About Jorge
Jorge, better known online as koadik, treats the online board like his playground and laboratory. He burst onto the rapid scene and has grown into a friendly, sharp competitor who loves turning tight positions into wins with calm, methodical endgames. Fans enjoy the mix of humor and tenacity in his games, where a near-mistimed tactic often becomes a masterpiece two moves later.
Active through 2025, Jorge keeps his blade sharp in Rapid chess—the format that suits his fast-thinking style. For a quick glance at his trajectory, see a snapshot here:
.Chess Journey and Playing Style
Rapid is his preferred time control, but his versatility shines across Blitz, Bullet, and Daily formats. He embraces long battles and thrives in the endgame, where his frequency is high (81.05%). His resilience is legendary, with a longest winning streak of 19 and a longest losing streak of 24, proving that comebacks are his middle name.
- Preferred time control: Rapid
- Longest winning streak: 19
- Longest losing streak: 24
- Endgame frequency: 81.05%
Moments of peak performance are recorded across formats: Blitz 2345 (2025-02-01), Rapid 2287 (2021-04-03), and Bullet 2211 (2011-03-05).
Openings and Performance Highlights
In Blitz, he shines with the King's Indian Defense (Averbakh Variation) and Diemer-Duhm Gambit ideas, showcasing his comfort in dynamic, complex positions:
- King's Indian Defense (Averbakh Variation) — Blitz: 1219 games, 706 wins, win rate 57.92%
- Diemer-Duhm Gambit (4...f5) — Blitz: 1688 games, 880 wins, win rate 52.13%
- Australian Defense — Blitz: 1325 games, 697 wins, win rate 52.6%
- Sicilian Defense: Closed — Blitz: 1034 games, 525 wins, win rate 50.77%
- Sicilian Defense — Closed and other lines populate Bullet and Rapid streams with solid results as well
Openings performance across Bullet and Rapid also features strong showings in Modern Defense lines and King’s Indian families. See more in the openings dataset:
.Opponents and Profile
Jorge has faced a lively roster of online rivals. The most played opponents include loloso, dnbory, exterminator440, and katpawrov. His results against some of these rivals show a healthy balance of wins and losses: loloso 102–47, dnbory 62–57, exterminator440 55–43, katpawrov 41–55. You can learn more about his journey by visiting the profile: Jorge.
- Most played: loloso — 149 games
- Most played: dnbory — 119 games
- Most played: exterminator440 — 99 games
- Most played: katpawrov — 99 games
For a quick read of activity, see this snapshot:
.Notes
Want a deeper dive? The data sketches a lively career across years and formats, with a preferred rhythm in Rapid and a knack for turning endgames into triumphs. Jorge
Recent rapid games: what’s going well and what to improve
You’ve been playing with energy and willingness to complicate the position when you have the initiative. In rapid, this style can generate chances, but it also increases the risk of misjudging exchanges or missing a simpler plan. The key is to convert advantages into clear, steady progress and keep calm when the position becomes tactical.
- Strengths you can lean on: you handle sharp, dynamic positions well and you look for activity with your pieces. This helps you press opponents and create practical chances in the middlegame.
- Common improvement opportunities: after initiating complications, pause to verify your material balance and your king safety. In rapid, a small miscalculation can swing the momentum quickly. Focus on consolidating once you gain a lead in space or development, then convert with precise exchanges or a clear plan.
- Time management note: aim to allocate your thinking time so you have a buffer in the later moves. This reduces the likelihood of rushing critical decisions when the board tightens.
Key improvement areas with actionable steps
- Convert advantages steadily: practice turning a small plus into a clear pawn or activity edge before attempting heavy tactical sequences. Use a simple checklist before each exchange sequence: who is safer, who has the better pawn structure, and where are the open files?
- Pattern recognition and anti-tactics: study common tactical motifs that frequently appear in your openings (for example, responses in the Slav/Slav-Exchange-type structures and Sicilian lines). Build a short mental catalog of typical threats and safe responses.
- Time management routine: set a target time budget per phase of the game (opening, middlegame, endgame) and use a 1-2 minute review at the 20-move mark to ensure you’re heading toward a clear plan rather than chasing dynamic complications.
- Endgame readiness: strengthen rook and minor piece endgames. Practice simple conversions (rook ending with opposite-colored pawns, king activity in rook endings) so you can close games more reliably when material is equal or you’re slightly up.
Opening focus: where to deepen your repertoire
Your openings show meaningful results in some lines. Based on performance data, you tend to do well with the Sicilian Defense and the Queen’s Gambit Declined (specifically lines around 4.Nf3), and you’ve had notable success with the Diemer-Duhm Gambit in practice. Some other lines have been less successful, so it’s wise to focus on a compact, coherent set of openings.
- Prioritize: Sicilian Defense (solid main-line ideas and key pawn structures) and Queen’s Gambit Declined family (4.Nf3 and related setups). Build familiarity with typical middlegame plans and common strategic goals in these branches.
- Approach cautiously: the Diemer-Duhm Gambit shows a high win rate in your data, but it’s an offbeat choice that requires precise calculation. If you enjoy it, keep it as a surprise weapon rather than your primary weapon, and study the typical pawn structures and tactical ideas that arise.
- Be mindful of weaker lines: Modern Defense, Slav Exchange variations, Catalan and some Bogo-Indian setups have shown less consistent results. Consider either avoiding them in rapid or preparing clear, model lines to reduce uncertainty.
Practice plan for the coming weeks
- Opening study (2 sessions per week): deepen two main openings (Sicilian and QGD family). Learn 2-3 representative middlegame plans and the typical endgames that arise from each.
- Tactics and pattern drills (daily): 15-20 minutes of puzzles with focus on motifs common in your repertoire (pressure on the king, piece coordination, typical tactical nets in the Sicilian and QGD structures).
- Endgame practice (2 sessions per week): rook endings, rook + minor piece endings, and simple pawn endgames from your favorable structures.
- Post-game review (after each session): write down one critical decision you made, one better alternative, and one concrete plan for the next game in a short chess journal.
- Play with intent: in your next 6-8 rapid games, aim to execute the plan from your chosen opening, consolidate early, and only commit to tactical sequences after confirming your position’s safety and plan alignment.
Short, actionable drill you can start now
Pick one of your top openings (Sicilian or QGD). Set up a few typical middlegame plans in your head and test them in a 2-3 games mini-cycle. After each game, note a) the plan you attempted, b) whether you achieved it, and c) one improvement to apply in the next game. If you’d like, I can generate a focused practice PGN for you to study and replay in a few minutes.
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| Lars Meyer | 13W / 16L / 1D | |
| djuskaj | 3W / 8L / 0D | |
| Ulrich Schulze | 11W / 9L / 0D | |
| maikl5005 | 5W / 11L / 3D | |
| swop1107 | 2W / 4L / 1D | |
| amourshinyo | 2W / 5L / 0D | |
| yourrowner | 0W / 1L / 0D | |
| jasonrbt | 0W / 2L / 0D | |
| vmezentsev | 4W / 2L / 0D | |
| ata101 | 1W / 0L / 0D | |
| Most Played Opponents | ||
|---|---|---|
| loloso | 102W / 47L / 0D | |
| dnbory | 62W / 57L / 0D | |
| Alan Piper | 41W / 55L / 3D | |
| Wilson Fuertes | 55W / 43L / 1D | |
| began | 58W / 33L / 1D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 1825 | 2429 | ||
| 2024 | 1929 | 2238 | 1860 | |
| 2023 | 1987 | 2156 | ||
| 2022 | 1648 | 2124 | 1876 | |
| 2021 | 1457 | 2073 | 1978 | |
| 2020 | 1832 | 2149 | ||
| 2019 | 1748 | 2136 | ||
| 2018 | 1779 | 2082 | 1936 | |
| 2017 | 1758 | 2069 | ||
| 2016 | 1705 | 2032 | 1845 | |
| 2015 | 1782 | 1980 | 1879 | |
| 2014 | 1568 | 1829 | ||
| 2013 | 1812 | 1844 | 1760 | 2026 |
| 2012 | 1787 | 1814 | 1741 | 2022 |
| 2011 | 1869 | 1844 | 1717 | 1949 |
| 2010 | 1858 | 1808 | 1505 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 1734W / 1557L / 83D | 1600W / 1646L / 118D | 73.2 |
| 2024 | 1860W / 1991L / 130D | 1704W / 2128L / 157D | 75.2 |
| 2023 | 3897W / 3355L / 121D | 3789W / 3493L / 141D | 67.5 |
| 2022 | 1029W / 785L / 61D | 1010W / 783L / 71D | 74.3 |
| 2021 | 764W / 550L / 45D | 735W / 587L / 50D | 75.4 |
| 2020 | 1171W / 836L / 60D | 1082W / 906L / 57D | 75.1 |
| 2019 | 2078W / 1682L / 82D | 1960W / 1785L / 70D | 70.6 |
| 2018 | 1125W / 949L / 57D | 976W / 1068L / 58D | 74.6 |
| 2017 | 259W / 217L / 20D | 239W / 248L / 7D | 77.4 |
| 2016 | 741W / 657L / 39D | 657W / 699L / 40D | 78.9 |
| 2015 | 828W / 702L / 44D | 746W / 792L / 30D | 77.6 |
| 2014 | 430W / 397L / 22D | 413W / 412L / 24D | 76.4 |
| 2013 | 1035W / 834L / 55D | 990W / 892L / 49D | 76.5 |
| 2012 | 946W / 875L / 53D | 871W / 940L / 65D | 78.8 |
| 2011 | 1506W / 1450L / 100D | 1503W / 1453L / 77D | 77.2 |
| 2010 | 1963W / 1861L / 60D | 1982W / 1829L / 65D | 70.3 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Modern Defense: Pterodactyl Variation | 6078 | 3149 | 2721 | 208 | 51.8% |
| Diemer-Duhm Gambit (DDG): 4...f5 | 1737 | 911 | 774 | 52 | 52.5% |
| Australian Defense | 1335 | 700 | 593 | 42 | 52.4% |
| London System: Poisoned Pawn Variation | 1314 | 644 | 615 | 55 | 49.0% |
| Sicilian Defense | 1302 | 677 | 573 | 52 | 52.0% |
| King's Indian Defense | 1225 | 709 | 490 | 26 | 57.9% |
| Slav Defense | 1200 | 624 | 530 | 46 | 52.0% |
| Queen's Indian Defense: Averbakh Variation | 1157 | 627 | 501 | 29 | 54.2% |
| Slav Defense: Alekhine Variation | 1088 | 521 | 516 | 51 | 47.9% |
| Sicilian Defense: Closed | 1048 | 531 | 478 | 39 | 50.7% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Australian Defense | 2970 | 1522 | 1422 | 26 | 51.2% |
| Modern Defense: Pterodactyl Variation | 2342 | 1217 | 1099 | 26 | 52.0% |
| London System: Poisoned Pawn Variation | 1870 | 950 | 893 | 27 | 50.8% |
| Amazon Attack | 1778 | 880 | 874 | 24 | 49.5% |
| Amar Gambit | 1376 | 691 | 672 | 13 | 50.2% |
| Sicilian Defense | 1077 | 553 | 506 | 18 | 51.4% |
| Colle: 3...Bf5, Alekhine Variation | 940 | 482 | 451 | 7 | 51.3% |
| Colle: 3...e6 4.Bd3 c5 | 756 | 421 | 323 | 12 | 55.7% |
| Sicilian Defense: Closed | 707 | 329 | 372 | 6 | 46.5% |
| Slav Defense | 665 | 328 | 327 | 10 | 49.3% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Modern Defense: Pterodactyl Variation | 12 | 3 | 9 | 0 | 25.0% |
| Sicilian Defense | 7 | 5 | 2 | 0 | 71.4% |
| QGD: 4.Nf3 | 5 | 4 | 1 | 0 | 80.0% |
| Diemer-Duhm Gambit (DDG): 4...f5 | 5 | 4 | 1 | 0 | 80.0% |
| Slav Defense | 4 | 1 | 3 | 0 | 25.0% |
| King's Indian Defense | 3 | 2 | 1 | 0 | 66.7% |
| Catalan Opening | 3 | 0 | 3 | 0 | 0.0% |
| Sicilian Defense: Accelerated Dragon, Exchange Variation | 3 | 2 | 1 | 0 | 66.7% |
| QGD: 4.Bg5 Be7 5.cxd5 Nxd5 | 2 | 2 | 0 | 0 | 100.0% |
| Caro-Kann Defense: Panov Attack | 2 | 2 | 0 | 0 | 100.0% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| King's Indian Defense | 3 | 1 | 2 | 0 | 33.3% |
| Modern Defense: Pterodactyl Variation | 2 | 1 | 1 | 0 | 50.0% |
| QGD: 3.Nc3 Bb4 | 2 | 1 | 1 | 0 | 50.0% |
| Slav Defense | 2 | 1 | 1 | 0 | 50.0% |
| London System: Poisoned Pawn Variation | 1 | 1 | 0 | 0 | 100.0% |
| QGD Tarrasch: 4.cxd5 | 1 | 1 | 0 | 0 | 100.0% |
| QGD: 4.Nf3 | 1 | 1 | 0 | 0 | 100.0% |
| Blumenfeld Countergambit | 1 | 1 | 0 | 0 | 100.0% |
| Sicilian Defense: Dragon Variation, Accelerated Dragon | 1 | 0 | 1 | 0 | 0.0% |
| Sicilian Defense: Accelerated Dragon, Modern Bc4 Variation | 1 | 0 | 1 | 0 | 0.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 19 | 0 |
| Losing | 24 | 1 |