众仙俯首
A8.3前世，林落尘因与玉女宗圣女的孽缘，被囚禁至死； 今生，他斩情绝爱，一心向道，不料造化弄人。 魔女指尖燃起业火：“本宫朱砂痣的位置...你倒是记得清楚。” 玉女宗圣女剑锋凝霜：“你破了我的太上忘情，就想一走了之？” 祸国妖妃巧笑嫣然：“与奴家知根知底者，唯夫君耳。” 林落尘叹息一声：“我只想成仙做祖，让众仙俯首，不想谈什么情情爱爱！” 妖妃闻言舔了舔红唇：“原来夫君你好这口啊，早说嘛！” 林落尘望着追来的红颜，突然觉得，自己这一世，怕是死得比上一世更早......
Synopsis comes from the source platform's public listing and is used for identification only.
Multi-axis scoring
ModelledRelative strength across eight dimensions, out of 10.
Overall 8.30／10 · Avg. score 8.30
Plot tension curve
ModelledTension sampled across the narrative arc. Peaks mark where conflict concentrates; the shaded band is the whole-book average range.
- Smoothed
- Mean band
Peak tension 7.6 · 100% · finale · Volatility 1.4
Pacing and hooks
ModelledHook rate and dialogue share reveal how the chapters drive forward.
- Hook rate
- Dialogue share
- Climax interval
- Climax nodes
- Hook rate
- Share of chapters ending on a cliffhanger
- Dialogue share
- Dialogue as a share of total text
- Climax interval
- Median gap between adjacent climaxes
Volume structure and pacing
ModelledLength share and average tension per volume. Volume names and phases are derived; the book's total chapter count has not been verified, so chapter ranges and counts are omitted — word counts are proportionally modelled from the verified total length.
- Volume (words)
- Avg. tension
| Volume | Words | Avg. tension |
|---|---|---|
| Seeking | 839K | 4.9 |
| Foundation | 839K | 3.9 |
| Core | 839K | 5.4 |
| Contention | 839K | 5.6 |
| Sainthood | 839K | 6.7 |
成圣 · Avg. tension 6.7
Emotional distribution
ModelledStrength of six emotional signals across volumes.
- Joy
- Romance
- Family
- Anger
- Tension
- Sadness
Theme weights
MeasuredTheme terms and their relative weight, showing where the narrative puts its attention.
- 热血97
- 轻松94
- 剑道86
- 杀伐果断82
- 脑洞79
Peer comparison
MeasuredAll four metrics come straight from the source platform; the baseline is the median of other works in the same genre.
- Total words4.2MScalevs median ×13.06
- Chapters0Granularity—
- Words / chapter0Reading unit—
8 · Length #3
Deep analysis pending
ModelledDeep analysis pending
This work has not yet been read and analysed by an editor. To avoid inventing characters or plot events, the character, beat and foreshadowing panels are withheld; every chart above comes from real fields or reproducible typological modelling.
See fully analysed worksVerdict
ModelledCharts labelled “Modelled” on this page are typological estimates — read them alongside the synopsis and a sample.
This site hosts no novel text. Synopsis and metadata come from the source platform's public listing; analysis values are structural statistics derived from public information and do not represent the work in full.