It looks like it has. They seem to be scoring more runs than their OBP and SLG would normally indicate. The following equation shows the relationship between team runs per game and OBP & SLG for all teams from 2007-09:
R/G = 11.595*SLG + 16.04*OBP - 5.52
The Rays have a .338 OBP & a .410 SLG. That predicts 4.66 runs per game yet they are actually scoring 5.11. That is .45 more than expected and the next highest positive differential is about .30 for the Padres
I then used an equation which included GDPs, SBs and CSs per game. It was
R/G = -0.0556*GDP - 0.182*CS + 0.105*SB + 11.19*OBP + 16.34*SLG - 5.43
That predicted that the Rays would score 4.71 runs per game, still well below their rate of 5.11. Then I added in 4 other baserunning variables: the % of runners on first who make it to third on a single (13%), bases taken, like on fly balls and wild pitches (BT), reaching on errors (ROE), and outs on base, like getting thrown out trying for an extra base (data from Baseball Reference). The last three were all per game.
Here is the equation:
R/G = -.025*GDP - .347*CS + .083*SB + 11*SLG + 14.59*OBP + 1.17*13% + .359*BT - .426*OOB + . 699*ROE - 5.48
Plugging in all of the Rays data would predict 4.87 runs per game. That jumps us alot closer to the 5.11. Adding in all of the baserunning data closes almost half the original gap of .45 between their actual runs and predicted runs.
I also tried breaking down OBP & SLG into cases of none on and runners on base (ROB). Here is the equation:
R/G = 7.83*ROBSLG + 9.26*ROBOBP + 3.66NONESLG + 8.53*NONEOBP - 6.12
Notice how SLG is twice as important with runners on than with none on. With none on, the Rays have an OBP & SLG of .322 & .396. With ROB, they have .357 & .429. Plugging all that in to the equation predicts 4.74 runs per game. That is .08 higher than the very first equation reported (4.65). So if we combined that with the findings from baserunning, we would probably get something over 4.87 and we have a good idea why the Rays are scoring so many runs this year.