Table 2.

Discriminant analyses between the match score for each group with log-transformed variables (matches with penalties (^P) and without penalties (^S)) * p < .05; ** p < .01; ***p < .001

	Structure coefficients		Eigenvalue				Wilk´s Lambda				Box	% Original sample	% Cross-validation
	SC1	SC2	Eigenvalue		Can.	Corr.	Wilks´s Lambda		Sig.		Sig.	TOTAL	TOTAL
log(PATS/PATIP)	.344	.907
log(PATS/PATIP)	.992		.265	.005	.457	.067	.787	.995	.001**	.807	.831	49.5	40.4
log(PATS/PATIP)
log(PATPE/PATIP)
log(PATS/PATIS)	.939	-.344	.138	.002	.349	.042	.877	.998	.065	.729	.541	39.4	38.0
log(PATCO/PATIS)	.634	.773
log(PG/PLSP)	.884
log(PEX/PPLSP)		.382
log(PPEN/PLSP)			.682	.070	.637	.256	.556	.934	.000***	.163	.798	60.4	52.5
log(PFO/PLSP)		.991
log(PPER/PLSP)
log(PG/PLSS)	.926
log(PEXP/PLSS)	.614	.649	.688	.067	.639	.250	.555	.937	.000***	.213	.855	66.2	58.1
log(PFO/PLSP)
log(PPER/PLS)		.604
log(PLSU/PLI )		.704
log(PLCO/PLIP)	.997		.392	.024	.531	.152	.702	.977	.000***	.352	.533	51.1	46.8
log(PLPE/PLIP)		.809
log(PLSU/PLIS)	.662	.750	.358	.000	.513	.014	.736	1.000	.001**	.909	.699	50.0	47.1
log(PLCO/PLIS)	.827	-.562
log(PL1/PL6)	.391	.508
log(PL2/PL6)	.728	.584
log(PL3/PL6)	.680		.197	.032	.406	.175	.810	.969	.001**	.373	.387	43.7	37.3
log(PL4/PL6)	.784	.317
log(PL5/PL6)		.794
log(PL1F/PLD)	.481	.872
log(PL2FPLD)	.851		.133	.025	.342	.156	.861	.976	.017*	.279	.492	49.1	44.4
log(PLM2F/PLD)	.639