing the player is worse than paying a bit extra. Graded the old way, this week would have been a C.

Will Shipley was the player most leagues fought over. In 216 leagues, two or more managers bid on him. The winner usually paid 17% of budget. Our P60 said 27%. That won him 71% of the time, more than the 60% it promises, but it cost more than it needed to.

More players drew a bidding war than in a normal week: 1 in 3, against 1 in 5. Running backs most of all.

6What we are still working on

Our P60 swings too far. When it said a player would go cheap, under 8% of budget, it won only 46% of the time. When it said a player would go for 22% or more, it won 81%. We bid too low on players we expect to be cheap, and too high on the ones we expect to be expensive.

We also suggest P60 too often when nobody else is bidding. In those cases the minimum bid would have won.

Last week's report now includes the private leagues that came in late. Its grade stays a B.

We still owe you a Gordon versus Wright follow-up. It comes with the Week 7 report.

7Who got added, and what they cost

Measured across 444 FAABFAX member leagues whose waiver results we have for this run. Private leagues reach us only when a member refreshes from their own browser, usually about a week later. This page was re-scored the following Wednesday to include the ones that arrived late. Aggregates only. No league, team or manager is named anywhere on this page, and a player appears only when at least 5 leagues bid on them.

Prices are shares of budget, not dollars. Leagues run different budgets. A $50 bid in a $100 league and a $500 bid in a $1,000 league are the same bid, and both show here as 50%. That is the only way to put every league in one table.

Two different prices, and the gap between them matters. "A typical bid" is the middle of every offer made on that player, winners and losers together. "The winning bid" is what the manager who won actually paid, so it sits at the top of that range by definition. When the two are far apart, a few managers wanted that player badly and the rest did not.

"Won by" is the winning bid minus the next-highest bid. It needs the losing bids to exist at all, and it tells you something the winning bid alone cannot: whether the winner had to stretch. A small gap means everyone agreed on the price. A big gap means the winner could have paid less and still won.

PlayerLeaguesthat bidA typical bidshare of budgetThe winning bidshare of budgetWon byover the next-best bidTwo or more bidders
Will ShipleyRB356999 bids10.0%middle of all bids17.0%8.5% to 25.0%5.0%in 256 auctions with a clear winner74%of those leagues
Keon ColemanWR258676 bids6.2%middle of all bids11.0%5.5% to 17.0%5.0%in 178 auctions with a clear winner69%of those leagues
Dohnte MeyersWR233461 bids3.0%middle of all bids6.8%2.0% to 12.0%2.5%in 119 auctions with a clear winner55%of those leagues
Roman WilsonWR180294 bids3.0%middle of all bids6.0%2.5% to 12.0%4.0%in 67 auctions with a clear winner41%of those leagues
Ollie GordonRB3373 bids13.7%middle of all bids19.0%11.0% to 34.0%2.0%in 9 auctions with a clear winner55%of those leagues
Tyler AllgeierRB80172 bids5.0%middle of all bids7.8%3.0% to 14.0%5.0%in 44 auctions with a clear winner59%of those leagues
Brian RobinsonRB69116 bids4.4%middle of all bids8.0%3.0% to 13.0%5.6%in 23 auctions with a clear winner36%of those leagues
T.J. HockensonTE121188 bids2.7%middle of all bids4.0%0.6% to 9.8%2.0%in 45 auctions with a clear winner38%of those leagues
Mike GesickiTE138208 bids2.0%middle of all bids3.0%1.0% to 6.5%2.2%in 38 auctions with a clear winner32%of those leagues
Braelon AllenRB1837 bids12.8%middle of all bids22.5%15.9% to 36.5%4.2%in 4 auctions with a clear winner50%of those leagues
Emanuel WilsonRB49122 bids6.0%middle of all bids8.0%2.0% to 18.8%6.0%in 29 auctions with a clear winner59%of those leagues
Jaxon Smith-NjigbaWR665 bids39.0%middle of all bids65.1%50.2% to 76.7%6.2%in 6 auctions with a clear winner100%of those leagues
Jacksonville JaguarsDEF169353 bids1.6%middle of all bids2.0%1.0% to 3.5%1.0%in 108 auctions with a clear winner64%of those leagues
Jacoby BrissettQB143211 bids1.0%middle of all bids2.0%0.0% to 4.6%2.6%in 43 auctions with a clear winner30%of those leagues
Tyreek HillWR70107 bids3.0%middle of all bids4.0%0.0% to 11.9%2.0%in 20 auctions with a clear winner33%of those leagues
Cincinnati BengalsDEF179348 bids1.0%middle of all bids1.5%0.2% to 3.0%1.0%in 99 auctions with a clear winner57%of those leagues
Romeo DoubsWR4480 bids4.1%middle of all bids6.0%3.4% to 10.8%3.0%in 20 auctions with a clear winner50%of those leagues
Drake MayeQB4376 bids3.5%middle of all bids6.0%1.2% to 15.0%4.5%in 20 auctions with a clear winner49%of those leagues
Joe MixonRB4952 bids2.2%middle of all bids5.0%0.2% to 15.5%9.0%in 3 auctions with a clear winner6%of those leagues
Keaton MitchellRB60105 bids2.0%middle of all bids4.0%0.4% to 10.0%3.0%in 15 auctions with a clear winner28%of those leagues
Michael MayerTE7799 bids2.0%middle of all bids3.0%1.0% to 6.8%3.0%in 16 auctions with a clear winner25%of those leagues
Khalil ShakirWR4780 bids2.8%middle of all bids4.5%1.0% to 7.0%2.5%in 14 auctions with a clear winner30%of those leagues
Tre' HarrisWR6997 bids2.0%middle of all bids2.9%1.0% to 7.0%1.5%in 18 auctions with a clear winner29%of those leagues
MarShawn LloydRB6585 bids1.8%middle of all bids3.0%0.0% to 6.0%0.3%in 14 auctions with a clear winner28%of those leagues
Tyler HuntleyQB4681 bids2.3%middle of all bids4.0%1.0% to 13.8%2.0%in 20 auctions with a clear winner43%of those leagues
Kirk CousinsQB87129 bids1.1%middle of all bids2.0%0.0% to 6.0%3.0%in 25 auctions with a clear winner30%of those leagues
Carnell TateWR1328 bids9.2%middle of all bids13.0%4.2% to 28.0%10.8%in 4 auctions with a clear winner31%of those leagues
Christian WatsonWR645 bids12.6%middle of all bids26.3%25.1% to 28.6%12.2%in 6 auctions with a clear winner100%of those leagues
Austin EkelerRB7594 bids0.6%middle of all bids2.0%0.0% to 5.0%0.5%in 10 auctions with a clear winner19%of those leagues
Justin JeffersonWR531 bids14.0%middle of all bids28.6%26.5% to 31.0%3.3%in 5 auctions with a clear winner100%of those leagues
Denver BroncosDEF68100 bids0.5%middle of all bids2.0%0.0% to 3.0%1.0%in 17 auctions with a clear winner32%of those leagues
Deshaun WatsonQB2939 bids2.5%middle of all bids4.5%0.5% to 8.5%7.0%in 5 auctions with a clear winner17%of those leagues
Dallas CowboysDEF122169 bids0.5%middle of all bids1.0%0.0% to 2.3%1.0%in 35 auctions with a clear winner31%of those leagues
Kalif RaymondWR2741 bids4.4%middle of all bids4.4%0.5% to 12.0%0.0%in 6 auctions with a clear winner30%of those leagues
KC ConcepcionWR4071 bids2.0%middle of all bids2.8%1.0% to 7.7%3.5%in 14 auctions with a clear winner40%of those leagues
Woody MarksRB2147 bids1.1%middle of all bids5.2%1.0% to 7.5%3.0%in 9 auctions with a clear winner43%of those leagues
Jaylen WrightRB3651 bids3.0%middle of all bids2.7%0.5% to 11.4%1.0%in 9 auctions with a clear winner31%of those leagues
Alvin KamaraRB1025 bids3.2%middle of all bids9.0%6.8% to 10.0%7.0%in 5 auctions with a clear winner60%of those leagues
Jadarian PriceRB58 bids12.0%middle of all bids17.6%0.1% to 43.7%37.5%in 2 auctions with a clear winner40%of those leagues
D'Andre SwiftRB546 bids11.6%middle of all bids17.5%15.0% to 18.7%-0.5%in 5 auctions with a clear winner100%of those leagues
40 of the 437 players claimed this week are shown. 251 more were claimed in fewer than 5 leagues. We leave those out: with only a handful of leagues behind a row, the number is really one league's business rather than the market's.

8How this week compares to a typical week

Each number is this week against a typical week like it: the same week in 2024 and 2025, from public leagues, weighted to match our mix of superflex and one-QB leagues.

"Two or more bidders" is how often a player drew a real auction instead of being picked up for nothing. When that share rises, people are panicking. "Won by" is how far above the next-best bid the winner landed. A small number means everyone agreed on the price. A big one means the winner could have paid less and still won. "Paid double" is how often the winner bid at least twice the next-highest bid.

Two or more biddersshare of playersTypical winning bidshare of budgetWon byabove the next-best bidPaid doubleor more than the next bid
Every position5,823 players34%+62% vs baseline6.0%-14% vs baseline2.0%-33% vs baseline28%-5% vs baseline
RB1,417 players40%+76% vs baseline15.0%+45% vs baseline4.0%-20% vs baseline28%-17% vs baseline
WR1,703 players38%+64% vs baseline8.3%-17% vs baseline3.0%-40% vs baseline27%-21% vs baseline
QB721 players27%+67% vs baseline5.0%-25% vs baseline2.9%+5% vs baseline37%+71% vs baseline
TE652 players26%+35% vs baseline4.2%-31% vs baseline1.9%-5% vs baseline34%+23% vs baseline

9Quarterback prices by league type

In a superflex league a quarterback can also fill the flex spot, so teams need more of them. We keep those leagues apart from one-QB leagues so a quarterback price is never a blend of the two.

League typeQB priceshare of budgetTwo or more bidders
Superflex104 leagues, 23% of them7.5%typical winning QB bid36%of QB claims
Two-QB7 leagues, 2% of them9.3%typical winning QB bid22%of QB claims
One-QB333 leagues, 75% of them5.0%typical winning QB bid25%of QB claims

The week's most-claimed quarterbacks

QuarterbackSuperflexwinning bidOne-QBwinning bid
Jacoby Brissett3.6%in 5 leagues2.0%in 138 leagues
Deshaun Watson6.9%in 13 leagues2.0%in 15 leagues

10What we learned

More claims were contested than usual. 34% of claims had two or more bidders, against 21% in a typical week like this one (+62%).

RB drew more competition than usual: 40% of RB claims had two or more bidders, against 23% in a typical week (+76%). The winning RB bid was a median 15.0% of budget, against 10.3%.

TE drew more competition than usual: 26% of TE claims had two or more bidders, against 19% in a typical week (+35%). The winning TE bid was a median 4.2% of budget, against 6.0%.

Our P60 bid swung more than prices did. When it said under 8% of budget it won 34% of contested claims, and those players took a median 8.0%. When it said 22% or more it won 80%, and those took a median 19.0%. Too low at one end, too high at the other.

Our card led with the contested price on 873 claims that ended up drawing a single bidder. The minimum bid would have won every one, so following our number there cost a median 15.0% of budget for nothing.