Two passing leaders for each team

[paulz1]

Probably I do something wrong... but here is my problem.
I try to find 2 passing leaders for each team for each season.

I have a list of all teams, so I do a loop over all teams and all years.

years=range(2009,2016)
for cur_year in years :
    print cur_year
    for cur_team in all_teams :
        print cur_team
        cur_query=nfldb.Query(db)
        cur_query.game(season_year=cur_year, season_type='Regular',team=cur_team)
        cur_query.player(team=cur_team)
        for pp in cur_query.sort('passing_yds').limit(2).as_aggregate():
            print pp.player, pp.passing_yds
        print "______________"

For the moment I have at least two problems with 2015 season.

a) No data for STL;
b) No data for DEN

Probably because Case Keenum play now for LA and Nick Foles for KC.
The same for Denver, because Peyton Manning marked as UNK.

I could remove the line cur_query.player(team=cur_team),
but in this case I get not the two bests passers of the team, but the best passer of the team and his best opponent passer for this season.

Example for 2015 for NYJ I got :

NYJ
Ryan Fitzpatrick (NYJ, QB) 3905
Tom Brady (NE, QB) 586

So, probably it's not an issue... but may be you could give a clue how I could solve this problem?

[sansbacon]

it might relate to this:

game.players is a list of tuples of player data. The first element is the team the player was on during the game and the second element is a Player object corresponding to that player's meta data (including the team he's currently on).

Cur_team is the team the player is currently on, not necessarily the team he was on when the game was played?