2022 Panini Soccer Donruss Elite Fifa

Break Analyzer Report

4614Total cards
779Hits
3839Numbered
7621-of-1s
26Teams

Your break

2022 Panini Soccer Donruss Elite Fifa

Highlights

The standout pulls, ranked.

Most total cards

Teams projected to receive the most cards
  1. 1United States407
  2. 2Germany303
  3. 3France285

Most numbered

Most serial-numbered cards
  1. 1United States335
  2. 2Germany257
  3. 3France236

Most 1/1s

Most one-of-one cards
  1. 1United States59
  2. 2Germany54
  3. 3France47

Most autos

Most autograph cards
  1. 1Juventus6
  2. 2FC Barcelona6
  3. 3Germany6

Most hits

Autos + relics + 1/1s combined
  1. 1United States59
  2. 2Germany58
  3. 3France47

Fewest total cards

Teams least likely to appear
  1. 1Italy107
  2. 2Sporting CP119
  3. 3Shakhtar Donetsk119

Best hit density

Most hits per 100 cards
  1. 1FC Barcelona22.2/100
  2. 2Juventus20.3/100
  3. 3AC Milan20.3/100

Hidden value

Hit share beats card share by 2+ points

No hidden-value teams in this break — hit share tracks card share closely across the board.

Top players in this break

Most hits across every team
  1. 1Julian Alvarez — Argentina18
  2. 2Phil Foden — Manchester City15
  3. 3Mykhailo Mudryk — Chelsea FC14

All teams

Hover any column header for what it means. Click a row for player detail.
Team
Count info
#d info
Hits info
Autos info
Relics info
RCs info
1/1s info
Card % info
Hit % info
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/199 info
United States407335590034598.8%7.6%5900145211158211145110210010441000220022000000000000000000000001001001101111112211120100200
Germany30325758600546.6%7.4%5412127101056000027011100020261000130013010000005000000000000001012000111010000301011110052
France285236470017476.2%6%4701128011146120128010110000291000140014000000001000000000000001100001101001021111100100002
Argentina274225470017475.9%6%4700026011148101026100110011271000130013000000001000000000000001111001100100101111100000000
England22218537000374.8%4.7%3705123210132000022010210100220000110011000000001000000000000000000101101000000110100120100
FC Barcelona203171456017414.4%5.8%41020183211360000160012011101600008008010000003000000000000000001110010000000111110000000
Chelsea FC193160380034384.2%4.9%38000160000380000171101000101611018008000000003000000000001011001000101110000000000000001
Juventus187158386034344.1%4.9%34020182111300001160111100001600008008000010005000010000000000000001011001000110101000001
Real Madrid18415437300364%4.7%36020161111320100170000110001600008008010000003000000000000000000011000010010011100000100
FC Internazionale Milano170141240017243.7%3.1%24100180001250001180000100111800009009100001001000100010000000011001000001000210000001001
Manchester City169141330017333.7%4.2%33000140011330000140201000001400007107000000014010000000100000000000102000000011000000010
Liverpool FC164138280034283.6%3.6%28011170000241000160001000001611108008001100000000001100000111000000000000001100000100121
AFC Ajax162133310017313.5%4%31111140001310000150000001001500007007000000000000000000000000100100000010000110000111000
AC Milan158134326017293.4%4.1%29041143111240000140101000001400107007000000004000000000000100000000101000000011100100000
Manchester United158135323017313.4%4.1%31040151010240101140001010001500007007000000003100000000000000100010000001010201000000010
AS Roma135112200017202.9%2.6%20010140101201000140000010001400007007100000003100000010000000000010000000001010100010000
Korea Republic134110200017202.9%2.6%20001141101201000140010000001500007007000000000000000000000000100000010000001010110100000
SL Benfica134110210017212.9%2.7%21000140110201100140000000001400007027000000000000000002000000000000000000011001100000010
Atletico de Madrid13210920000202.9%2.6%20010141011180010141000000111400007007000000000000000000000000011000000100100011010000000
Czechia131110180017182.8%2.3%18100150101190000140000011001400007007000000004000000000000000000110000000000110101001000
FC Porto124102170017172.7%2.2%17000140101161010140000000001400008007000000100001000000010000000000000000101010100000010
Spain12110120000202.6%2.6%20021121001170100120000000101310006006000000000000000000000001101000000000010110000100000
Sporting CP11998140017142.6%1.8%14000150000151000140200000001500107007000000000000000000000100100000002000001100001000000
Shakhtar Donetsk11998140017142.6%1.8%14100141010140001140010011001400007007000000000000000000000000000110010001000001010001000
Olympique de Marseille11998150017152.6%1.9%15000141100150000140000000001400028007000000000000000000012000000000000000000100110000010
Italy10788140017142.3%1.8%14000121010151000120010000101200006006000000000000000000000000001000010000001101010000000
18 more below
Card % and Hit % describe the checklist, not the odds. They show each team's share of what's printed in these sets — exact from the checklist. They are not the probability of pulling a card, which would require print runs Panini doesn't publish.

Methodology

Card % / Hit % — share, not odds. Card % and Hit % are each team's share of the checklist — the cards printed in these sets — computed exactly from what's listed. They are not the probability of pulling any given card, which would require print runs Panini doesn't publish.

Implied value. "Value" here means checklist-defined scarcity, not market price — a card counts as a hit if it's serial-numbered, an autograph, or a memorabilia relic. Packaddx doesn't price cards, so these numbers describe what's printed, not what it's worth.

Multi-team cards. A card printed with more than one team (e.g. a dual-team insert) counts under every team it's printed for, so per-team totals can add up to more than the break's overall card count. Each physical card is still only counted once in the break's totals.

Team attribution. A card is attributed to whichever team is printed on it at the time of the set's release — not a player's current or most recent team.