ISACKER

ISACKER — CS2 Stats

76561198441996254[U:1:481730526]Steam profile ↗✓ No bans

687Tracked matches43%Win rate2020Tracked since
567Hours in CS
CSDB Rating4.0 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,398 +3,505 6 Jan – 2 Jul · 40 days played
8,46013,688peak 13,6886 Jan2 Jul
13,688Peak Premier in tracked matches
59Days played since 2026-01-06

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

Performance scores

Aim39
Positioning53
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLLWLLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.1pp headshot accuracy · −2ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 683ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 651ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 652ms

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 (+1.1 against its own average).

Aim3.9
Utility4.0
Positioning5.3
Opening Duels3.2

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 73% 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

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning5.3
Utility4.0
Mechanics4.4
Opening Duels2.6
Win Impact2.8

Composite 4.0/10 (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-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time652ms−26ms
first ⅓ avg 678ms → last ⅓ avg 652ms
Headshot accuracy11.8%+2.6%
first ⅓ avg 9.2% → last ⅓ avg 11.8%

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

0.10Best match rating · 9–13 · nuke, 5 Feb →
29%Best headshot accuracy · 5–13 · dust2, 25 Sept →
438msFastest reaction time · 8–13 · inferno, 10 Jan →
13–1Biggest win · anubis, 17 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 67% over 15ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2012–860%-0.00
nukeB189–950%-0.01
infernoS1510–567%0.01
dust2B147–750%-0.01
ancientC146–843%-0.00
overpassA117–464%0.01
anubis—41–325%-0.01
cache—30–30%-0.03
office—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,469Lifetime kills
0.96K/D
1,465Matches
46.1%Match win rate · Top 50% of tracked players
35.2%Headshot %
9.9%Shot accuracy
3,580MVPs
567Hours (in match)
2,136Bombs planted
262Bombs defused

Most-used weapons

Lifetime map wins

2,494inferno
1,958dust2
1,923nuke
1,204vertigo
289office
286train
274lake
137cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

12.2%Headshot accuracy
31.3%Accuracy (enemy spotted)
34.0%Spray accuracy
69.8%Counter-strafing
10.7°Preaim
643msReaction time
30.1%T opening success
50.6%CT opening success
0.41Enemies flashed / flash
2.0%Flash assists
4.06HE damage / grenade
13.43Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1712% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4148 — below the 0.5 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 30.1488% — below the 40% mark we flag

Spend your practice time on Ancient

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 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0225%5 Oct →
dust25–130.0229%25 Sept →
inferno13–7-0.018%25 Sept →
nuke6–13-0.1114%8 Sept →
cache6–130.0015%29 Aug →
dust216–13-0.0410%11 Aug →
dust28–130.0116%11 Aug →
cache10–13-0.0210%8 Aug →
ancient13–60.0513%8 Aug →
inferno13–5-0.018%5 Aug →
anubis8–130.016%19 Jul →
cache11–13-0.0623%14 Jul →
office5–130.0313%8 Jul →
mirage5–13-0.125%2 Jul →
mirage6–13-0.0416%2 Jul →
inferno13–10-0.0114%1 Jul →
nuke3–13-0.0220%25 Jun →
inferno4–13-0.0512%25 Jun →
dust213–60.029%22 Jun →
nuke12–1-0.000%21 Jun →
dust213–70.015%21 Jun →
ancient9–13-0.054%21 Jun →
mirage8–13-0.0810%20 Jun →
mirage13–9-0.0214%18 Jun →
nuke13–100.066%18 May →
overpass16–130.0413%18 May →
inferno8–130.0210%12 May →
anubis9–13-0.029%9 May →
inferno13–7-0.026%6 May →
dust213–5-0.0317%6 May →
ancient16–12-0.008%1 May →
overpass13–8-0.0610%30 Apr →
mirage13–110.0010%29 Apr →
mirage10–130.0221%29 Apr →
nuke1–13-0.1325%25 Apr →
mirage13–90.0618%22 Apr →
ancient16–120.0410%22 Apr →
ancient3–13-0.0610%17 Apr →
nuke13–70.0611%16 Apr →
dust27–13-0.076%16 Apr →
ancient14–160.068%11 Apr →
ancient12–16-0.033%9 Apr →
inferno13–30.0719%9 Apr →
nuke8–13-0.078%9 Apr →
inferno10–13-0.0114%7 Apr →
inferno13–9-0.0112%2 Apr →
dust213–6-0.0515%1 Apr →
nuke13–7-0.057%1 Apr →
inferno13–40.0912%1 Apr →
mirage3–130.0414%1 Apr →
nuke13–6-0.009%29 Mar →
overpass16–130.0714%29 Mar →
overpass13–70.0710%25 Mar →
nuke4–130.0513%20 Mar →
mirage13–60.0914%19 Mar →
ancient1–13-0.0515%4 Mar →
nuke9–13-0.078%24 Feb →
overpass7–13-0.0217%22 Feb →
overpass16–140.0415%18 Feb →
anubis13–1-0.0412%17 Feb →
mirage13–8-0.039%14 Feb →
inferno13–20.0319%7 Feb →
anubis13–160.0212%6 Feb →
mirage13–11-0.0115%5 Feb →
nuke9–130.107%5 Feb →
mirage13–90.017%5 Feb →
overpass8–13-0.059%28 Jan →
ancient5–13-0.0014%25 Jan →
inferno13–10.085%25 Jan →
nuke13–100.0210%25 Jan →
ancient11–130.048%25 Jan →
mirage6–13-0.0115%25 Jan →
dust213–8-0.0116%24 Jan →
mirage9–00.099%23 Jan →
nuke6–13-0.083%18 Jan →
overpass5–130.015%18 Jan →
dust213–50.0910%18 Jan →
mirage13–50.039%17 Jan →
nuke13–5-0.0112%17 Jan →
dust211–130.0014%16 Jan →
mirage13–11-0.0510%16 Jan →
inferno13–20.0511%16 Jan →
dust26–13-0.034%13 Jan →
overpass13–50.027%13 Jan →
dust213–16-0.059%11 Jan →
mirage13–80.045%11 Jan →
ancient13–10-0.0711%10 Jan →
overpass8–130.0617%10 Jan →
dust211–130.008%10 Jan →
nuke13–40.037%10 Jan →
overpass13–6-0.024%10 Jan →
inferno8–130.015%10 Jan →
nuke13–60.0210%10 Jan →
ancient13–5-0.047%9 Jan →
ancient2–130.0214%7 Jan →
ancient13–100.0613%7 Jan →
nuke7–13-0.0311%7 Jan →
mirage2–13-0.082%6 Jan →
mirage5–13-0.048%6 Jan →
mirage16–13-0.007%6 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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