;}
function ugChanceFor(prog,cat,s){
const floor=prog.cut[cat]; if(floor==null||isNaN(s)||prog.scale) return null;
const ratio=s/floor;
if(ratio>=1.15) return ['Strong','success','well above the shortlist cutoff — the interview/profile stage will decide'];
if(ratio>=1.0) return ['Fair','success','above the cutoff but near it — expect the call; final admit depends on interview and academics'];
if(ratio>=0.92) return ['Slim','warning','just below the latest cutoff — possible in a lenient year or a later list'];
return ['Unlikely','danger','clearly below the latest cutoff'];
}
function ugPctOf(ex,s){const L=UGD.lookup[ex];let p;
if(s<=L[0][0])p=L[0][1]*s/L[0][0];else if(s>=L[L.length-1][0])p=100;
else for(let i=0;i=a&&s<=b){p=pa+(pb-pa)*(s-a)/(b-a);break;}}
return p;}
function UgFitSection(){
const {Badge}=window.ScorebuddyDesignSystem_ee75f2;
const [cat,setCat]=React.useState('General');
const [grp,setGrp]=React.useState('');
const [v,setV]=React.useState({ipmi:'',ipmr:'',jip:'',cuet:'',npat:'',set:'',iimb:'',jeem:'',sa:'',mcq:'',va:'',t10:'',t12:'',age:'',maths:''});
const set=k=>e=>setV(o=>({...o,[k]:e.target.value}));
const num=k=>parseFloat(v[k]);
const sa=num('sa'),mcq=num('mcq'),va=num('va');
const ipmiVal=(!isNaN(sa)&&!isNaN(mcq)&&!isNaN(va))?sa+mcq+va:num('ipmi');
const scores={ipmi:ipmiVal,ipmr:num('ipmr'),jip:num('jip'),cuet:num('cuet'),npat:num('npat'),set:num('set'),iimb:num('iimb'),jeem:num('jeem')};
const t10=num('t10'),t12=num('t12'),age=num('age'),maths=v.maths;
const anyScore=Object.values(scores).some(x=>!isNaN(x));
const groups=[...new Set(UGD.P.map(p=>p.group))].filter(g=>!grp||g===grp);
let clears=0,total=0;
const inp=(k,ph,w)=>;
const groupEls=groups.map(g=>{
const cards=UGD.P.filter(p=>p.group===g).map(p=>{
const [exLabel,exMax]=UGD.exams[p.exam]; const s=scores[p.exam]; const floor=p.cut[cat];
let badge=null;
if(p.sectional){
const f=p.sect[cat];
if(!f) badge=ℹ no separate {cat} floor reported;
else if(isNaN(sa)||isNaN(mcq)||isNaN(va)) badge=↑ enter your three Indore sectional marks to check;
else{ total++;
const chk=[['QA short-ans',sa,f[0]],['QA-MCQ',mcq,f[1]],['Verbal',va,f[2]]]; const fails=chk.filter(x=>x[1]x[1]/x[2]));
if(!fails.length){clears++; badge=✓ clears all three {cat} floors · chance: {minRatio>=1.25?'Strong':'Fair'};}
else badge=✗ below the {cat} floor in {fails.map(x=>x[0]+' ('+x[1]+' vs '+x[2]+')').join(', ')} · chance: {minRatio>=0.9?'Slim':'Unlikely'};
}}
else if(floor==null) badge=ℹ no published cutoff — see note;
else if(p.scale) badge=ℹ cutoff is on the {p.scale} — not comparable with raw marks;
else{ total++; if(!isNaN(s)){ const c=ugChanceFor(p,cat,s);
if(s>=floor){clears++;badge=✓ clears cutoff · chance: {c[0]};}
else badge=✗ {floor-s} marks short · chance: {c[0]};}}
let warn=[];
if(!isNaN(age)&&/age 20/i.test(p.elig)&&age>20&&!(cat==='SC'||cat==='ST'||cat==='PwD')) warn.push('age limit 20');
if(!isNaN(age)&&/age 21/i.test(p.elig)&&age>21) warn.push('age limit 21');
if(maths==='n'&&/(Maths|PCM)/.test(p.elig)&&/(compulsory|mandatory|required|Maths in|PCM|with Maths)/.test(p.elig)) warn.push('needs Maths in Class 12');
if(!isNaN(t12)&&/60% in Class 1(0 and 1)?2/.test(p.elig)&&t12<((cat==='SC'||cat==='ST'||cat==='PwD')?55:60)) warn.push('below the Class 12 % floor');
if(!isNaN(t10)&&/60% in Class 10/.test(p.elig)&&t10<((cat==='SC'||cat==='ST'||cat==='PwD')?55:60)) warn.push('below the Class 10 % floor');
let comp=null;
if(p.w&&!isNaN(s)&&exMax&&(!isNaN(t10)||!isNaN(t12))){
const parts=[[p.w[0],s/exMax*100],[p.w[1],t10],[p.w[2],t12]]; let n=0,d=0;
parts.forEach(([w,val])=>{if(w>0&&!isNaN(val)){n+=w*val;d+=w;}});
if(d){const sc=n/d;
const lab=[['Exam',p.w[0]],['X',p.w[1]],['XII',p.w[2]]].filter(x=>x[1]>0).map(x=>x[0]+' '+x[1]+'%').join(' · ')+(p.w[3]?' · then interview '+p.w[3]+'%':'')+(p.w[4]?'':' · assumed');
comp=
{sc.toFixed(1)}/100
{lab}
;}}
const floorTxt=p.sectional?
(p.sect[cat]?{(p.est?'≈ ':'')+p.sect[cat].join(' / ')} sectional floors: QA-SA /60 · QA-MCQ /120 · Verbal /180 · {cat} — no overall cutoff:sectional floors for {cat} not reported):
floor==null?cutoff not published:
{(p.est?'≈ ':'')+floor} {p.scale?'('+p.scale+')':(exMax?'/ '+exMax:'')} · {exLabel} · {cat};
return
{exLabel} · {p.years}-yr
{p.name}
{p.programme}
{floorTxt}
{comp}
Seats {p.seats??'—'} · Fees {p.fees}
Eligibility {p.elig}
{badge}{warn.length?⚠ {warn.join(' · ')}:null}
{p.cutNote} {p.note}
;});
return
{g}
{cards}
;});
return
Check your fit
Enter whichever exam scores you have (or are targeting), your category and your board marks. Each programme's card compares you with its latest published cutoff and — where the institute publishes selection weights — scores your overall profile.
← IIM Indore, Amritsar and Shillong shortlist on sectional floors, not a total — enter these three and each is checked; the total fills itself for Ranchi / IIFT / Nirma / Sambalpur, which use the overall score
{anyScore?('You clear the published shortlist cutoff at '+(()=>{let c=0,t=0;groups.forEach(g=>UGD.P.filter(p=>p.group===g).forEach(p=>{
if(p.sectional){const f=p.sect[cat];if(f&&!isNaN(sa)&&!isNaN(mcq)&&!isNaN(va)){t++;if(sa>=f[0]&&mcq>=f[1]&&va>=f[2])c++;}}
else if(p.cut[cat]!=null&&!p.scale){t++;const s=scores[p.exam];if(!isNaN(s)&&s>=p.cut[cat])c++;}
}));return c+' of the '+t;})()+' programmes that publish one (for your category and the exams you entered).'):'Enter a score to light the cards up. Age and maths flags appear automatically once you fill those in.'}
{groupEls}
How to read the cards. The big number is the latest published shortlist cutoff for your category on that programme's exam (≈ marks an estimate or a prior-year figure). Green / red compares your score with it. The profile score blends your exam percentage-of-maximum with your Class 10 and 12 marks on the institute's published weights (interview weight excluded, since that happens later) — it's a comparison tool across programmes, not an admission probability.