Who is already waiting with great anticipation?

They usually post the new players 7-10 days after the regular season ends.

I am aware though I do remember one year when it was months. Its the best when they suddenly appear, however.

This years DeGrom is going to be ungodly as a high cap LR guy

yes

I'm curious as to how the SIM will approach Ohtani. Is there any way currently to utilize a pitcher as DH?

I also can't wait to see deGrom, Soto, and Harper's prices.

Absolutely waiting with great anticipation... Looking forward to drafting Chris Flexen, Logan Webb, and Elias Diaz, and figuring out how to best fit Javy Baez Mets split into a platoon at SS.

Ohtani will just be a DH

Posted by just4me on 10/5/2021 3:20:00 PM (view original):
Absolutely waiting with great anticipation... Looking forward to drafting Chris Flexen, Logan Webb, and Elias Diaz, and figuring out how to best fit Javy Baez Mets split into a platoon at SS.

are you kin to those guys or something? what a random list of names haha

Posted by 06gsp on 10/5/2021 4:28:00 PM (view original):

Posted by just4me on 10/5/2021 3:20:00 PM (view original):
Absolutely waiting with great anticipation... Looking forward to drafting Chris Flexen, Logan Webb, and Elias Diaz, and figuring out how to best fit Javy Baez Mets split into a platoon at SS.

are you kin to those guys or something? what a random list of names haha

Just some guys who appear to have a good combo of stats to provide good value. Bargain options with upside, if you will.

Mostly play lower caps and these guys should fit in well. And when I play higher caps my kick right now is cheap pitching with lots of offense, so this works there, too.

Curious where a couple of low AB Tigers will be priced.

Dustin Garneau might be expensive depending on his arm, but .210/.250/.581 line with 6 HR and 5 doubles over 68 PAs might be nice when you need an XBH at a + singles ballpark.

edit: 36% CS%, might be an A+ arm with $12k/PA

And then Renato Nunez at .189/.218/.472 with 3 doubles and 4 homers over 53 ABs might be a value at 200k.

Are there any other PHer types I’m missing?

77PA 71 AB does that make it?

OF/1B 2 HR 6 RBI. 2 SB. 324/364/479. Matt Vierling

PH types:

Matt Vierling: 77 PA .324/.364/.479
Kyle Isbel: 83 PA .276/337/.434
Riley Adams: 90 PA .268/.422/.465

*Mike Trout: 146 PA .333/.466/.624

Platoon options:

Byron Buxton: 254 PA .309/.429/.615
Frank Schwindel (Cubs Split): 239 PA .342/.389/.613
Frank Schwindel (Combined): 259 PA .326/.371/.591
Brandon Belt: 381 PA .274/.378/.597
Ronald Acuna: 360 PA .283/.394/.596
Kyle Schwarber (WSN Split): .253/.340/.570
Luis Robert: 296 PA .338/.378/.567
Tyler O'Neill: 537 PA .286/.352/.560
Corey Seager: 409 PA .306/.304/.521
Ketel Marte: 374 PA .318/.377/.532
Starling Marte (OAK Split): 251 PA .312/.355/.462
Starling Marte (MIA Split): 275 PA .305/.405/.451

here is the full list of pitchers that met my criteria, though, for price purposes, I figure only those from Nola and below will meet my price targets:

Player	Tm	IP	Lg	G	GS	CG	SHO	GF	W	L	W-L%	SV	H	R	ER	BB	SO	ERA	FIP	WHIP	K%	BB%	ERA+	BAbip	HR	BF	AB	2B	3B	IBB	HBP	SH	SF	GDP	SB	CS	PO	BK	WP	BB/9	HR/9	BA	OBP	SLG	OPS	OPS+	Pit
Jacob deGrom	NYM	92.00	NL	15	15	1	1	0	7	2	0.778	0	40	14	11	11	146	1.08	1.24	0.55	45.10%	3.40%	373	0.213	6	324	310	13	2	0	1	0	2	3	5	1	0	0	0	1.08	0.59	0.129	0.161	0.242	0.402	12	1226
Max Scherzer	TOT	179.10	NL	30	30	1	0	0	15	4	0.789	0	119	53	49	36	236	2.46	2.97	0.87	34.10%	5.20%	166	0.249	23	693	644	21	2	0	10	2	1	7	6	7	0	0	2	1.81	1.15	0.185	0.239	0.331	0.570	58	2811
Corbin Burnes	MIL	167.00	NL	28	28	0	0	0	11	5	0.688	0	123	47	45	34	234	2.43	1.63	0.94	35.60%	5.20%	176	0.309	7	657	612	17	3	0	6	1	4	7	18	2	0	0	5	1.83	0.38	0.201	0.249	0.273	0.521	44	2594
Brandon Woodruff	MIL	179.10	NL	30	30	0	0	0	9	10	0.474	0	130	54	51	43	211	2.56	2.96	0.97	29.80%	6.10%	166	0.264	18	708	650	16	3	0	7	4	4	10	3	5	0	0	2	2.16	0.90	0.200	0.256	0.317	0.573	57	2810
Walker Buehler	LAD	207.20	NL	33	33	0	0	0	16	4	0.800	0	149	61	57	52	212	2.47	3.16	0.97	26.00%	6.40%	165	0.250	19	815	747	36	2	2	6	7	3	17	12	3	1	0	5	2.25	0.82	0.200	0.256	0.329	0.586	61	3152
Zack Wheeler	PHI	213.10	NL	32	32	3	2	0	14	10	0.583	0	169	72	66	46	247	2.78	2.59	1.01	29.10%	5.40%	150	0.291	16	849	785	29	3	1	8	7	3	10	4	3	0	0	6	1.94	0.68	0.215	0.265	0.321	0.586	62	3203
Julio Urias	LAD	185.20	NL	32	32	0	0	0	20	3	0.870	0	151	67	61	38	195	2.96	3.13	1.02	26.20%	5.10%	138	0.276	19	745	691	33	0	3	7	7	2	7	2	3	1	1	2	1.84	0.92	0.219	0.266	0.349	0.614	68	2786
Clayton Kershaw	LAD	121.20	NL	22	22	0	0	0	10	8	0.556	0	103	51	48	21	144	3.55	3.00	1.02	29.50%	4.30%	115	0.292	15	488	460	22	1	0	3	3	0	8	7	5	4	1	7	1.55	1.11	0.224	0.262	0.374	0.636	74	1806
Chris Bassitt	OAK	157.10	AL	27	27	1	1	0	12	4	0.750	0	127	55	55	39	159	3.15	3.34	1.06	25.00%	6.10%	130	0.271	15	637	583	29	1	1	11	0	4	8	7	3	0	1	5	2.23	0.86	0.218	0.278	0.348	0.626	76	2381
Adam Wainwright	STL	206.10	NL	32	32	3	1	0	17	7	0.708	0	168	72	70	50	174	3.05	3.66	1.06	21.00%	6.00%	127	0.257	21	828	765	34	2	3	9	3	1	12	3	3	0	1	4	2.18	0.92	0.220	0.275	0.352	0.627	79	3068
Gerrit Cole	NYY	181.10	AL	30	30	2	1	0	16	8	0.667	0	151	69	65	41	243	3.23	2.92	1.06	33.50%	5.70%	133	0.305	24	726	677	27	1	0	2	0	6	15	9	0	1	1	5	2.03	1.19	0.223	0.267	0.372	0.639	74	2969
Jose Berrios	TOT	192.00	AL	32	32	1	0	0	12	9	0.571	0	159	83	75	45	204	3.52	3.47	1.06	26.10%	5.80%	122	0.278	22	781	714	40	3	0	15	2	5	11	2	5	3	0	3	2.11	1.03	0.223	0.281	0.380	0.661	81	3043
Sandy Alcantara	MIA	205.20	NL	33	33	1	0	0	9	15	0.375	0	171	85	73	50	201	3.19	3.42	1.08	24.00%	6.00%	131	0.273	21	837	768	40	3	2	10	6	3	17	13	5	1	1	6	2.19	0.92	0.223	0.278	0.365	0.643	78	3095
Max Fried	ATL	165.20	NL	28	28	2	2	0	14	7	0.667	0	139	61	56	41	158	3.04	3.31	1.09	23.70%	6.20%	145	0.281	15	667	612	28	2	0	7	4	3	12	8	3	6	0	7	2.23	0.81	0.227	0.282	0.353	0.635	70	2558
Anthony DeSclafani	SFG	167.20	NL	31	31	2	2	0	13	7	0.650	0	141	61	59	42	152	3.17	3.62	1.09	22.50%	6.20%	129	0.268	19	676	626	22	2	1	2	6	0	12	7	4	0	0	7	2.25	1.02	0.225	0.276	0.358	0.634	75	2558
Logan Webb	SFG	148.10	NL	27	26	0	0	0	11	3	0.786	0	128	53	50	36	158	3.03	2.72	1.11	26.50%	6.00%	135	0.312	9	596	546	22	2	0	8	3	3	18	10	1	1	0	2	2.18	0.55	0.234	0.290	0.332	0.622	74	2214
Aaron Nola	PHI	180.20	NL	32	32	1	1	0	9	9	0.500	0	165	95	93	39	223	4.63	3.37	1.13	29.80%	5.20%	90	0.310	26	749	696	29	5	1	9	3	2	12	7	2	1	1	0	1.94	1.30	0.237	0.286	0.405	0.691	90	2971
Marcus Stroman	NYM	179.00	NL	33	33	0	0	0	10	13	0.435	0	161	70	60	44	158	3.02	3.49	1.15	21.60%	6.00%	133	0.289	17	730	665	23	3	2	7	6	8	17	10	7	0	0	7	2.21	0.85	0.242	0.293	0.362	0.655	84	2741
Logan Gilbert	SEA	119.10	AL	24	24	0	0	0	6	5	0.545	0	112	63	62	28	128	4.68	3.73	1.18	25.50%	5.60%	89	0.295	17	503	464	30	2	2	6	2	3	3	10	0	0	0	9	2.11	1.28	0.241	0.291	0.425	0.716	99	2125
Nathan Eovaldi	BOS	182.10	AL	32	32	0	0	0	11	9	0.550	0	182	81	76	35	195	3.75	2.79	1.19	25.50%	4.60%	126	0.327	15	764	719	54	4	2	7	1	2	11	10	0	0	0	6	1.73	0.74	0.253	0.294	0.402	0.696	83	2927
Hyun Jin Ryu	TOR	169.00	AL	31	31	1	1	0	14	10	0.583	0	170	85	82	37	143	4.37	4.02	1.22	20.40%	5.30%	100	0.296	24	701	658	38	3	0	2	1	3	15	1	1	1	0	2	1.97	1.28	0.258	0.299	0.435	0.733	98	2689
Sean Manaea	OAK	179.10	AL	32	32	2	2	0	11	10	0.524	0	179	79	78	41	194	3.91	3.66	1.23	25.70%	5.40%	104	0.318	25	754	702	33	2	0	9	1	1	10	3	2	0	1	5	2.06	1.25	0.255	0.304	0.415	0.719	100	2980
Zach Eflin	PHI	105.20	NL	18	18	0	0	0	4	7	0.364	0	116	52	49	16	99	4.17	3.68	1.25	22.40%	3.60%	100	0.328	15	442	421	29	2	2	3	1	1	13	1	0	0	0	2	1.36	1.28	0.276	0.306	0.461	0.767	110	1615
Chris Flexen	SEA	179.20	AL	31	31	0	0	0	14	6	0.700	0	185	74	72	40	125	3.61	3.89	1.26	16.90%	5.40%	115	0.300	19	741	690	34	5	0	4	0	7	22	4	1	3	0	2	2.00	0.95	0.268	0.309	0.415	0.724	102	2811
Chris Paddack	SDP	108.10	NL	23	22	0	0	0	7	7	0.500	0	115	67	61	22	99	5.07	3.78	1.27	21.60%	4.80%	77	0.317	15	459	427	22	4	1	1	7	2	7	5	2	0	0	2	1.83	1.25	0.269	0.305	0.445	0.750	111	1869
Cole Irvin	OAK	178.10	AL	32	32	0	0	0	10	15	0.400	0	195	94	84	42	125	4.24	4.30	1.33	16.30%	5.50%	96	0.305	23	768	710	35	1	0	9	4	2	18	2	1	1	0	3	2.12	1.16	0.275	0.322	0.424	0.746	108	2682
Antonio Senzatela	COL	156.20	NL	28	28	0	0	0	4	10	0.286	0	178	84	77	32	105	4.42	3.61	1.34	15.70%	4.80%	108	0.326	12	670	620	39	4	1	9	3	6	19	3	1	0	2	4	1.84	0.69	0.287	0.328	0.421	0.749	97	2405