That Lad

That Lad — CS2 Stats

76561198304385238[U:1:344119510]Steam profile ↗✓ No bans

377Tracked matches54%Win rate2020Tracked since
CSDB Rating5.1 DevelopingClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,749 +596 29 Oct – 5 Jan · 14 days played
15,79216,871peak 16,87129 Oct5 Jan
16,871Peak Premier in tracked matches
53Days played since 2025-10-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGThat LadFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWLLWWWWTLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · −31ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 492ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 534ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.2 against its own average).

Aim5.6
Utility5.2
Positioning4.8
Opening Duels3.4
Clutch10.0

Strong CT-side openerReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 52% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.6
Positioning4.8
Utility5.2
Mechanics4.7
Opening Duels3.7
Win Impact6.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time569ms−22ms
first ⅓ avg 590ms → last ⅓ avg 569ms
Headshot accuracy16.7%+2.7%
first ⅓ avg 14.0% → last ⅓ avg 16.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 13–1 · mirage, 14 Nov →
36%Best headshot accuracy · 2–13 · mirage, 2 Nov →
414msFastest reaction time · 13–10 · nuke, 18 Oct →
13–1Biggest win · dust2, 17 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 58% over 24cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
mirageC2310–1343%0.01
infernoB1910–953%0.01
nukeC94–544%0.02
ancientC83–538%0.01
cacheD72–529%-0.01
overpassC73–443%0.02
anubis—32–167%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

71Matches
39%Win rate
0.92Avg K/D
80.2ADR
32%Headshot %

Clutches & streaks

75%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.1018.0
Dust2250%1.0616.5
Nuke10%0.479.0
Anubis10%0.8016.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
31.3%Spray accuracy
71.2%Counter-strafing
9.7°Preaim
567msReaction time
36.8%T opening success
52.5%CT opening success
0.51Enemies flashed / flash
8.1%Flash assists
11.24HE damage / grenade
5.79Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.8487% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0513%18 Oct →
inferno11–130.0216%6 Oct →
mirage5–130.0321%1 Oct →
mirage13–6-0.0020%28 Sept →
nuke13–10-0.0114%8 Sept →
dust213–60.0417%8 Sept →
mirage13–5-0.0219%30 Aug →
cache12–12-0.006%29 Aug →
dust28–130.0214%29 Aug →
nuke13–16-0.017%28 Aug →
inferno13–160.059%26 Aug →
dust213–10.0120%17 Aug →
nuke13–10-0.0420%17 Aug →
dust216–120.0014%13 Aug →
cache9–13-0.0120%13 Aug →
inferno13–5-0.0610%1 Aug →
dust213–60.0313%30 Jul →
cache12–12-0.0621%9 Jul →
dust213–100.0418%25 Jun →
ancient9–13-0.0315%16 Jun →
cache13–60.0523%14 Jun →
mirage13–6-0.008%14 Jun →
dust24–13-0.0531%26 May →
mirage9–13-0.0019%26 May →
mirage8–130.0718%23 May →
inferno2–1-0.0617%23 May →
dust213–50.0413%23 May →
cache13–6-0.029%23 May →
mirage7–13-0.0516%21 May →
cache8–13-0.0034%21 May →
mirage12–12-0.0221%2 May →
cache6–130.0122%2 May →
mirage11–13-0.0517%10 Apr →
mirage16–14-0.0121%26 Mar →
mirage4–13-0.007%8 Mar →
inferno6–13-0.139%8 Mar →
overpass12–120.0129%7 Mar →
dust216–140.0219%2 Mar →
inferno13–100.0411%28 Feb →
dust25–13-0.0411%28 Feb →
mirage13–80.039%28 Feb →
dust27–13-0.0618%26 Feb →
inferno9–130.0415%26 Feb →
mirage5–13-0.0613%5 Jan →
dust29–13-0.0219%29 Dec →
dust213–60.0121%23 Dec →
ancient13–30.0510%22 Dec →
inferno13–80.0211%22 Dec →
ancient4–130.0321%15 Dec →
dust29–130.0117%15 Dec →
mirage7–13-0.0324%15 Dec →
anubis3–13-0.009%15 Dec →
nuke13–60.1221%1 Dec →
dust213–9-0.008%30 Nov →
overpass12–120.0314%24 Nov →
overpass13–90.048%24 Nov →
dust210–130.0727%21 Nov →
nuke1–130.0417%21 Nov →
dust25–13-0.0323%20 Nov →
overpass8–13-0.0111%16 Nov →
inferno16–130.0115%16 Nov →
mirage10–130.0920%16 Nov →
inferno13–60.0014%16 Nov →
inferno13–40.1119%14 Nov →
nuke5–130.019%14 Nov →
dust213–30.098%14 Nov →
mirage13–10.2311%14 Nov →
ancient12–120.037%14 Nov →
inferno14–160.018%12 Nov →
mirage13–8-0.0214%11 Nov →
dust213–8-0.018%11 Nov →
mirage13–10-0.019%9 Nov →
inferno13–20.0514%9 Nov →
ancient10–13-0.0211%8 Nov →
inferno13–6-0.0314%8 Nov →
inferno8–130.0011%7 Nov →
ancient13–50.039%7 Nov →
nuke9–130.0613%7 Nov →
overpass7–130.0318%6 Nov →
dust213–100.0319%6 Nov →
anubis13–100.0416%5 Nov →
inferno12–120.048%4 Nov →
dust213–100.0113%4 Nov →
mirage7–13-0.0411%3 Nov →
anubis13–6-0.0215%3 Nov →
dust213–110.0814%3 Nov →
overpass13–8-0.0121%3 Nov →
nuke6–130.0216%2 Nov →
mirage2–13-0.0736%2 Nov →
mirage11–00.0623%2 Nov →
dust210–13-0.049%2 Nov →
inferno10–130.034%1 Nov →
overpass13–80.0316%1 Nov →
ancient13–90.0318%1 Nov →
ancient7–13-0.0610%31 Oct →
inferno13–9-0.0412%31 Oct →
mirage9–13-0.0521%31 Oct →
mirage13–20.1222%31 Oct →
dust214–160.0210%29 Oct →
inferno13–110.0611%29 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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