Ralle

Ralle — CS2 Stats

76561198840039728[U:1:879774000]Steam profile ↗✓ No bans

908Tracked matches60%Win rate2023Tracked since
746Hours in CS1Hrs last 2 wks
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating17,584Purple band · top ~18.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (10 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 31 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,584 +1,984 31 Mar13 Sept · 29 days played
12,99817,584peak 17,58431 Mar13 Sept
17,584Peak Premier in tracked matches
39Days played since 2026-03-31

Premier CS Rating

  • At peak — 17,584
  • +4,076 over 90 days
  • Next: Pink band at 20,000 2,416 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate49.5%44.3%46.9%above
Shot accuracy2.4%11.8%13.0%10.6% short
Kill/death ratio1.161.031.08above
Match win rate52.1%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRallePREMIER17,584 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning59
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWLWLLLLWWW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +0.1pp headshot accuracy · +48ms reaction

Win rate 0pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 619ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 627ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 603ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim6.4
Utility5.2
Positioning5.9
Opening Duels4.6

Strong CT-side openerLimited 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

jL

Plays most like jL 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 57% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim6.4
Positioning5.9
Utility5.2
Mechanics5.9
Opening Duels3.9
Win Impact8.3

Composite 6.0/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time609ms−37ms
first ⅓ avg 646ms → last ⅓ avg 609ms
Headshot accuracy21.6%−0.3%
first ⅓ avg 21.8% → last ⅓ avg 21.6%

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

0.15Best match rating · 13–3 · inferno, 16 Jun
48%Best headshot accuracy · 11–13 · inferno, 9 Apr
422msFastest reaction time · 13–3 · inferno, 16 Jun
13–0Biggest win · inferno, 16 Jun

Across the last 100 tracked matches.

Highlights

8Longest win streak
97In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 67% over 15infernoWeakest map · 36% over 28
MapGradePlayedRecordWin rateAvg rating
infernoC28101836%0.02
ancientA2112957%0.02
nukeB178947%0.04
anubisS1510567%0.02
dust2A85363%0.02
cacheC52340%0.01
overpass220100%0.10
mirage21150%0.01
fachwerk110100%0.04
vertigo110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,588Lifetime kills
1.16K/D · Top 25% of Purple band
1,039Matches
52.1%Match win rate · Top 10% of Purple band
49.5%Headshot % · Top 50% of Purple band
2.4%Shot accuracy
2,890MVPs
429Hours (in match)
1,089Bombs planted
353Bombs defused

Most-used weapons

Lifetime map wins

2,178inferno
1,228nuke
955dust2
502vertigo
472train
39cbble
37office
7assault

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.

21.4%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.0%Spray accuracy
76.6%Counter-strafing
9.0°Preaim
605msReaction time
34.0%T opening success
56.9%CT opening success
0.63Enemies flashed / flash
5.9%Flash assists
10.67HE damage / grenade
3.35Flashes / 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 3.3477 — below the 4 mark we flag

    Grenade Lineups
  2. 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 34.001% — 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.

36% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0618%13 Sept
inferno4–8-0.0525%13 Sept
fachwerk13–90.0421%8 Sept
nuke3–130.0217%8 Sept
inferno7–13-0.0424%8 Sept
anubis4–130.0333%8 Sept
nuke8–13-0.0420%8 Sept
ancient13–10-0.0513%7 Sept
dust213–7-0.0027%7 Sept
nuke13–100.1019%7 Sept
ancient8–130.0712%7 Sept
inferno1–13-0.0922%5 Sept
nuke14–160.0228%5 Sept
ancient4–13-0.0423%5 Sept
anubis13–50.0218%5 Sept
ancient16–13-0.0131%10 Aug
inferno13–80.0717%4 Aug
ancient13–100.0726%4 Aug
cache7–130.1019%13 Jul
dust213–20.1119%13 Jul
inferno13–110.0913%13 Jul
ancient1–13-0.1010%13 Jul
inferno13–110.0012%5 Jul
ancient13–100.0715%5 Jul
anubis13–90.0517%5 Jul
nuke13–50.1027%4 Jul
inferno7–13-0.0525%27 Jun
inferno13–4-0.0140%27 Jun
nuke13–70.1028%27 Jun
ancient13–7-0.0127%16 Jun
inferno13–30.1531%16 Jun
inferno13–00.0428%16 Jun
ancient13–10.029%16 Jun
ancient13–90.0614%16 Jun
overpass13–110.0921%16 Jun
anubis12–120.0524%15 Jun
nuke10–130.0524%15 Jun
nuke8–130.0136%15 Jun
ancient16–140.0416%15 Jun
anubis13–100.0526%15 Jun
nuke9–130.0515%15 Jun
nuke13–110.0416%15 Jun
ancient9–13-0.0222%13 Jun
dust213–70.0118%13 Jun
anubis16–130.0921%13 Jun
inferno9–13-0.0612%10 Jun
dust210–13-0.0710%10 Jun
ancient13–160.0414%9 Jun
dust29–13-0.0413%9 Jun
overpass13–50.1014%5 Jun
inferno10–130.1223%5 Jun
cache13–90.0519%5 Jun
vertigo13–110.0315%5 Jun
anubis13–80.0421%4 Jun
inferno11–130.0828%4 Jun
anubis13–60.0119%4 Jun
inferno13–9-0.0025%31 May
ancient10–130.0212%27 May
mirage10–13-0.0216%27 May
ancient13–40.0929%25 May
anubis3–8-0.0321%25 May
dust213–70.1319%25 May
inferno12–160.0221%22 May
inferno13–4-0.0425%22 May
nuke13–160.0528%21 May
nuke4–13-0.0419%21 May
inferno1–130.0238%21 May
anubis16–140.0729%21 May
ancient7–130.0215%21 May
inferno7–13-0.0132%21 May
inferno11–13-0.0216%21 May
anubis13–100.0512%20 May
mirage13–100.0321%20 May
ancient16–120.1219%19 May
nuke9–130.0113%16 May
inferno9–130.0428%16 May
cache2–13-0.0821%16 May
anubis13–60.0618%8 May
cache6–13-0.0017%8 May
inferno5–13-0.0116%8 May
inferno13–100.0127%3 May
cache13–8-0.0223%29 Apr
ancient10–130.0321%28 Apr
nuke13–90.1319%28 Apr
ancient13–110.0620%28 Apr
inferno11–13-0.0127%24 Apr
ancient8–13-0.0718%16 Apr
dust213–90.0320%16 Apr
nuke9–60.0112%10 Apr
inferno11–130.1148%9 Apr
inferno13–110.0824%9 Apr
inferno11–130.0427%7 Apr
nuke13–80.0322%7 Apr
nuke13–30.1121%5 Apr
dust211–130.0227%3 Apr
anubis10–13-0.0120%3 Apr
anubis4–13-0.0326%2 Apr
inferno6–130.0026%1 Apr
ancient13–6-0.028%31 Mar
inferno15–150.0228%31 Mar

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 →