Rautasulttaani

Rautasulttaani — CS2 Stats

FI76561197986224464[U:1:25958736]Steam profile ↗✓ No bans

724Tracked matches37%Win rate2020Tracked since
CSDB Rating3.9 LearningPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,623 -639 2 Jul – 21 Jan · 42 days played
11,11014,999peak 14,9992 Jul21 Jan
14,999Peak Premier in tracked matches
53Days played since 2024-07-02

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

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

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Performance scores

Aim41
Positioning57
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateWLWWLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +3.7pp headshot accuracy · +156ms 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 791ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 790ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 712ms

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 (+1.9 against its own average).

Aim4.1
Utility1.5
Positioning5.7
Opening Duels4.2
Clutch3.8

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 76% 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. 752ms 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

Aim4.1
Positioning5.7
Utility1.5
Mechanics5.9
Opening Duels3.4
Win Impact0.6

Composite 3.9/10 (Learning), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time728ms+63ms
first ⅓ avg 666ms → last ⅓ avg 728ms
Headshot accuracy15.0%+0.1%
first ⅓ avg 14.9% → last ⅓ avg 15.0%

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

0.22Best match rating · 8–1 · ancient, 24 Jul →
35%Best headshot accuracy · 4–13 · mirage, 8 Jul →
523msFastest reaction time · 13–11 · nuke, 24 Oct →
13–2Biggest win · mirage, 26 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 58% over 12infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%0.00
nukeC188–1044%-0.01
vertigoD155–1033%0.00
mirageA127–558%0.00
ancientC114–736%-0.00
infernoD102–820%-0.00
anubisC83–538%-0.01
grail—10–10%-0.03
train—10–10%-0.01
mills—11–0100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

467Matches
48%Win rate
0.95Avg K/D
82.4ADR
33%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2245%1.1116.4
Anubis2250%1.1417.8
Inferno1828%0.9714.8
Dust21573%1.3517.5
Nuke1443%0.9013.6
Ancient1050%1.2817.4
Train683%1.0814.0
Vertigo333%2.4420.0

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.

15.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
39.4%Spray accuracy
76.5%Counter-strafing
12.3°Preaim
752msReaction time
36.4%T opening success
50.4%CT opening success
0.55Enemies flashed / flash
4.1%Flash assists
8.78HE damage / grenade
9.74Flashes / 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 12.2645° — above the 12° mark we flag

    Aim Training →
  2. 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 752.0782ms — above the 700ms mark we flag

    Aim Training →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–2-0.0222%26 Dec →
ancient12–16-0.0916%8 Sept →
dust213–80.0019%8 Sept →
ancient13–90.057%28 Jun →
grail1–13-0.0326%8 May →
ancient11–13-0.0323%4 May →
nuke13–80.0012%15 Apr →
ancient3–130.0223%7 Mar →
inferno7–130.038%27 Feb →
ancient1–13-0.0615%8 Feb →
nuke2–13-0.0521%21 Jan →
nuke10–13-0.0415%15 Jan →
mirage13–80.016%12 Jan →
dust214–16-0.069%11 Jan →
dust213–60.0714%11 Jan →
mirage13–60.0414%11 Jan →
vertigo13–90.0616%11 Jan →
dust210–130.0317%7 Jan →
dust213–60.1121%7 Jan →
vertigo11–130.000%6 Jan →
nuke16–140.0425%5 Jan →
train5–13-0.017%20 Nov →
mirage13–10-0.025%18 Nov →
dust214–160.0115%28 Oct →
inferno5–13-0.069%28 Oct →
vertigo10–130.0523%25 Oct →
nuke5–130.0130%25 Oct →
vertigo5–13-0.0319%25 Oct →
dust210–13-0.0811%25 Oct →
vertigo4–130.019%24 Oct →
vertigo3–130.0120%24 Oct →
anubis13–70.079%24 Oct →
mirage13–8-0.039%24 Oct →
nuke13–110.1023%24 Oct →
ancient4–13-0.094%23 Oct →
dust28–13-0.0528%23 Oct →
ancient13–40.1226%23 Oct →
nuke6–13-0.0415%23 Oct →
inferno5–13-0.0114%23 Oct →
nuke13–9-0.0114%22 Oct →
anubis13–100.0116%22 Oct →
anubis11–130.0016%22 Oct →
mirage13–100.079%21 Oct →
vertigo11–13-0.0220%21 Oct →
mirage10–130.0313%21 Oct →
dust213–70.0021%17 Oct →
vertigo14–16-0.074%17 Oct →
dust213–30.0131%16 Oct →
dust213–60.0713%16 Oct →
ancient8–00.0711%16 Oct →
nuke13–70.0714%15 Oct →
nuke0–13-0.050%15 Oct →
dust211–13-0.0312%14 Oct →
nuke9–13-0.0315%11 Oct →
vertigo7–130.0017%10 Oct →
ancient8–13-0.0811%9 Oct →
nuke13–6-0.053%9 Oct →
dust216–14-0.0311%9 Oct →
dust216–14-0.0623%8 Oct →
dust25–13-0.0918%8 Oct →
inferno13–110.0421%7 Oct →
vertigo13–90.0426%7 Oct →
dust215–150.0321%7 Oct →
inferno7–130.0916%7 Oct →
anubis2–13-0.0913%30 Sept →
mills13–8-0.0019%30 Sept →
nuke5–130.0433%29 Sept →
inferno13–16-0.098%12 Sept →
dust213–100.0420%31 Aug →
anubis12–16-0.0714%31 Aug →
vertigo13–70.0517%19 Aug →
vertigo10–10.0110%16 Aug →
inferno7–130.0219%15 Aug →
mirage8–130.0411%15 Aug →
anubis13–16-0.0114%13 Aug →
dust23–13-0.0316%10 Aug →
anubis11–13-0.0220%9 Aug →
nuke13–6-0.0423%8 Aug →
inferno13–50.078%7 Aug →
nuke11–13-0.0518%6 Aug →
inferno6–13-0.059%25 Jul →
mirage9–13-0.0314%24 Jul →
anubis13–8-0.0021%24 Jul →
ancient8–10.2213%24 Jul →
dust216–12-0.0313%24 Jul →
mirage7–13-0.048%22 Jul →
ancient4–13-0.123%22 Jul →
inferno9–13-0.0620%22 Jul →
vertigo9–13-0.0215%22 Jul →
dust211–13-0.0611%21 Jul →
vertigo2–13-0.0211%21 Jul →
mirage13–90.0218%21 Jul →
dust213–80.0219%21 Jul →
mirage4–13-0.0635%8 Jul →
nuke11–13-0.0214%8 Jul →
vertigo13–5-0.0418%3 Jul →
nuke13–9-0.0221%3 Jul →
dust213–20.1512%3 Jul →
dust213–40.058%2 Jul →
nuke13–16-0.0112%2 Jul →

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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