ZackuTV

ZackuTV — CS2 Stats

76561199810343956[U:1:1850078228]Steam profile ↗✓ No bans

274Tracked matches53%Win rate2025Tracked since
CSDB Rating4.4 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGZackuTVFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning40
Utility34

0–100 skill scores via Leetify.

Recent form

COLD44–41–15Last 10044%Win rateWLWWLLLLLT

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −3.2pp headshot accuracy · +36ms 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 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 529ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim5.8
Utility3.4
Positioning4.0
Opening Duels0.8
Clutch4.0

Limited utility dependence

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

b1t

Plays most like b1t 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 711ms 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

Aim5.8
Positioning4.0
Utility3.4
Mechanics4.5
Opening Duels1.0
Win Impact6.1

Composite 4.4/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time543ms+12ms
first ⅓ avg 531ms → last ⅓ avg 543ms
Headshot accuracy20.2%−6.1%
first ⅓ avg 26.3% → last ⅓ avg 20.2%

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

0.31Best match rating · 9–0 · vertigo, 28 Aug →
71%Best headshot accuracy · 2–9 · inferno, 27 Aug →
336msFastest reaction time · 0–9 · inferno, 26 Sept →
13–1Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–5In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 43% over 56
MapGradePlayedRecordWin rateAvg rating
infernoC5624–3243%-0.01
vertigoC2812–1643%0.02
nukeS64–267%-0.05
mirageA53–260%0.04
overpass—20–20%-0.05
ancient—10–10%-0.03
poseidon—11–0100%-0.01
eldorado—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 56). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches
56%Win rate
0.87Avg K/D
70.0ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1974%0.9714.4
Dust2714%0.8712.6
Inferno560%0.5911.4
Anubis450%0.7916.8
Nuke367%0.719.3
Ancient30%0.8417.3
Overpass2100%1.0423.0

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.

19.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.7%Spray accuracy
70.0%Counter-strafing
8.2°Preaim
711msReaction time
37.8%T opening success
28.6%CT opening success
0.52Enemies flashed / flash
8.5%Flash assists
4.13HE damage / grenade
3.09Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.0384ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0932 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 37.8395% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 56 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.0013%4 Oct →
mirage2–13-0.0621%4 Oct →
mirage6–40.2126%4 Oct →
mirage13–10.0719%3 Oct →
inferno5–9-0.1110%1 Oct →
inferno6–90.0912%29 Sept →
inferno6–90.0823%29 Sept →
inferno5–9-0.1614%29 Sept →
vertigo5–9-0.1019%27 Sept →
inferno8–8-0.0919%27 Sept →
nuke0–9-0.289%27 Sept →
inferno8–8-0.0821%27 Sept →
inferno0–9-0.2633%26 Sept →
mirage9–13-0.0221%26 Sept →
vertigo8–8-0.0419%25 Sept →
inferno9–70.0624%25 Sept →
nuke9–50.1323%25 Sept →
inferno5–9-0.1016%25 Sept →
inferno9–20.1316%25 Sept →
inferno9–20.1926%24 Sept →
inferno4–9-0.0615%24 Sept →
inferno9–60.0517%23 Sept →
inferno6–90.0729%22 Sept →
inferno9–6-0.0128%22 Sept →
inferno9–70.0320%22 Sept →
inferno6–9-0.0242%20 Sept →
ancient11–13-0.0316%20 Sept →
poseidon9–6-0.0130%19 Sept →
nuke9–70.0111%19 Sept →
nuke9–7-0.0336%19 Sept →
overpass6–9-0.1017%19 Sept →
vertigo9–40.087%19 Sept →
inferno6–9-0.1313%19 Sept →
inferno7–90.039%19 Sept →
inferno9–20.1235%19 Sept →
nuke3–9-0.1740%19 Sept →
inferno9–70.059%17 Sept →
inferno8–80.0918%17 Sept →
nuke9–60.0233%17 Sept →
overpass8–80.0019%17 Sept →
vertigo9–60.0335%17 Sept →
inferno9–20.1216%17 Sept →
inferno5–9-0.0622%17 Sept →
vertigo4–90.0035%16 Sept →
inferno9–50.0619%16 Sept →
inferno9–4-0.036%16 Sept →
eldorado4–9-0.0320%16 Sept →
vertigo9–40.1914%16 Sept →
inferno8–80.0911%13 Sept →
inferno2–9-0.1325%13 Sept →
inferno1–9-0.1522%10 Sept →
vertigo8–8-0.0911%10 Sept →
inferno9–00.1158%10 Sept →
inferno4–9-0.0825%6 Sept →
inferno9–60.0529%6 Sept →
inferno1–9-0.0713%6 Sept →
vertigo8–8-0.005%5 Sept →
inferno3–9-0.1319%5 Sept →
inferno9–60.1637%5 Sept →
inferno2–9-0.1921%5 Sept →
vertigo9–30.1925%4 Sept →
vertigo1–9-0.1617%31 Aug →
vertigo6–9-0.0512%31 Aug →
inferno5–9-0.087%31 Aug →
inferno9–5-0.0338%31 Aug →
vertigo6–9-0.1414%31 Aug →
vertigo9–70.0538%31 Aug →
vertigo9–60.0129%29 Aug →
vertigo7–9-0.0218%28 Aug →
inferno6–9-0.0921%28 Aug →
vertigo8–8-0.0115%28 Aug →
vertigo9–00.3129%28 Aug →
inferno9–70.0624%28 Aug →
inferno9–00.0717%28 Aug →
inferno7–9-0.1020%28 Aug →
vertigo8–80.1146%28 Aug →
vertigo9–40.1241%28 Aug →
inferno9–2-0.0433%28 Aug →
inferno7–90.0631%27 Aug →
inferno9–5-0.1110%27 Aug →
vertigo4–9-0.0641%27 Aug →
vertigo8–8-0.0125%27 Aug →
vertigo9–40.1210%27 Aug →
vertigo8–8-0.0620%27 Aug →
vertigo2–9-0.1527%27 Aug →
inferno8–8-0.0917%27 Aug →
inferno9–70.0320%27 Aug →
vertigo8–80.0533%27 Aug →
inferno4–9-0.039%27 Aug →
inferno9–6-0.0220%27 Aug →
inferno2–9-0.1371%27 Aug →
inferno9–20.1050%27 Aug →
inferno8–80.0117%25 Aug →
vertigo9–60.1432%25 Aug →
inferno9–60.1117%25 Aug →
inferno9–10.2931%25 Aug →
vertigo9–70.0332%25 Aug →
inferno6–9-0.1019%25 Aug →
inferno2–9-0.1133%25 Aug →
vertigo9–60.0311%24 Aug →

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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