Dallas Wings select Azzi Fudd of UConn No. 1 in WNBA draft with a $500,000 payday waiting ⁠1%

By DOUG FEINBERG⁠0%

4/14/2026, 6:53:33 AM

BS Summary: This article contains 16 faulty reasoning types, including Representativeness Heuristic, Optimism Bias, and Halo Effect, with Appeal to Emotion as the most egregious example at 8.1% saturation with 72 hits. Analysis detected 546 faulty-reasoning hits from 893 analyzed words, generating a BS Score of 6.5% and a BS Rank of ⁠1% (21,697 of 21,887 articles). This article is better (less manipulative) than 99.10% of the article peer group.

ByĀ DOUGĀ FEINBERGĀ 
UpdatedĀ 5:06Ā AMĀ PDT,Ā AprilĀ 14,Ā 2026Ā 
UConnĀ guardĀ AzziĀ FuddĀ posesĀ withĀ WNBAĀ commissionerĀ CathyĀ EngelbertĀ afterĀ beingĀ selectedĀ firstĀ overallĀ byĀ theĀ DallasĀ WingsĀ inĀ theĀ firstĀ roundĀ ofĀ theĀ WNBAĀ basketballĀ draftĀ Monday,Ā AprilĀ 13,Ā 2026,Ā inĀ NewĀ York.Ā 
(APĀ Photo/PamelaĀ Smith)Ā 
NEWĀ YORKĀ (AP) — AzziĀ FuddĀ isĀ onĀ herĀ wayĀ toĀ DallasĀ asĀ theĀ No.Ā 1Ā pickĀ inĀ theĀ WNBAĀ draftĀ withĀ aĀ $500,000Ā paydayĀ waitingĀ forĀ theĀ formerĀ UConnĀ star.Ā 
AĀ record-settingĀ sixĀ UCLAĀ playersĀ followedĀ herĀ intoĀ theĀ league.Ā 
ā€œI’mĀ notĀ reallyĀ sureĀ IĀ haveĀ wordsĀ toĀ describeĀ thatĀ feeling,Ā whatĀ thatĀ meant,ā€Ā FuddĀ saidĀ ofĀ gettingĀ drafted.Ā 
ā€œIĀ don’tĀ thinkĀ it’sĀ fullyĀ sunkĀ in.Ā 
It’sĀ nothingĀ IĀ couldĀ haveĀ imagined.Ā 
TheĀ feelingĀ ofĀ sittingĀ withĀ myĀ family,Ā withĀ MorganĀ (Valley),Ā hearingĀ yourĀ nameĀ called,Ā goĀ upĀ there.Ā 
SuchĀ aĀ surrealĀ feeling,ā€Ā 
FuddĀ willĀ pairĀ againĀ withĀ formerĀ HuskiesĀ teammateĀ PaigeĀ Bueckers,Ā whoĀ wasĀ theĀ Wings’ topĀ pickĀ lastĀ year.Ā 
Bueckers — whoĀ alongĀ withĀ FuddĀ gaveĀ UConnĀ aĀ recordĀ sevenĀ No.Ā 1Ā selections — wasĀ inĀ attendanceĀ atĀ theĀ draftĀ alongĀ withĀ Fudd’sĀ HuskiesĀ teammates.Ā 
ā€œPaigeĀ isĀ anĀ incredibleĀ player,Ā everyoneĀ knowsĀ that,ā€Ā FuddĀ said.Ā 
ā€œShe’sĀ someoneĀ thatĀ makesĀ playingĀ basketballĀ withĀ easy.ā€Ā 
UCLAĀ starsĀ LaurenĀ BettsĀ andĀ GabrielaĀ JaquezĀ wentĀ inĀ theĀ topĀ five,Ā aĀ littleĀ overĀ aĀ weekĀ afterĀ leadingĀ theĀ BruinsĀ toĀ theirĀ firstĀ NCAAĀ championship.Ā 
TheirĀ teammate,Ā KikiĀ Rice,Ā wentĀ sixthĀ toĀ Toronto,Ā theĀ firstĀ pickĀ forĀ theĀ expansionĀ franchise.Ā 
TheĀ TempoĀ choseĀ toĀ haveĀ theĀ higherĀ pickĀ inĀ theĀ collegeĀ draftĀ afterĀ winningĀ aĀ coinĀ toss,Ā givingĀ theĀ PortlandĀ FireĀ theĀ topĀ choiceĀ inĀ theĀ expansionĀ draftĀ earlierĀ thisĀ month.Ā 
UCLAĀ brokeĀ UConn’sĀ recordĀ ofĀ havingĀ fourĀ playersĀ draftedĀ inĀ theĀ firstĀ round,Ā aĀ markĀ theĀ HuskiesĀ setĀ inĀ 2002,Ā whenĀ AngelaĀ DugalicĀ wentĀ ninthĀ toĀ Washington,Ā teamingĀ herĀ againĀ withĀ Betts.Ā 
And,Ā GiannnaĀ KneepkensĀ wasĀ chosenĀ byĀ ConnecticutĀ withĀ theĀ lastĀ pickĀ ofĀ theĀ openingĀ round.Ā 
TheĀ BruinsĀ laterĀ brokeĀ theĀ markĀ forĀ theĀ mostĀ playersĀ draftedĀ fromĀ oneĀ teamĀ whenĀ CharlisseĀ Leger-WalkerĀ wasĀ selectedĀ byĀ ConnecticutĀ withĀ theĀ thirdĀ pickĀ inĀ theĀ secondĀ round.Ā 
TennesseeĀ (1997,Ā 2008),Ā NotreĀ DameĀ (2019)Ā andĀ SouthĀ CarolinaĀ (2023)Ā heldĀ theĀ previousĀ recordĀ withĀ fiveĀ playersĀ taken.Ā 
TheĀ newĀ collectiveĀ bargainingĀ agreementĀ thatĀ wasĀ ratifiedĀ lastĀ monthĀ gaveĀ hugeĀ payĀ raisesĀ toĀ rookies.Ā 
FuddĀ willĀ makeĀ nearlyĀ seven-timesĀ whatĀ BueckersĀ earnedĀ lastĀ seasonĀ asĀ theĀ topĀ choice.Ā 
TheĀ No.Ā 2Ā andĀ No.Ā 3Ā picksĀ willĀ getĀ $466,913Ā andĀ $436,016,Ā respectively.Ā 
Second-Ā andĀ third-roundĀ picksĀ willĀ makeĀ $270,000 — whichĀ isĀ moreĀ thanĀ theĀ previousĀ maximumĀ salaryĀ inĀ theĀ oldĀ CBA.Ā 
ā€œI’mĀ justĀ blessedĀ andĀ gratefulĀ toĀ comeĀ atĀ thisĀ time,ā€Ā saidĀ No.Ā 8Ā pickĀ Flau’jaeĀ Johnson,Ā whoĀ wasĀ draftedĀ byĀ GoldenĀ StateĀ beforeĀ gettingĀ tradedĀ toĀ Seattle.Ā 
ā€œTheĀ 30thĀ season.Ā 
MyĀ goalĀ isĀ toĀ leaveĀ itĀ betterĀ thanĀ IĀ foundĀ it.Ā 
It’sĀ aĀ gratitudeĀ thing,Ā butĀ alsoĀ aĀ responsibilityĀ thing.Ā 
I’mĀ takingĀ thatĀ withĀ fullĀ force.ā€Ā 
MinnesotaĀ tookĀ OliviaĀ MilesĀ ofĀ TCUĀ withĀ theĀ No.Ā 2Ā pick.Ā 
MilesĀ decidedĀ toĀ stayĀ inĀ collegeĀ lastĀ seasonĀ insteadĀ ofĀ enterĀ theĀ WNBAĀ draft.Ā 
SheĀ transferredĀ fromĀ NotreĀ DameĀ toĀ theĀ HornedĀ Frogs.Ā 
SheĀ helpedĀ theĀ teamĀ reachĀ theĀ EliteĀ EightĀ forĀ theĀ secondĀ consecutiveĀ year.Ā 
ā€œDeepĀ breathĀ that’sĀ whyĀ IĀ gotĀ emotional,ā€Ā MilesĀ saidĀ ofĀ finishingĀ herĀ journey.Ā 
ā€œIt’sĀ finallyĀ here,Ā finallyĀ heardĀ myĀ name.Ā 
ThisĀ isĀ whatĀ thisĀ wasĀ for.ā€Ā 
AfterĀ SeattleĀ tookĀ SpainĀ centerĀ AwaĀ FamĀ ThiamĀ atĀ No.Ā 
3,Ā WashingtonĀ selectedĀ theĀ 6-foot-7Ā BettsĀ beforeĀ theĀ ChicagoĀ SkyĀ followedĀ withĀ Jaquez,Ā whoĀ isĀ theĀ sisterĀ ofĀ MiamiĀ HeatĀ playerĀ JaimeĀ JaquezĀ Jr.Ā 
SheĀ nowĀ hasĀ familyĀ braggingĀ rightsĀ notĀ onlyĀ withĀ aĀ nationalĀ championship,Ā butĀ alsoĀ wasĀ pickedĀ higherĀ thanĀ him.Ā 
JaimeĀ wasĀ takenĀ 18thĀ inĀ theĀ NBAĀ draftĀ inĀ 2023.Ā 
PortlandĀ tookĀ SpanishĀ guardĀ IyanaĀ MartinĀ CarrionĀ withĀ itsĀ first-everĀ pick.Ā 
IndianaĀ tookĀ SouthĀ Carolina’sĀ RavenĀ JohnsonĀ withĀ theĀ 10thĀ pickĀ andĀ WashingtonĀ draftedĀ CotieĀ McMahonĀ ofĀ OleĀ MissĀ next.Ā 
ConnecticutĀ tookĀ FrenchĀ playerĀ NellĀ AnglomaĀ withĀ theĀ 12thĀ pick.Ā 
AĀ secondĀ GamecockĀ wentĀ nextĀ withĀ MadinaĀ OkotĀ draftedĀ byĀ Atlanta.Ā 
SeattleĀ draftedĀ Duke’sĀ TainaĀ MairĀ withĀ theĀ 14thĀ choice.Ā 
TheĀ SunĀ closedĀ outĀ theĀ firstĀ roundĀ choosingĀ Kneepkens.Ā 
InternationalĀ flavorĀ 
ThereĀ wereĀ 11Ā internationalĀ playersĀ takenĀ inĀ theĀ draftĀ whoĀ didn’tĀ playĀ atĀ aĀ U.S.Ā college,Ā includingĀ threeĀ inĀ theĀ firstĀ roundĀ withĀ FamĀ Thiam,Ā MartinĀ CarrionĀ andĀ Angloma.Ā 
FamĀ ThiamĀ wasĀ theĀ highestĀ selectedĀ playerĀ fromĀ SpainĀ everĀ draftedĀ inĀ theĀ league.Ā 
ThreeĀ SpanishĀ playersĀ wereĀ takenĀ inĀ all.Ā 
ā€œIncrediblyĀ excitedĀ forĀ ourĀ countryĀ andĀ theĀ globalĀ game,ā€Ā saidĀ MartaĀ Suarez,Ā whoĀ wasĀ draftedĀ byĀ SeattleĀ inĀ theĀ secondĀ roundĀ beforeĀ gettingĀ tradedĀ toĀ GoldenĀ State.Ā 
ā€œTheĀ WNBAĀ isĀ growing,Ā attractingĀ talentĀ fromĀ allĀ overĀ theĀ world.ā€Ā 
WNBAĀ CommissionerĀ CathyĀ EngelbertĀ saidĀ inĀ herĀ pre-draftĀ pressĀ conferenceĀ thatĀ theĀ leagueĀ plannedĀ toĀ playĀ eitherĀ anĀ exhibitionĀ gameĀ orĀ aĀ regular-seasonĀ gameĀ overseasĀ nextĀ year.Ā 
Mother-daughterĀ comboĀ 
FuddĀ andĀ herĀ mother,Ā KatieĀ Smrcka-DuffyĀ Fudd,Ā becameĀ theĀ secondĀ mother-daughterĀ pairĀ toĀ haveĀ beenĀ draftedĀ intoĀ theĀ WNBA.Ā 
Smrcka-DuffyĀ FuddĀ wasĀ takenĀ inĀ 2001Ā byĀ theĀ SacramentoĀ MonarchsĀ inĀ theĀ fourthĀ round,Ā butĀ neverĀ playedĀ aĀ game.Ā 
PamĀ McGeeĀ wasĀ takenĀ secondĀ overallĀ inĀ theĀ 1997Ā draft,Ā alsoĀ byĀ Sacramento.Ā 
HerĀ daughter,Ā ImaniĀ McGee-Stafford,Ā wasĀ draftedĀ 10thĀ overallĀ byĀ ChicagoĀ inĀ 2016.Ā 
Article reasoning-pattern comparisonThis article: 1.2%DOUG FEINBERG: 0.3%One America News Network: 4.6%Confirmation Bias1.2%This article: 1.6%DOUG FEINBERG: 0.8%One America News Network: 2.4%Anchoring Bias1.6%This article: 4.6%DOUG FEINBERG: 1.1%One America News Network: 3.9%Availability Heuristic4.6%This article: 7.4%DOUG FEINBERG: 1.8%One America News Network: 1.1%Representativeness Heuristic7.4%This article: 3.6%DOUG FEINBERG: 0.9%One America News Network: 0.9%Hindsight Bias3.6%This article: 0.7%DOUG FEINBERG: 0.2%One America News Network: 2.9%Overconfidence Bias0.7%This article: 5.4%DOUG FEINBERG: 3.3%One America News Network: 15.3%Framing Effect5.4%This article: 2.2%DOUG FEINBERG: 0.6%One America News Network: 1.0%Loss Aversion2.2%This article: 1.8%DOUG FEINBERG: 0.4%One America News Network: 1.1%Status Quo Bias1.8%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.1%Sunk Cost Effect0.0%This article: 7.3%DOUG FEINBERG: 2.9%One America News Network: 4.3%Optimism Bias7.3%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.8%Pessimism Bias0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 11.8%Negativity Bias0.0%This article: 2.1%DOUG FEINBERG: 0.5%One America News Network: 3.2%Self-Serving Bias2.1%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.7%Fundamental Attribution Error0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.2%Actor-Observer Bias0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 3.9%In-Group Bias0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.9%Out-Group Homogeneity Bias0.0%This article: 6.4%DOUG FEINBERG: 2.4%One America News Network: 5.3%Halo Effect6.4%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.4%Horn Effect0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.0%Dunning-Kruger Effect0.0%This article: 2.9%DOUG FEINBERG: 0.7%One America News Network: 2.0%Recency Bias2.9%This article: 4.8%DOUG FEINBERG: 1.2%One America News Network: 0.7%Primacy Effect4.8%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.1%Blind-Spot Bias0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 2.5%Ad Hominem0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.6%Straw Man0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 6.3%Appeal to Authority0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.8%False Dilemma0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.1%Slippery Slope0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.1%Circular Reasoning0.0%This article: 0.0%DOUG FEINBERG: 0.6%One America News Network: 5.4%Hasty Generalization0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.5%Red Herring0.0%This article: 1.1%DOUG FEINBERG: 0.3%One America News Network: 1.1%Bandwagon1.1%This article: 8.1%DOUG FEINBERG: 2.0%One America News Network: 10.0%Appeal to Emotion8.1%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.7%Begging the Question0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 3.0%Post Hoc (False Cause)0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.2%Tu Quoque0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.6%Burden of Proof0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.2%Appeal to Nature0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.3%Composition/Division0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.6%Anecdotal0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.1%No True Scotsman0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.0%Gambler’s Fallacy0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.1%Middle Ground0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.2%Personal Incredulity0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.3%Special Pleading0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.7%Genetic Fallacy0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.7%Unattributed Quote0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.5%Quote-first Misdirection0.0%This article: 0.0%DOUG FEINBERG: 0.9%One America News Network: 5.2%Biased Writer Voice0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.1%Indoctrination0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 3.8%Politically Right Leaning Bias0.0%This article: 0.0%DOUG FEINBERG: 0.0%One America News Network: 1.5%Attempt to Sell a Product or S…0.0%

893 words analyzed.

Speakers

5speakers24%attributed speech675writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 17 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageAzzi Fudd • 19 words • 0.0% coverageAzzi Fudd • 7 words • 0.0% coverageAzzi Fudd • 6 words • 0.0% coverageAzzi Fudd • 17 words • 0.0% coverageAzzi Fudd • 4 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageAzzi Fudd • 10 words • 0.0% coverageAzzi Fudd • 8 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageFlau’jae Johnson • 27 words • 0.0% coverageFlau’jae Johnson • 3 words • 0.0% coverageFlau’jae Johnson • 11 words • 0.0% coverageFlau’jae Johnson • 9 words • 0.0% coverageFlau’jae Johnson • 6 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageOlivia Miles • 13 words • 0.0% coverageOlivia Miles • 7 words • 0.0% coverageOlivia Miles • 6 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageMarta Suarez • 27 words • 0.0% coverageMarta Suarez • 11 words • 0.0% coverageCathy Engelbert • 27 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverage
Selected voice

Marta Suarez

100%flagged-word coverage
38 attributed words17% of attributed speech54% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.