LGD GAMING vs Shenzhen NINJAS IN PYJAMAS: LPL Renata Risk

TL;DR: In LPL Game 4, LGD GAMING meet Shenzhen NINJAS IN PYJAMAS with the draft model favoring Shenzhen NINJAS IN PYJAMAS 60% to 40%. Their Renata Glasc pick is the pressure point: it carries a 33% LPL WR over 27G and a 35% global WR over 17G against Neeko, so it must unlock Kalista early.

Compositions: LGD GAMING vs Shenzhen NINJAS IN PYJAMAS

LGD GAMING have a layered engage and skirmish composition. LGDBurdol's Ambessa and LGDHeng's Skarner can start fights, while LGDTangyuan's Akali attacks the back line and LGDShaoye's Corki supplies poke and scaling damage. LGDCrisp's Neeko gives the teamfight engage that lets Corki safely follow up. LGD want controlled early objectives, then decisive mid-game fights before Camille can split-push freely.

Shenzhen NINJAS IN PYJAMAS answer with sharper side-lane pressure through NIPHOYA's Camille, reliable engage from NIPGuwon's Maokai, and a high-tempo Kalista lane for NIPPhotic. NIPCare's Tristana adds tower-taking and scaling. NIPfengyue's Renata Glasc is a risky protection and counter-engage tool: the composition needs Kalista to build a lead, then use Hostile Takeover to punish LGD's direct engage.

Key Picks and Stats

The top lane is volatile. LGDBurdol's Ambessa has a 47.7% global WR over 1171G but a 50.6% LPL WR over 154G; against Camille, his record is 40.0% global over 15G, although 100.0% LPL over 2G is far too small to settle the matchup. NIPHOYA's Camille posts a 50.8% global WR over 354G and 46.2% LPL over 39G, but owns a 60.0% global WR over 15G against Ambessa.

Jungle slightly favors NIP's specialist form. NIPGuwon's Maokai has a 62.1% LPL WR over 29G, compared with LGDHeng's 49.1% LPL WR over 53G on Skarner; their global head-to-head is an even 50.0% over 8G. Mid lane offers LGD a real carry route: LGDTangyuan's Akali reaches 52.8% global over 555G and 55.7% LPL over 70G, while NIPCare's Tristana is at 49.7% global over 167G and 50.0% LPL over 10G.

Bot lane is LGD's statistical counter-pick. LGDShaoye's Corki has a 56.2% global WR over 16G against Kalista and 60.0% LPL over 5G, while NIPPhotic's Kalista falls to 43.8% global over 16G and 40.0% LPL over 5G against Corki. The more alarming edge is support: LGDCrisp's Neeko has a 64.7% global WR over 17G against Renata Glasc, versus NIPfengyue's 35.3% over 17G.

Draft Edge

Last night's forecast expected NIP.CN to prioritize Gnar and LGD to value Nocturne, but neither appeared in this visible draft. The expected bans cannot be confirmed because the ban phase was not supplied. Instead, Renata Glasc is the departure from the forecast: Shenzhen NINJAS IN PYJAMAS are betting on execution over the safer Gnar, Vi, Azir, and Seraphine routes.

LGD own the clearer five-versus-five engage and bot-lane counter. Shenzhen NINJAS IN PYJAMAS have the stronger split-push and early jungle profile. Camille must create a side-lane threat while Maokai and Renata stop Akali, Ambessa, and Skarner from reaching Kalista.

Polymarket Market

Polymarket prices Game 4 at LGD GAMING 46% and Shenzhen NINJAS IN PYJAMAS 54%. The pre-match series market was 32% for LGD GAMING and 68% for Shenzhen NINJAS IN PYJAMAS. A current series price is unavailable, so movement from that pre-match number cannot be measured.

The Game market is more optimistic about LGD than the pre-match series market: LGD gain 14 percentage points on this individual map, while Shenzhen NINJAS IN PYJAMAS fall 14 percentage points. That reflects LGD's Corki into Kalista and Neeko into Renata Glasc lanes, but still respects NIP's 0.900 team-form signal, 0.593 Elo signal, and Camille-Maokai setup.

Prediction

The model makes Shenzhen NINJAS IN PYJAMAS a 60% favorite against LGD GAMING at 40%. I would narrow that to 57%–43% because LGD's bot and support matchup data are unusually favorable. Still, NIP won Game 2 23-16 in kills, and their stronger season WR of 0.576 versus 0.460 gives them the more dependable series-level baseline despite LGD winning Games 1 and 3.

FAQ

*Data: draftlol live draft model + Polymarket, draft close.*