About Tyler Hug
Tyler Hug is a dedicated online chess player who has shown remarkable growth and consistency primarily in the Blitz and Rapid time controls. Known for a sharp tactical eye and resilience, Tyler approaches every game with enthusiasm and a drive to improve. His preferred time control appears to be Blitz, where his games are fast-paced and competitive.
Playing Style & Strengths
Tyler has a solid and strategic approach, with a tendency towards deep endgames and a surprisingly good comeback rate. His average winning games last about 68 moves, while losses tend to stretch slightly longer, showcasing his fighting spirit. He prefers to start many of his games with 1.d4, often entering into Queen's Pawn style openings with a particular fondness for the Queen's Pawn Game and Accelerated London System.
- Early resignation rate is low at around 1% — this guy fights until the end!
- High endgame frequency, proving a knack for patient, strategic play.
- Strong win rates as White with a slight advantage over Black.
- Impressive comeback ability after losing material.
Achievements
Tyler achieved his peak ratings fairly recently, demonstrating ongoing improvement:
- Peak Rapid Rating: 2127 (2023-07-27) (reached in July 2023)
- Peak Blitz Rating: 2145 (2024-01-11) (achieved in January 2024)
- Peak Bullet Rating: 2013 (2024-06-02) (hit in June 2024)
- Peak Daily Rating: 2107 (2023-11-22) (achieved November 2023)
Favorite Openings
Tyler frequently employs solid, classical openings suited for controlling the center and flexibility.
- Queen's Gambit Declined variations, including 3.Nf3 Nf6
- King's Indian Defense structures
- Accelerated London System
- Semi-Slav Defense
- French Defense setups like 2.Nf3 d5
Notable Opponents
Tyler has faced thousands of players with many repeat opponents. Notably, he has a friendly rivalry with dylenpaone, having won over 93% of their matches. He also has a positive record against:
- noirfoxx (just under 80% wins)
- agoldfarb (over 60% wins)
- chess1million536 (about 47% wins across many games)
Fun Facts
- Tyler's favorite hour to play is around 23:00, proving he's a night owl blitz enthusiast.
- Despite being a fierce competitor, Tyler keeps a positive tilt factor, showing good mental toughness.
- He has an outstanding comeback rate of over 80%, underscoring his never-give-up attitude.
- On average, Tyler starts his games off with the move 1.d4, setting the tone for positional play.
Overall Performance and Rating Trends
Tyler, over the last few months, your rating has seen some interesting fluctuations. In the past month, you've gained 13 rating points with a positive trend slope, indicating recent improvement and increased consistency in your play. The past three months had a negative slope and a loss of rating, potentially pointing to some challenging periods or stronger opponents. Over six months, the slight positive slope shows some recovery. Your current strength adjusted win rate stands just above 50%, which means you are performing around your expected level against your opposition.
Insights from Recent Games
Reviewing your recent wins and losses provides a clearer picture of your current play style and areas to improve:
- Opening Choices: You often open with Queen's Pawn or the Closed Sicilian setups, including the Queen's Gambit Declined and Alapin Sicilian variations. You are comfortable handling classical central control themes.
- Strengths:
- Your games show good use of central pawn breaks and piece activity, such as well-timed knight and bishop maneuvers.
- You demonstrate patience and tactical awareness in complex positions, converting advantages effectively as seen in some of your wins via resignation and checkmate.
- Areas To Focus On:
- Some losses highlight endgame challenges, especially in pawn endgames and king activity. For example, in the game against Granulated Sugar, a race in the endgame saw you unable to hold the position despite material balance.
- Opening play sometimes allows the opponent to seize early initiative due to slight inaccuracies, e.g., the Sicilian lines where timing and pressure on d4 are critical.
- Managing time better in blitz could help avoid rushed moves in complex middlegame tensions, improving accuracy.
Recommendations for Improvement
- Deepen Opening Understanding:
Focus on your primary openings, such as the Queen's Gambit Declined and Sicilian structures. Understanding typical pawn breaks, piece placements, and plans will reduce early inaccuracies.
- Endgame Training:
Practice fundamental endgames and try to recognize winning patterns versus drawing techniques to improve conversion and defense skills in tight positions.
- Time Management:
In blitz, try to balance quick intuitive moves with key moments for deeper calculation. This will help limit errors in critical phases of the game.
- Analyze Losses:
Regularly review your defeats to pinpoint specific positional themes or tactical oversights that recur, and devise targeted drills to address them.
Next Steps
Consider incorporating training tools and resources that fit into your schedule. Also, try to play slower time controls occasionally to deepen your understanding and reduce blitz-specific mistakes over time.
Keep up the solid work—your recent positive monthly trend is a strong foundation to build on!
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| mandsky22164 | 0W / 1L / 0D | |
| el_tontonlover | 0W / 1L / 0D | |
| ostoja2025 | 0W / 1L / 0D | |
| jmaya2020 | 1W / 0L / 0D | |
| im_a_loser_boom | 1W / 0L / 0D | |
| knightpawn96 | 1W / 0L / 0D | |
| j_ordge | 1W / 0L / 0D | |
| aviiii001 | 1W / 0L / 0D | |
| dhfmfxj | 1W / 0L / 0D | |
| yonktodorcevic | 1W / 0L / 0D | |
| Most Played Opponents | ||
|---|---|---|
| Chess1million536 | 271W / 240L / 71D | |
| dylenpaone | 352W / 16L / 8D | |
| noirfoxx | 197W / 45L / 10D | |
| agoldfarb | 124W / 62L / 16D | |
| chessbotgw | 99W / 78L / 13D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 1758 | 1853 | 2101 | 1579 |
| 2024 | 1816 | 1950 | 2042 | 1833 |
| 2023 | 1857 | 2034 | 2107 | 1712 |
| 2022 | 1565 | 1744 | 1852 | 1610 |
| 2021 | 1465 | 1424 | 1773 | 1437 |
| 2020 | 1150 | 949 | 1207 | 936 |
| 2016 | 870 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 579W / 350L / 58D | 514W / 393L / 61D | 77.6 |
| 2024 | 1669W / 1049L / 150D | 1537W / 1167L / 170D | 74.5 |
| 2023 | 1295W / 1002L / 151D | 1167W / 1101L / 173D | 76.2 |
| 2022 | 1042W / 742L / 118D | 958W / 817L / 127D | 74.7 |
| 2021 | 1290W / 902L / 122D | 1198W / 1011L / 109D | 65.3 |
| 2020 | 139W / 74L / 13D | 129W / 82L / 9D | 61.6 |
| 2016 | 0W / 2L / 0D | 0W / 1L / 1D | 69.2 |
Openings: Most Played
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amazon Attack | 168 | 111 | 47 | 10 | 66.1% |
| Australian Defense | 161 | 83 | 66 | 12 | 51.5% |
| Blackburne Shilling Gambit | 146 | 66 | 68 | 12 | 45.2% |
| Amazon Attack: Siberian Attack | 127 | 81 | 42 | 4 | 63.8% |
| French Defense: Exchange Variation | 112 | 65 | 35 | 12 | 58.0% |
| London System: Poisoned Pawn Variation | 104 | 67 | 27 | 10 | 64.4% |
| Slav Defense: Bonet Gambit | 90 | 57 | 26 | 7 | 63.3% |
| Scotch Game | 80 | 38 | 35 | 7 | 47.5% |
| Dutch Defense | 78 | 57 | 17 | 4 | 73.1% |
| Döry Defense | 74 | 36 | 33 | 5 | 48.6% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Australian Defense | 617 | 317 | 275 | 25 | 51.4% |
| Amazon Attack | 412 | 231 | 165 | 16 | 56.1% |
| London System: Poisoned Pawn Variation | 399 | 214 | 163 | 22 | 53.6% |
| Amazon Attack: Siberian Attack | 305 | 149 | 143 | 13 | 48.9% |
| Amar Gambit | 255 | 135 | 109 | 11 | 52.9% |
| Blackburne Shilling Gambit | 208 | 108 | 93 | 7 | 51.9% |
| French Defense: Exchange Variation | 196 | 88 | 96 | 12 | 44.9% |
| French Defense | 179 | 91 | 79 | 9 | 50.8% |
| Döry Defense | 159 | 73 | 78 | 8 | 45.9% |
| Scotch Game | 145 | 63 | 74 | 8 | 43.5% |
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| French Defense: Exchange Variation | 649 | 309 | 294 | 46 | 47.6% |
| Australian Defense | 595 | 352 | 216 | 27 | 59.2% |
| French Defense | 539 | 300 | 206 | 33 | 55.7% |
| Amazon Attack: Siberian Attack | 447 | 240 | 187 | 20 | 53.7% |
| Amazon Attack | 345 | 216 | 110 | 19 | 62.6% |
| French Defense: Advance Variation | 324 | 182 | 127 | 15 | 56.2% |
| Amar Gambit | 314 | 195 | 105 | 14 | 62.1% |
| QGD: 2...Bf5 3.cxd5 | 307 | 198 | 94 | 15 | 64.5% |
| London System: Poisoned Pawn Variation | 294 | 163 | 110 | 21 | 55.4% |
| French Defense: Classical Variation, Svenonius Variation | 244 | 111 | 114 | 19 | 45.5% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amazon Attack | 21 | 18 | 2 | 1 | 85.7% |
| Australian Defense | 13 | 11 | 2 | 0 | 84.6% |
| Blackburne Shilling Gambit | 11 | 10 | 1 | 0 | 90.9% |
| French Defense: Advance Variation | 6 | 4 | 2 | 0 | 66.7% |
| Amazon Attack: Siberian Attack | 6 | 5 | 1 | 0 | 83.3% |
| QGD: 2...Bf5 3.cxd5 | 5 | 3 | 2 | 0 | 60.0% |
| French Defense | 5 | 5 | 0 | 0 | 100.0% |
| Dutch Defense | 5 | 4 | 1 | 0 | 80.0% |
| QGD: Albin, 3.dxe5 | 5 | 4 | 1 | 0 | 80.0% |
| French Defense: Classical Variation, Svenonius Variation | 5 | 4 | 0 | 1 | 80.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 19 | 0 |
| Losing | 11 | 3 |