My amateur intepretation of what Wikipedia says:
Treynor Ratio = E(r_i - r_f) / beta_i
Sharpe Ratio = E(r_i - r_f) / D(r_i - r_f)
r_i - r_f = Excess portfolio return (r_i is portfolio return, r_f is risk free return)
beta_i: Portfolio beta
E, D: expected value, standard deviation
A very (with benchmark) uncorrelated portfolio is going to have a large Treynor ratio, which is also proportional to expected excess portfolio return. E.g. |T.R| > 1000 not uncommon for intraday algos. Note that if your correlation with benchmark is negative, Treynor Ratio will be negative too (not necessarily a problem, only if your excess return is negative).
As for Sharpe Ratio relation to drawdowns, a single occurrence event can cause a huge drawdown but contribute moderately to volatility since it only happened once... That's why drawdown is an interesting number in its own right.