antikka1

antikka1 — CS2 Stats

76561198108207726[U:1:147941998]Steam profile ↗✓ No bans

966Tracked matches27%Win rate2025Tracked since
CSDB Rating2.4 LearningSupport
Premier CS Rating1,632Grey band · top ~93.1% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 1,632 -161 15 May – 24 Oct · 18 days played
1,2531,918peak 1,91815 May24 Oct
1,937Peak Premier in tracked matches
47Days played since 2026-05-15

Premier CS Rating

  • 286 below peak (1,918)
  • +350 over 30 days · steady
  • Next: Light Blue band at 5,000 — 3,368 to go

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

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CSDB.GGantikka1PREMIER1,632 · Grey bandcsdb.gg/stats

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Performance scores

Aim15
Positioning38
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY33–59–8Last 10033%Win rateWWLLLLWWLL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −1.7pp headshot accuracy · +5ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 669ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 621ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 619ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim1.5
Utility5.0
Positioning3.8
Opening Duels0.0

Effective flashesLimited 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

iM

Plays most like iM 56% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 677ms 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

Aim1.5
Positioning3.8
Utility5.0
Mechanics4.5
Opening Duels0.8
Win Impact0.0

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time650ms−25ms
first ⅓ avg 675ms → last ⅓ avg 650ms
Headshot accuracy11.1%+0.4%
first ⅓ avg 10.7% → last ⅓ avg 11.1%

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

0.11Best match rating · 9–5 · inferno, 13 Oct →
38%Best headshot accuracy · 6–1 · dust2, 23 Jun →
359msFastest reaction time · 2–9 · inferno, 29 Jul →
13–2Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
8–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 41% over 32nukeWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
infernoC3213–1941%-0.07
dust2D248–1633%-0.05
nukeD206–1430%-0.06
mirageD93–633%-0.05
vertigo—41–325%-0.06
anubis—40–40%-0.06
ancient—30–30%-0.02
cache—32–167%-0.07
poseidon—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.2%Headshot accuracy
23.7%Accuracy (enemy spotted)
24.3%Spray accuracy
70.4%Counter-strafing
12.3°Preaim
677msReaction time
36.3%T opening success
25.2%CT opening success
0.73Enemies flashed / flash
4.2%Flash assists
7.83HE damage / grenade
4.81Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2634° — above the 12° mark we flag

    Aim Training →
  2. 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 11.1957% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0210%24 Oct →
nuke13–50.015%23 Oct →
mirage4–13-0.116%23 Oct →
nuke10–13-0.0321%13 Oct →
dust29–13-0.0112%13 Oct →
inferno11–130.0511%13 Oct →
inferno9–50.1110%13 Oct →
inferno9–6-0.044%13 Oct →
inferno4–9-0.018%13 Oct →
nuke6–9-0.104%11 Oct →
nuke9–13-0.088%8 Oct →
nuke7–13-0.0010%8 Oct →
poseidon6–9-0.0518%8 Oct →
inferno9–5-0.029%5 Oct →
nuke9–5-0.026%29 Sept →
inferno9–7-0.045%13 Sept →
nuke5–9-0.129%10 Sept →
nuke5–9-0.1318%10 Sept →
inferno9–2-0.1111%10 Sept →
inferno9–30.0215%10 Sept →
vertigo6–9-0.1115%10 Sept →
inferno8–8-0.1319%31 Aug →
inferno9–40.028%31 Aug →
inferno8–8-0.066%31 Aug →
inferno7–9-0.1615%30 Aug →
inferno1–9-0.2619%29 Aug →
vertigo9–7-0.028%24 Aug →
dust23–130.0019%22 Aug →
nuke5–13-0.0510%21 Aug →
nuke9–7-0.1120%20 Aug →
vertigo8–8-0.0613%20 Aug →
inferno6–9-0.135%20 Aug →
dust24–13-0.0410%20 Aug →
mirage11–13-0.0018%20 Aug →
mirage8–13-0.032%19 Aug →
inferno7–13-0.035%18 Aug →
dust213–9-0.0615%18 Aug →
nuke6–13-0.137%18 Aug →
dust213–90.0214%18 Aug →
anubis9–13-0.0715%17 Aug →
dust213–10-0.0611%17 Aug →
mirage13–100.0313%15 Aug →
ancient10–13-0.069%14 Aug →
dust27–13-0.0710%14 Aug →
anubis5–13-0.074%14 Aug →
anubis11–13-0.0414%13 Aug →
inferno5–13-0.0819%13 Aug →
cache7–13-0.1120%11 Aug →
cache13–5-0.0413%10 Aug →
mirage1–13-0.136%10 Aug →
nuke2–13-0.0412%9 Aug →
inferno13–6-0.032%9 Aug →
dust213–2-0.053%9 Aug →
dust26–13-0.012%9 Aug →
dust25–13-0.0911%7 Aug →
mirage13–6-0.068%6 Aug →
dust25–13-0.0613%5 Aug →
nuke10–13-0.087%5 Aug →
dust29–13-0.119%3 Aug →
dust213–7-0.029%3 Aug →
dust28–13-0.0811%2 Aug →
nuke13–11-0.026%30 Jul →
nuke12–16-0.069%30 Jul →
inferno0–9-0.2811%29 Jul →
inferno2–9-0.1725%29 Jul →
inferno7–9-0.015%29 Jul →
inferno3–9-0.185%29 Jul →
dust211–13-0.049%29 Jul →
dust213–11-0.0810%29 Jul →
inferno2–9-0.245%10 Jul →
inferno2–9-0.1816%10 Jul →
vertigo8–8-0.0413%6 Jul →
ancient11–130.015%28 Jun →
inferno8–80.0613%28 Jun →
inferno8–8-0.075%28 Jun →
ancient15–15-0.028%23 Jun →
dust26–10.0538%23 Jun →
nuke9–13-0.0611%22 Jun →
mirage9–13-0.077%22 Jun →
inferno13–60.027%22 Jun →
nuke4–9-0.129%18 Jun →
mirage13–11-0.039%17 Jun →
nuke2–13-0.0316%17 Jun →
inferno13–4-0.0913%14 Jun →
anubis4–13-0.078%14 Jun →
inferno13–8-0.018%14 Jun →
dust213–6-0.0212%14 Jun →
inferno9–6-0.0311%12 Jun →
inferno5–9-0.093%12 Jun →
dust22–13-0.0610%10 Jun →
inferno13–7-0.009%10 Jun →
inferno2–9-0.1431%10 Jun →
dust25–13-0.078%8 Jun →
dust210–13-0.0112%8 Jun →
cache13–11-0.068%27 May →
dust215–15-0.068%24 May →
mirage11–13-0.038%24 May →
dust23–13-0.075%24 May →
dust23–13-0.0913%22 May →
nuke16–14-0.038%15 May →

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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