Rantis

Rantis — CS2 Stats

FI76561198024642501[U:1:64376773]Steam profile ↗✓ No bans

1,137Tracked matches21%Win rate2020Tracked since
CSDB Rating5.7 SolidAll-Rounder
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 1,137
−12.5ppWin rate · 33.3% → 20.8%

Rating over time

Premier CS Rating: 23,471 +3,472 7 May – 27 May · 10 days played
19,99924,442peak 24,4427 May27 May
24,912Peak Premier in tracked matches
23Days played since 2026-05-03

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

Performance scores

Aim75
Positioning57
Utility44

0–100 skill scores via Leetify.

Recent form

COLD38–54–8Last 10038%Win rateWLWLLWLTLL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +3.4pp headshot accuracy · −31ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 502ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 517ms

Last 20

  • 3–15–2 · 15% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 533ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.5
Utility4.4
Positioning5.7
Opening Duels5.4
Clutch4.8

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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: utility contribution, aim profile.

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

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.5
Positioning5.7
Utility4.4
Mechanics7.5
Opening Duels5.2
Win Impact0.0

Composite 5.7/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time549ms−91ms
first ⅓ avg 640ms → last ⅓ avg 549ms
Headshot accuracy22.3%+0.5%
first ⅓ avg 21.8% → last ⅓ avg 22.3%

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

0.16Best match rating · 10–13 · vertigo, 31 Oct →
50%Best headshot accuracy · 5–0 · inferno, 3 May →
406msFastest reaction time · 3–13 · anubis, 31 Oct →
13–1Biggest win · ancient, 14 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 52% over 21cacheWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
ancientD237–1630%0.00
infernoB2111–1052%0.01
nukeC188–1044%-0.00
anubisC167–944%0.01
cacheD123–925%0.01
vertigoD62–433%0.01
dust2—30–30%-0.03
overpass—10–10%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

243Matches
51%Win rate
1.10Avg K/D
82.4ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
50%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis862%1.3316.6
Ancient757%1.4517.7
Nuke580%1.4625.6
Vertigo425%0.9820.8
Mirage1100%1.6922.0
Inferno10%1.1121.0
Dust210%0.8416.0

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.

21.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.2%Spray accuracy
83.7%Counter-strafing
9.5°Preaim
548msReaction time
53.6%T opening success
47.9%CT opening success
0.54Enemies flashed / flash
0.4%Flash assists
13.98HE damage / grenade
3.28Flashes / 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. Grenades & Utility

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

    Flashes per match 3.2831 — below the 4 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache11–00.1429%3 Nov →
ancient8–130.0320%3 Nov →
nuke13–80.0547%3 Nov →
vertigo5–13-0.0319%1 Nov →
ancient8–13-0.0032%1 Nov →
inferno12–50.0516%1 Nov →
cache5–13-0.0121%1 Nov →
cache12–120.0022%31 Oct →
vertigo10–130.1621%31 Oct →
inferno6–130.0319%31 Oct →
nuke6–130.0428%31 Oct →
ancient2–13-0.0420%31 Oct →
anubis3–130.0522%31 Oct →
anubis6–130.0917%13 Sept →
ancient5–130.0311%13 Sept →
cache5–13-0.0323%13 Sept →
vertigo12–12-0.0115%9 Sept →
inferno10–130.0422%9 Sept →
cache8–13-0.0524%9 Sept →
nuke3–13-0.0528%8 Sept →
cache12–120.0118%8 Sept →
nuke3–13-0.0513%7 Sept →
vertigo8–130.0032%7 Sept →
inferno13–7-0.0421%7 Sept →
cache12–120.0010%7 Sept →
anubis11–13-0.0127%6 Sept →
inferno12–120.0128%6 Sept →
ancient13–90.0211%6 Sept →
cache3–13-0.0120%6 Sept →
anubis12–120.0922%6 Sept →
cache8–130.0228%6 Sept →
inferno13–90.0220%6 Sept →
cache13–100.0632%5 Sept →
nuke4–13-0.0913%5 Sept →
anubis13–60.0119%5 Sept →
ancient12–12-0.0316%5 Sept →
vertigo13–8-0.0417%5 Sept →
inferno16–140.0121%4 Sept →
dust23–13-0.0222%4 Sept →
ancient11–13-0.0327%4 Sept →
anubis4–13-0.0717%4 Sept →
inferno9–13-0.0118%28 Aug →
cache6–60.0221%28 Aug →
nuke13–40.1521%28 Aug →
anubis13–110.0631%28 Aug →
ancient13–40.0027%3 Jul →
dust213–16-0.0431%3 Jul →
ancient16–140.0416%27 May →
ancient10–130.0727%27 May →
anubis8–13-0.0233%27 May →
inferno7–13-0.0115%27 May →
nuke13–3-0.0430%25 May →
anubis6–130.0015%21 May →
inferno4–130.0035%21 May →
inferno13–70.0419%21 May →
nuke9–130.0114%21 May →
nuke6–13-0.0522%21 May →
nuke8–130.0519%15 May →
dust28–13-0.0422%15 May →
overpass4–13-0.0115%14 May →
inferno4–130.0126%14 May →
ancient6–130.0235%14 May →
nuke13–6-0.0226%14 May →
nuke13–10-0.0221%14 May →
ancient13–10.0623%14 May →
ancient13–50.0114%14 May →
anubis4–13-0.0710%14 May →
inferno13–8-0.0132%14 May →
inferno11–130.0111%13 May →
nuke3–130.0116%13 May →
ancient15–150.0420%13 May →
ancient4–13-0.0232%13 May →
inferno10–130.0714%11 May →
ancient6–13-0.0429%11 May →
inferno7–13-0.0310%11 May →
ancient9–13-0.0629%10 May →
anubis11–30.0325%10 May →
ancient6–130.0524%10 May →
anubis13–40.0421%10 May →
ancient9–13-0.0423%10 May →
anubis6–10.0827%10 May →
anubis8–13-0.0211%10 May →
ancient13–7-0.0120%10 May →
nuke4–13-0.0713%10 May →
nuke12–20.0922%9 May →
inferno13–11-0.0428%9 May →
anubis13–9-0.0327%9 May →
nuke13–100.0120%9 May →
cache6–13-0.0810%9 May →
inferno13–90.0022%9 May →
ancient7–13-0.0218%9 May →
ancient5–130.0124%9 May →
inferno13–7-0.0018%9 May →
anubis13–90.0019%9 May →
inferno13–50.0533%7 May →
ancient13–110.0221%7 May →
nuke13–10-0.018%7 May →
nuke10–13-0.0325%3 May →
inferno5–00.0050%3 May →
vertigo13–50.0018%3 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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