Queen's Gambit Accepted: Smyslov Variation

White Gambit

Source Lichess

Play This+5%
All Ratings
Minimum Advantage+4.8%

White wins at least 4.8% more often than loses

Rating TrendPeak: +6.6% at 2000-2199
Win%50.5%
Games29K
Breakpoint (Overall)1000-1199
4...g6
Queen's Gambit Accepted: Smyslov VariationWhite Gambit
Rating
Time Control

Does Queen's Gambit Accepted: Smyslov Variation work for White at All Ratings?

Snapshot

At All Ratings, Queen's Gambit Accepted: Smyslov Variation gives White a +4.8% minimum advantage (90% confidence). This gambit is effective.

RatingMin AdvWhite WinDrawWhite LossGames
0-999+3.5%54.2%2.3%43.5%499
1000-1199-3.8%48.7%3.2%48.0%1.3K
1200-1399+3.8%52.1%3.0%44.9%2.4K
1400-1599+1.9%50.2%4.1%45.7%4.0K
1600-1799-0.1%48.9%4.1%47.0%6.0K
1800-1999+4.0%50.3%5.5%44.2%6.1K
2000-2199+6.6%51.9%5.2%42.9%4.7K
2200-2499+5.8%50.7%7.2%42.0%3.2K
2500++2.2%50.2%7.8%42.0%773
Full Opening StatsSee rating/time-control breakdowns for White on the opening stats page
Analyze Queen's Gambit Accepted: Smyslov Variation PositionsGet move-by-move win rates with the TrueElo analyzer

Frequently Asked Questions

Is the Queen's Gambit Accepted: Smyslov Variation sound?

The Queen's Gambit Accepted: Smyslov Variation breaks at 1000-1199 overall (all time controls)—the first rating bracket where White no longer statistically wins more than loses. Below this rating, the gambit is viable for White. Note: breakpoints vary by time control—use the filters above for specific data.

What is the Queen's Gambit Accepted: Smyslov Variation win rate?

The Queen's Gambit Accepted: Smyslov Variation has a 50.5% (90% CI: 50.0%-51.0%) win rate for White overall, with a 4.8% draw rate and 44.7% loss rate. This is based on 29K games from Lichess.

What is the best rating to play the Queen's Gambit Accepted: Smyslov Variation?

The Queen's Gambit Accepted: Smyslov Variation performs best at 2000-2199, where White has a minimum advantage of +6.6%. This means we're 90% confident White wins at least 6.6 percentage points more than they lose at this rating.

Is the Queen's Gambit Accepted: Smyslov Variation better in blitz or rapid?

Blitz (+7.3% edge) outperforms Classical (+-21.2% edge) by 28.5 percentage points. Faster time controls typically favor gambits because opponents have less time to find accurate defenses.

Does the Queen's Gambit Accepted: Smyslov Variation breakpoint vary by time control?

Yes, significantly. Breakpoints by time control: Bullet: 0-999, Blitz: 1000-1199, Rapid: 0-999, Classical: Never. "Never" means the gambit remains viable through all rating brackets in that time control. Faster time controls typically extend viability.

How sharp is the Queen's Gambit Accepted: Smyslov Variation?

The Queen's Gambit Accepted: Smyslov Variation is extremely sharp with only 4.8% draws—95.2% of games end decisively. This makes it an excellent choice when you need to play for a win rather than accept a draw.

Should I play the Queen's Gambit Accepted: Smyslov Variation?

If you're below 1000-1199 overall, the Queen's Gambit Accepted: Smyslov Variation is statistically favorable for White. Above that rating, opponents defend better and the gambit's edge disappears. Consider your typical opponents' level and the time control—faster games extend the gambit's viability.

How do I defend against the Queen's Gambit Accepted: Smyslov Variation?

As Black, the Queen's Gambit Accepted: Smyslov Variation becomes easier to defend at 1000-1199 and above. Key principles: accept the material but develop quickly, castle early, trade pieces to reduce attacking potential, and return material at the right moment to neutralize the initiative. In faster time controls, the gambit is harder to defend—consider declining or transposing if you're not prepared.

How reliable is the Queen's Gambit Accepted: Smyslov Variation data?

This analysis is based on 29K games from Lichess. All statistics include 90% confidence intervals. Generally, 300+ games provide statistically meaningful results. Rating-specific and time-control-specific breakdowns have their own sample sizes shown in the table above.