Name: 平穩跟蹤：瞄準訓練速成班 #7 (Smooth Tracking: Aim Training Crash Course #7)
Uploaded: 2025-06-10T12:20:51.000Z
Duration: 23 min 3 s

未來進行式

Today we're going to continue our aim training crash course by covering smooth tracking, and I'm going to be teaching you the proper technique so you can track like a pro.

今天，我們將繼續我們的瞄準訓練速成班，學習平穩跟蹤，我將教你正確的技巧，讓你像職業選手一樣跟蹤。

基礎被動語態

If you're new here and looking at the video length, getting ready to click away, do what you want, but I promise you, YouTube is filled with videos talking about how you can become an aim god, but don't actually teach you anything about how to aim.

如果你是新手，看著視頻的長度，準備點擊離開，隨你怎麼做，但我向你保證，YouTube 上有很多視頻都在談論如何成為瞄準之神，但實際上並沒有教你如何瞄準。

情態副詞

My content actually arms you with the info you need to immediately act on and start improving, with no filler or fake promises.

我的內容實際上是為你提供你需要的資訊，讓你立即採取行動並開始改進，沒有任何填充或虛假承諾。

As always, I'm going to be giving you recommended scenarios and routines in Kovacs, FPS aim trainer, but don't worry if you don't want to shell out the 10 bucks or Kovacs, we're going to be covering some aim lab tasks you can run as well, which is a free aim trainer.

我將一如既往地為您推薦 Kovacs、FPS 瞄準訓練器中的場景和例程，但如果您不想花 10 美元購買 Kovacs，也不用擔心，我們還將介紹一些您可以運行的瞄準實驗室任務，這是一款免費的瞄準訓練器。

Make sure to check the description for timestamps and references.

請務必查看說明中的時間戳和參考文獻。

When it comes to sexy clips that people like to see, wide flicks and target switches are high up on the list.

說到人們喜歡看的性感片段，大尺度撩撥和目標切換是榜上有名的。

Tracking is kind of the unsung hero of aiming in FPS games, because when executed well, it looks effortless.

在 FPS 遊戲中，跟蹤是瞄準的無名英雄，因為如果執行得好，看起來毫不費力。

But make no mistake, it is a very difficult skill to master.

但不要誤會，這是一項很難掌握的技能。

I'm sure you've been in situations in FPS games where you just can't seem to hit your shots even when the enemy is moving in a predictable path, I know I have.

我相信你在 FPS 遊戲中一定遇到過這樣的情況：即使敵人的移動路線是可預測的，你似乎也無法擊中目標，我就遇到過這種情況。

Tracking is split into two main categories, reactive and smooth.

跟蹤分為兩大類，即被動跟蹤和平穩跟蹤。

In smooth tracking, our topic for today, you're primarily developing your ability to maximize your stability while keeping your crosshair on a target.

在我們今天的主題 "平穩跟蹤 "中，您主要是要培養在保持十字準線瞄準目標的同時最大限度地提高穩定性的能力。

Typically this is on higher TTK targets, using guns with a high fire rate, but not always.

通常是在 TTK 較高的目標上，使用高射速的槍支，但並非總是如此。

This also includes your ability to react back to target's changes in movement and quickly reacquire it to continue tracking it.

這還包括您對目標的移動變化做出反應，並迅速重新獲取目標以繼續追蹤的能力。

But of course, targets in smooth tracking situations are more predictable, meaning they don't change direction and speed at a high frequency.

當然，平穩跟蹤情況下的目標更容易預測，這意味著它們不會頻繁地改變方向和速度。

So if you're doing the Voltaic or Riva Sec benchmarks, they'll be testing you on your ability to maximize what I call crosshair uptime, which is essentially how long you can keep your crosshair on a target while shooting it.

是以，如果您要進行 Voltaic 或 Riva Sec 基準測試，他們將測試您最大限度地延長十字準線正常工作時間的能力。

There's a lot of fine motor movement and mouse control required to keep your crosshair where you want it, and keeping it both smooth and stable.

要將十字準線保持在你想要的位置，並使其保持平滑和穩定，需要大量的精細動作和滑鼠控制。

In FPS games themselves, this technique is super beneficial for minimizing bullet drop-off, so more of your bullets matter, eliminating targets more quickly, preferably before they kill you.

在 FPS 遊戲中，這種技術對於最大限度地減少子彈落點非常有利，是以你的子彈會更多，能更快地消滅目標，最好是在他們殺死你之前。

It also makes better use of your inventory, since you can effectively kill targets with less bullets.

它還能更好地利用你的庫存，因為你可以用更少的子彈有效地殺死目標。

It becomes very apparent how useful smooth tracking is when using automatic guns in the mid-range or longer distance, because targets become quite small, and jitter along with recoil results in far more missed shots.

在中距離或更遠距離使用自動槍時，平滑跟蹤的作用會變得非常明顯，因為目標會變得非常小，抖動和後坐力會導致更多的未擊中目標。

Something that's important to understand is that smooth tracking is an underlying major technique, as important as clicking, that you're developing.

需要了解的是，平滑跟蹤是一項基本的主要技術，與點擊一樣重要。

The foundation you're building here will apply majorly to other aim areas, like evasive switching, dynamic clicking, and even static clicking, like when you're doing pokeball scenarios.

你在這裡打下的基礎將主要應用於其他瞄準領域，比如閃避切換、動態點擊，甚至靜態點擊，比如你在做 pokeball 場景時。

So don't skimp on developing the technique in favor of score chasing.

是以，不要為了追逐分數而吝嗇對技術的培養。

For settings in your aim trainer, you'll be sticking with 103 Overwatch FOV, there's no real advantage to setting it higher like there is in target switching.

對於瞄準訓練器中的設置，您將堅持使用 103 Overwatch FOV，將其設置得更高並沒有真正的優勢，就像在目標切換中一樣。

For backgrounds, it's better to use textures with lines, like concrete tiles and bricks are really popular at the moment.

對於背景，最好使用有線條的紋理，比如目前非常流行的水泥磚和磚塊。

This helps you better understand bot movement and perceived depth.

這有助於您更好地瞭解機器人的運動和感知深度。

For sensitivity, you'll be running in your normal range, a good starting point is anywhere between 25 and 40 ACM a rev.

對於靈敏度，您將在正常範圍內運行，良好的起點是每轉 25 到 40 ACM。

You don't want to go too low with your sends like you would with static, because some of the smooth tracking scenarios, like smooth bot, have a decent amount of velocity and angles.

你不希望像使用靜態數據那樣，將發送量調得太低，因為某些平滑跟蹤場景（如平滑機器人）具有相當大的速度和角度。

Back in the day, people would cheese the benchmarks, like thin gauntlet with a super low sensitivity that's not really possible anymore.

在過去，人們會對這些基準產生興趣，比如超低靈敏度的薄鎧，但現在已經不可能了。

Plus the foundation you're building here will transition into more and more reactive tracking, which will have higher velocity targets, and start to penalize you if you haven't built good technique, especially when reacting to bot direction changes.

此外，您在這裡打下的基礎將過渡到越來越多的反應跟蹤，這將有更高的速度目標，如果您沒有建立良好的技術，特別是在對機器人的方向變化做出反應時，就會開始受到懲罰。

When practicing smooth tracking, it's often recommended to train at a higher sensitivity than you normally play with or are comfortable with.

在練習平滑跟蹤時，通常建議使用比平時演奏或舒適的靈敏度更高的靈敏度進行訓練。

This increases the challenge, makes you create errors, which ultimately helps you improve faster.

這增加了挑戰性，使你產生錯誤，最終幫助你更快地提高。

As a general rule, playing at higher sends uses more of your wrist and fingertips, and a lower send will use more of your shoulder and arm.

一般來說，在較高的發球區演奏時，會更多地使用手腕和指尖，而在較低的發球區演奏時，會更多地使用肩膀和手臂。

When training smoothness, pay attention to which parts of your arm you're using that result in jitter, and adjust your sensitivity accordingly to focus on those areas.

在訓練平穩性時，要注意手臂的哪些部位會導致抖動，並相應調整靈敏度，將注意力集中在這些部位。

You can use a randomizer here, with a significant benefit, almost as good as using one during reactive tracking scenarios.

您可以在這裡使用隨機化器，其效果非常明顯，幾乎與在被動跟蹤場景中使用隨機化器一樣好。

Aimlab has a built-in randomizer if you want to use one in Covex, you'll need to use a third-party program, which I cover in another video.

Aimlab 有一個內置隨機器，如果你想在 Covex 中使用，就需要使用第三方程序，我將在另一個視頻中介紹。

Word of caution, if you use a third-party tool, there is a chance you'll get banned just for having the driver installed it uses to randomize your sends, so use at your own risk.

需要提醒的是，如果使用第三方工具，有可能會因為安裝了該工具用於隨機化發送的驅動程序而被禁用，是以請自行承擔使用風險。

For technique, when you're starting out, one of the most important things to pay attention to is over-predicting.

就技術而言，當你剛起步時，最需要注意的一點就是過度預測。

Over-predicting is basically when you're too focused on the bot patterns and start to preemptively react to target movement changes because you're anticipating them to change direction.

過度預測基本上是指你過於關注機器人的模式，並開始對目標的移動變化做出先發制人的反應，因為你預計它們會改變方向。

What you want to always focus on while training is to assume that the bot will continue in its current direction forever, then wait until you see it change direction and react back to the movement change.

在訓練時，你要始終關注的是，假設機器人將永遠保持當前方向，然後等到你看到它改變方向時，再對動作變化作出反應。

That way you're developing your reading and reactivity skills.

這樣就能培養你的閱讀和反應能力。

And while we're on the topic of reacting back to bot movement, it's very important to react back smoothly.

說到對機器人的動作作出反應，順利作出反應非常重要。

By that I mean not flicking too hard and landing in front of the bot like you would in a flick target switching send.

我的意思是，不要太用力彈，也不要像彈目標切換髮送那樣落在機器人前面。

Not only does this waste movement, it will cost you some habit on learning later on when you move into more reactive tracking.

這不僅會浪費運動量，還會讓你在以後進入更多被動跟蹤時失去一些學習習慣。

You want your reaction to the target movement changes to feel smooth and relaxed, not tense and snappy.

你要讓自己對目標動作變化的反應感覺平穩、放鬆，而不是緊張、急促。

On tension, Aquatic is a top aimer who's going for Nova this year, and yes, I highlight this in smooth tracking, since this will have a major impact on your mouse stability.

在張力方面，Aquatic 是一位頂級瞄準手，今年他將向 Nova 發起衝擊，是的，我在平穩跟蹤中強調了這一點，因為這將對您的滑鼠穩定性產生重大影響。

Tension refers to the force that you apply to your mouse when gripping it, and which muscles are activated will depend a lot on the sensitivity you're using.

張力是指握住滑鼠時施加在滑鼠上的力量，而哪些肌肉會被激活在很大程度上取決於您使用的靈敏度。

So you might not notice how tensely you're holding the mouse until you start using higher sensitivities and become jittery because you're simply gripping the mouse too tensely.

是以，你可能不會注意到自己握滑鼠的緊張程度，直到你開始使用更高的靈敏度，才會因為握滑鼠過於緊張而變得抖動。

So while you're aim training, you want to consciously think about keeping your mouse hand as neutral as possible.

是以，在進行瞄準訓練時，要有意識地讓滑鼠手儘可能保持中立。

A recommended technique is to rebind your mouse 1 to something else like spacebar, so you can feel what a completely neutral position is like in your mouse hand, and then always strive to attain that level of tension, consciously thinking about it when you're aim training.

推薦的技巧是將滑鼠 1 重新綁定到空格鍵等其他位置，這樣你就能感覺到滑鼠手完全中立的位置是什麼樣的，然後一直努力達到這種緊張度，在瞄準訓練時有意識地思考這個問題。

I've also heard people suggest visualizing that you're holding something extremely fragile, like an egg or very thin glass, so you subconsciously hold your mouse delicately because you're worried the thing you're holding will break.

我還聽人建議，想象你拿著一個非常易碎的東西，比如雞蛋或很薄的玻璃，所以你會下意識地小心翼翼地握住滑鼠，因為你擔心你拿著的東西會碎裂。

Aquatic also suggests, if you notice you're tensing in the middle of aim training, don't just restart the scenario, but actively think about relaxing the tension while you're in the scenario.

Aquatic 還建議，如果發現自己在瞄準訓練中緊張，不要只是重新開始情景模擬，而是在情景模擬中積極思考如何放鬆緊張。

Over time this will become more reflexive, meaning it's something you'll do automatically.

隨著時間的推移，這將變得更加條件反射，也就是說，這是你會自動做的事情。

But especially at first, or when you're reviewing how to improve at smoothness, think about how tensely you are holding the mouse and how you can minimize it.

但是，尤其是一開始，或者當您在複習如何提高流暢度時，請考慮一下您握滑鼠時的緊張程度，以及如何將其降到最低。

You also want to be watching the bot and not your crosshair pretty much always when doing smooth tracking.

在進行平滑跟蹤時，您還需要一直觀察機器人，而不是您的十字準線。

This is because you're partly developing your reading skills, which is essentially your ability to understand how a target is going to move on screen and react accordingly with your crosshair movement.

這是因為您在一定程度上培養了自己的讀取技能，即理解目標在螢幕上如何移動並通過十字準線移動做出相應反應的能力。

Remember before how I mentioned crosshair uptime?

還記得我之前提到過十字準線的正常運行時間嗎？

When you're training, you want to be prioritizing keeping your crosshair on the target even when it feels jittery.

在訓練時，即使感覺抖動，也要優先將十字準星對準目標。

I see way too often players that are slightly in front of or behind the target and still following the same pattern and direction the bot is moving, even though they're not doing damage to it.

我經常看到一些玩家在目標的前方或後方，雖然沒有對機器人造成傷害，但仍在按照相同的模式和方向移動。

What you want to do is pay attention to when your crosshair falls off the bot and micro-correct to bring it back.

您要做的就是注意十字準線何時偏離機器人，並進行微調使其恢復。

This is especially true in scenarios like popcorn good at tracking invincible, also known as PGTI, or smooth bot that have frequent velocity and angle changes.

在爆米花善於追蹤無敵（也稱為 PGTI）或速度和角度變化頻繁的平滑機器人等場景中尤其如此。

On the topic of resetting your mouse, due to the nature of smooth tracking sends, you're going to be encountering mouse resetting more than the other scenarios.

關於重置滑鼠的問題，由於平滑跟蹤發送的特性，你會比其他情況下更多地遇到滑鼠重置的問題。

By that we mean physically picking up your mouse to bring it back near the center of your pad when you run out of space.

我們所說的 "滑鼠 "是指，當你的滑鼠空間不足時，你可以用手拿起滑鼠，讓它回到鼠標墊的中心位置。

Resetting your mouse is not inherently bad.

It happens and learning how to properly reset your mouse quickly is a skill you need to develop, because it will happen in firefights, and a good reset can mean the difference between winning and losing.

這種情況時有發生，學習如何正確快速地重置滑鼠是您需要掌握的技能，因為這種情況在交火中時有發生，而一次好的重置意味著輸贏的差別。

One is, try not to over-reset just because you're on a part of your pad that you're not comfortable with.

一是儘量不要因為你的墊子上有你不習慣的部分就過度復位。

You want to get comfortable with parts of your pad, wrist, and arm that you aren't used to using.

你要適應墊子、手腕和手臂等你不習慣使用的部位。

The second is, try to reset at a time when it is optimal, like when the bot pattern is the least viable.

第二，儘量在最佳時機重置，比如機器人模式最不可行的時候。

Remember when we talked about viability in other Crash Course videos?

還記得我們在其他速成班視頻中談到的可行性嗎？

If not, make sure to go back and check those out.

Basically, when the target is really difficult to hit anyways, like when its velocity is at its max or near the bottom of the arc with an arcing bot, that's when you want to prioritize resetting your mouse.

基本上，當目標無論如何都很難擊中時，比如目標速度達到最大值或接近弧形機器人的弧底時，就是你要優先重置滑鼠的時候。

That's pretty much it for technique with smoothness.

光滑度方面的技術差不多就是這樣了。

This is a really straightforward mechanic that's difficult to master and just requires putting a lot of reps in.

這是一個非常簡單的機制，但很難掌握，只需要投入大量的重複練習。

是以，總而言之，不要過度預測。

Assume the bot will keep going in its current direction forever, then react back when it changes direction.

假設機器人將永遠沿著當前方向前進，然後在改變方向時作出反應。

Pay attention to the bot and not the crosshair to build your reading skills.

注意機器人而不是十字準線，以培養您的閱讀能力。

Focus on smoothly reacting back to bot changes.

專注於順利地對機器人的變化做出反饋。

Prioritize crosshair uptime, micro-correcting when your crosshair falls off the target.

優先考慮十字準線的正常運行時間，在十字準線偏離目標時進行微修正。

Allow yourself to be comfortable with parts of your pad you're not used to, and focus on mouse resetting at optimal times.

讓自己適應墊子上你不習慣的部分，並專注於在最佳時間重置滑鼠。

So now I'll be going through each of the types of tracking scenarios available in Aim Trainers, which ones are useful to focus on, and what they help develop in your technique.

現在，我將逐一介紹 Aim Trainers 中的每種跟蹤場景，哪些場景值得重點關注，以及它們對你的技術發展有何幫助。

I'm mostly going to be focusing on what I call big compound scenarios that are either very effective at what they isolate, or are able to develop multiple adjacent techniques simultaneously.

我將主要關注我所說的大型複合方案，這些方案要麼在其孤立的方面非常有效，要麼能夠同時發展多種相鄰的技術。

One important thing to note, in Kovacs especially, there's a lot of variations of these scenarios.

值得注意的是，尤其是在科瓦克斯，這些情況有很多變化。

To increase the difficulty, you can choose smaller bot versions of the scenarios I'm  How do you know when to increase difficulty?

要增加難度，您可以選擇較小機器人版本的場景，我如何知道何時增加難度？

This is not a hard and fast rule, but shoot for 25-30% accuracy before increasing difficulty.

這不是一個硬性規定，但在增加難度之前，應爭取達到 25-30% 的準確率。

Basically, you want to create errors and challenge yourself to the point of frustration during your learning bounce, which will cue your brain's attention to change in order to adapt and improve.

從根本上說，你要在學習反彈過程中製造錯誤，挑戰自己，讓自己感到挫敗，這將促使你的大腦注意改變，以適應和改進。

On the other hand, if you want to decrease the difficulty, an easy way to do that in Kovacs is to change the timescale, which essentially increases or decreases the bot's speed by a flat multiplier.

另一方面，如果您想降低難度，在 Kovacs 中一個簡單的方法就是改變時間刻度，這基本上是以一個統一的乘數來增加或減少機器人的速度。

You can change it to 0.7, for example, if it's too difficult, at the default number 1.

例如，如果難度太大，您可以將其改為 0.7，默認值為 1。

There doesn't seem to be a way to do this yet in Aim Lab, so you can just look for easy versions of the scenarios.

Aim Lab 中似乎還沒有辦法做到這一點，是以您可以直接查找簡易版的場景。

For the Aim Lab scenarios I'll be covering, easiest way to get to them in Aim Lab is to just use CTRL-F to find and type in the name, or part of the name of the scenario.

對於我將要介紹的 Aim Lab 場景，在 Aim Lab 中找到它們的最簡單方法是使用 CTRL-F 查找並輸入場景名稱或名稱的一部分。

So the first type is one-plane tracking, like horizontal or vertical tracking.

第一種是單平面跟蹤，比如水準或垂直跟蹤。

Generally these are predictable long strafes that help you focus exclusively on minimizing jitter on whichever bot direction you want.

一般來說，這些都是可預測的長距離掃射，可以幫助你專注於盡量減少機器人方向上的抖動。

These will focus far less on your reading skills and more on your raw ability to consistently keep up with the bot movement and prevent your crosshair from falling off the target.

這些遊戲對您的讀取技能要求較低，而更注重您持續跟上機器人移動並防止十字準線偏離目標的原始能力。

When you're playing these, prioritize thinking about keeping your crosshair on the targets center mass as you're following the strafe pattern, and consciously remind yourself to move the crosshair smoothly back to the target whenever it falls off.

在玩這些遊戲時，當您按照掃射模式操作時，應優先考慮將十字準線保持在目標中心點上，並有意識地提醒自己在十字準線偏離目標時將其平穩地移回目標。

In Covax you'll commonly see scenarios like centering, smooth your wrist, vertical long strafes, thin gauntlet.

在 Covax 中，你會經常看到居中、手腕平滑、垂直長距離掃射、薄鎧等場景。

I think that revolving tracking is one of the best scenarios per unit time to work on for horizontal, vertical smoothness popcorn, and vertical smooth lapu for vertical training.

我認為，旋轉跟蹤是組織、部門時間內最好的場景之一，可用於水準、垂直平滑爆米花，垂直平滑拉普則可用於垂直訓練。

In AimLab look for scenarios like VT thin gauntlet AIO, and RA thin aiming long invincible, and RA popcorn vertical smoothness.

在 AimLab 中查找 VT 薄鎧 AIO、RA 薄瞄準長無敵和 RA 爆米花垂直平滑等場景。