2017 Panini Soccer Select

Break Analyzer Report

5742Total cards

1823Hits

4384Numbered

6261-of-1s

43Teams

Your break

2017 Panini Soccer Select

Highlights

The standout pulls, ranked.

inventory_2 Most total cards Teams projected to receive the most cards
1England297
2Spain255
3United States254
tag Most numbered Most serial-numbered cards
1England238
2Spain200
3Italy197
looks_one Most 1/1s Most one-of-one cards
1England35
2Italy30
3Spain30
edit Most autos Most autograph cards
1England69
2Italy59
3United States58
whatshot Most hits Autos + relics + 1/1s combined
1Italy146
2England140
3Germany121
visibility_off Fewest total cards Teams least likely to appear
1Turkey1
2Hungary1
3Chile1
speed Best hit density infoMost hits per 100 cards
1Ireland100/100
2Paraguay100/100
3Czech Republic100/100
visibility Hidden value infoHit share beats card share by 2+ points
1Italy+3.9pp
2Germany+2.7pp
3England+2.5pp
star Top players in this break infoMost hits across every team
1Cristiano Ronaldo — Portugal27
2Alvaro Morata — Spain26
3Alfred Finnbogason — Iceland25

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	/1 info	/5 info	/7 info	/10 info	/12 info	/15 info	/16 info	/20 info	/25 info	/28 info	/30 info	/35 info	/40 info	/45 info	/46 info	/49 info	/60 info	/65 info	/75 info	/95 info	/99 info	/100 info	/125 info	/149 info	/199 info	/249 info	/299 info
England	297	238	140	69	97	0	35	5.2%	7.7%	35	33	0	35	0	0	0	17	11	0	26	0	0	0	0	9	6	0	13	0	9	0	6	8	16	7	7

Spain	255	200	120	43	91	0	30	4.4%	6.6%	30	28	1	30	1	1	1	16	9	0	23	0	0	0	0	3	4	0	15	0	3	1	6	3	15	3	7

United States	254	193	86	58	32	0	29	4.4%	4.7%	29	24	0	30	0	1	0	16	14	0	16	1	0	0	0	5	8	0	10	0	3	1	9	5	8	5	8

France	242	186	77	38	49	0	27	4.2%	4.2%	27	26	0	27	0	0	0	18	11	0	19	0	0	0	0	5	7	0	7	0	5	0	4	8	8	8	6

Portugal	239	184	96	42	61	0	29	4.2%	5.3%	29	24	3	26	2	2	1	16	10	0	17	0	0	0	0	4	4	0	12	0	2	0	6	4	10	4	8

Italy	238	197	146	59	112	0	30	4.1%	8%	30	29	0	30	0	0	0	10	6	0	25	0	0	0	0	8	3	0	15	0	7	1	5	3	15	4	6

Germany	224	180	121	54	98	0	29	3.9%	6.6%	29	25	1	28	1	0	1	12	7	0	20	0	1	0	0	5	4	0	11	0	5	0	5	4	11	6	4

Netherlands	221	170	83	28	60	0	24	3.8%	4.6%	24	23	0	23	0	1	0	14	10	0	19	0	0	0	0	3	6	0	11	0	2	1	5	6	11	5	6

Brazil	211	162	74	34	41	0	23	3.7%	4.1%	23	21	0	23	0	1	0	14	10	0	18	0	0	0	0	4	5	0	9	0	3	0	6	5	8	5	7

Chelsea FC	208	168	80	52	38	0	24	3.6%	4.4%	24	23	0	23	0	1	0	15	12	0	21	0	0	0	0	18	1	1	3	1	17	1	1	0	5	1	0

Belgium	192	149	74	21	62	0	21	3.3%	4.1%	21	21	0	21	0	0	0	12	8	1	16	0	0	1	0	2	3	1	11	0	2	1	6	4	10	3	5

Argentina	173	136	68	51	27	0	21	3%	3.7%	21	18	1	20	1	2	1	13	7	0	13	0	0	0	0	5	4	0	6	0	3	0	4	3	4	3	7

Colombia	172	132	67	23	56	0	17	3%	3.7%	17	17	0	18	0	0	0	9	8	0	16	0	0	0	0	3	4	0	9	0	3	0	4	4	9	5	6

Mexico	163	127	64	34	25	0	21	2.8%	3.5%	21	19	0	21	0	0	0	12	6	0	13	0	0	0	0	4	4	0	4	0	4	0	2	6	3	6	2

Wales	162	124	53	36	33	0	17	2.8%	2.9%	17	15	1	16	1	0	1	11	8	0	13	0	0	0	1	3	5	1	5	0	3	0	5	4	5	4	5

Switzerland	162	118	21	7	7	0	15	2.8%	1.2%	15	15	0	15	0	0	0	14	10	0	11	0	0	0	0	1	5	0	5	0	1	0	5	5	5	5	6

Northern Ireland	153	116	45	14	35	0	15	2.7%	2.5%	15	15	0	15	0	0	0	10	8	0	13	0	0	0	0	2	4	0	7	0	2	0	4	4	7	4	6

Paris Saint-Germain	153	115	23	7	7	0	17	2.7%	1.3%	17	17	1	16	1	0	1	17	11	0	11	1	0	0	0	11	0	0	0	0	11	0	0	0	0	0	0

Poland	150	112	41	17	28	0	15	2.6%	2.2%	15	14	0	15	0	0	0	10	8	0	12	0	0	0	0	2	4	0	6	0	2	0	4	4	6	6	4

FC Bayern Munich	147	111	39	0	27	0	16	2.6%	2.1%	16	16	0	16	0	0	0	12	10	0	13	0	0	0	0	10	0	0	4	0	10	0	0	0	4	0	0

Iceland	137	100	33	10	21	0	13	2.4%	1.8%	13	12	0	13	0	0	0	9	8	0	11	0	0	0	0	1	5	0	5	0	1	0	3	5	5	6	3

Real Madrid CF	131	100	39	0	28	0	15	2.3%	2.1%	15	15	0	15	0	0	0	11	8	0	12	0	0	0	0	8	0	0	4	0	8	0	0	0	4	0	0

Austria	129	96	33	17	21	0	13	2.2%	1.8%	13	12	0	13	0	0	0	9	7	0	10	0	0	0	0	2	4	0	4	0	2	0	3	4	4	6	3

Croatia	129	92	20	3	7	0	12	2.2%	1.1%	12	11	0	12	0	0	0	10	8	0	9	0	0	0	0	0	4	0	5	0	0	0	4	4	5	4	4

FC Barcelona	119	90	35	0	26	0	13	2.1%	1.9%	13	13	0	13	0	0	0	9	8	0	12	0	0	0	0	8	0	0	4	0	8	0	0	0	2	0	0

Australia	118	84	10	0	0	0	10	2.1%	0.5%	10	10	0	10	0	0	0	10	8	0	8	0	0	0	0	0	4	0	4	0	0	0	4	4	4	4	4

Juventus	111	82	17	0	7	0	11	1.9%	0.9%	11	11	0	11	0	0	0	10	9	0	10	0	0	0	0	9	0	0	1	0	9	0	0	0	1	0	0

AC Milan	109	80	11	0	0	0	11	1.9%	0.6%	11	11	0	11	0	0	0	11	9	0	9	0	0	0	0	9	0	0	0	0	9	0	0	0	0	0	0

Costa Rica	105	75	9	0	0	0	9	1.8%	0.5%	9	9	0	9	0	0	0	9	7	0	7	0	0	0	0	0	3	0	4	0	0	0	4	3	4	3	4

Borussia Dortmund	105	78	17	0	7	0	11	1.8%	0.9%	11	11	0	11	0	0	0	10	8	0	9	0	0	0	0	8	0	0	1	0	8	0	0	0	1	0	0

FC Internazionale	104	76	10	0	0	0	10	1.8%	0.5%	10	10	0	10	0	0	0	10	9	0	9	0	0	0	0	9	0	0	0	0	9	0	0	0	0	0	0

Atltico de Madrid	103	76	11	0	0	0	11	1.8%	0.6%	11	11	0	11	0	0	0	11	8	0	8	0	0	0	0	8	0	0	0	0	8	0	0	0	0	0	0

New Zealand	99	70	8	0	0	0	8	1.7%	0.4%	8	8	0	8	0	0	0	8	7	0	7	0	0	0	0	0	4	0	3	0	0	0	3	4	3	4	3

AS Roma	98	72	10	0	0	0	10	1.7%	0.5%	10	10	0	10	0	0	0	10	8	0	8	0	0	0	0	8	0	0	0	0	8	0	0	0	0	0	0

Nigeria	91	65	8	0	0	0	8	1.6%	0.4%	8	8	0	8	0	0	0	8	6	0	6	0	0	0	0	0	3	0	3	0	0	0	3	3	3	3	3

Ireland	14	13	14	7	7	0	2	0.2%	0.8%	2	2	0	2	0	0	0	0	0	0	2	0	0	0	0	1	0	0	1	0	1	0	0	0	1	0	1

Paraguay	7	7	7	7	0	0	1	0.1%	0.4%	1	1	0	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	0	0	0	1	0	0

Czech Republic	7	6	7	0	7	0	1	0.1%	0.4%	1	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0

Ivory Coast	4	2	3	3	0	0	1	0.1%	0.2%	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Bosnia-Herzegovina	3	2	3	3	0	0	1	0.1%	0.2%	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Turkey	1	0	0	0	0	0	0	0%	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Hungary	1	0	0	0	0	0	0	0%	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Chile	1	0	0	0	0	0	0	0%	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Break total	5742	4384	1823	737	1117	0	626	100%	100%	626	589	8	619	7	9	6	413	302	1	474	2	1	1	1	179	108	3	203	1	169	6	111	107	199	114	125

35 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.