Ralfemand

Ralfemand — CS2 Stats

76561197977288171[U:1:17022443]Steam profile ↗VAC banned

627Tracked matches48%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating17,768Purple band · top ~17.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (19 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: 17,768 +6,739 16 Aug – 9 Oct · 31 days played
8,04818,424peak 18,42416 Aug9 Oct
18,781Peak Premier in tracked matches
1,075Highest Faceit ELO seen on CSDB
70Days played since 2024-08-16

Premier CS Rating

  • 656 below peak (18,424)
  • Next: Pink band at 20,000 — 2,232 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGRalfemandFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,768 · Purple bandPEAK ELO1,075csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim38
Positioning44
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY41–57–2Last 10041%Win rateLLLLWLWWTW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −4.4pp headshot accuracy · +67ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 633ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 624ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 590ms

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 (+2.4 against its own average).

Aim3.8
Utility5.9
Positioning4.4
Opening Duels0.5
Clutch3.2

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 62% 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. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.8
Positioning4.4
Utility5.9
Mechanics4.1
Opening Duels1.6
Win Impact4.4

Composite 4.1/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time632ms−25ms
first ⅓ avg 658ms → last ⅓ avg 632ms
Headshot accuracy17.4%−0.3%
first ⅓ avg 17.7% → last ⅓ avg 17.4%

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 · 13–5 · ancient, 22 Sept →
50%Best headshot accuracy · 0–8 · dust2, 31 Aug →
406msFastest reaction time · 5–13 · dust2, 9 Oct →
13–1Biggest win · dust2, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
5–13In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 60% over 5mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2810–1836%-0.03
nukeB2614–1254%-0.01
infernoB2110–1148%-0.02
mirageD61–517%-0.03
cacheA53–260%-0.01
ancientD51–420%0.03
train—41–325%-0.03
anubis—31–233%0.01
overpass—10–10%-0.04
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,030Matches
50%Win rate
0.82Avg K/D
71.8ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust24665%0.9313.9
Nuke4353%0.8813.6
Inferno4058%0.8612.9
Mirage2045%0.9615.3
Ancient1638%0.9815.5
Overpass825%0.7814.0
Anubis540%0.609.8
Train425%0.8515.5

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.

18.1%Headshot accuracy
28.7%Accuracy (enemy spotted)
34.9%Spray accuracy
68.6%Counter-strafing
12.8°Preaim
617msReaction time
41.2%T opening success
31.4%CT opening success
0.60Enemies flashed / flash
2.2%Flash assists
6.84HE damage / grenade
11.47Flashes / 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 12.8075° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0930%9 Oct →
dust25–13-0.060%9 Oct →
inferno8–13-0.0312%8 Oct →
inferno10–13-0.0425%8 Oct →
dust213–3-0.0621%8 Oct →
dust26–13-0.0519%7 Oct →
nuke13–7-0.053%7 Oct →
nuke13–10-0.047%7 Oct →
nuke15–15-0.0415%3 Oct →
dust213–3-0.0515%3 Oct →
inferno5–13-0.0419%3 Oct →
dust28–13-0.084%23 Sept →
nuke9–13-0.0623%23 Sept →
nuke8–13-0.0318%22 Sept →
cache13–7-0.0217%22 Sept →
anubis7–13-0.0116%22 Sept →
nuke14–160.0119%17 Sept →
inferno14–16-0.0226%28 Aug →
cache7–13-0.0423%27 Aug →
nuke13–90.0626%27 Aug →
dust213–100.0114%20 Aug →
nuke13–10-0.0623%20 Aug →
inferno13–6-0.0416%19 Aug →
dust27–13-0.0416%19 Aug →
dust210–13-0.0113%13 Aug →
nuke13–5-0.0228%13 Aug →
inferno16–14-0.0627%10 Aug →
cache13–3-0.028%4 Aug →
nuke13–3-0.0330%4 Aug →
mirage13–110.0423%7 Jul →
cache13–30.1011%7 Jul →
inferno11–13-0.0417%5 Mar →
inferno9–13-0.0710%5 Mar →
inferno4–130.0732%19 Feb →
inferno13–60.0419%27 Nov →
inferno13–8-0.0340%13 Nov →
dust26–13-0.0224%13 Nov →
mirage11–13-0.0321%13 Nov →
ancient10–13-0.0122%12 Nov →
inferno16–140.0419%12 Nov →
nuke11–130.0511%16 Oct →
dust24–13-0.1020%17 Sept →
overpass8–13-0.049%9 Sept →
dust20–8-0.1050%31 Aug →
dust213–10.0116%1 Aug →
dust213–20.0519%26 Jul →
dust23–13-0.0217%24 Jul →
nuke9–13-0.0112%29 Jun →
dust25–13-0.0925%28 Jun →
inferno13–70.0519%22 Jun →
nuke9–130.0126%21 Jun →
nuke8–130.0030%21 Jun →
nuke17–19-0.0218%18 Jun →
dust29–130.0122%11 Jun →
mirage4–13-0.0216%23 May →
inferno13–110.0129%19 May →
nuke16–120.0112%12 May →
dust211–13-0.0620%30 Apr →
inferno3–13-0.0615%10 Apr →
nuke13–6-0.0116%7 Apr →
inferno4–13-0.0124%7 Apr →
dust213–10.0422%4 Apr →
nuke13–4-0.0122%21 Mar →
mirage2–13-0.0618%20 Mar →
inferno11–13-0.0613%18 Mar →
dust211–13-0.0411%12 Mar →
dust25–13-0.0633%27 Feb →
dust213–80.0119%22 Feb →
dust213–100.0111%22 Feb →
nuke11–13-0.068%17 Feb →
inferno13–6-0.0132%16 Feb →
dust26–13-0.047%10 Feb →
nuke13–30.0120%10 Feb →
dust23–13-0.0316%6 Feb →
train13–7-0.0116%6 Feb →
nuke13–80.0421%6 Feb →
dust216–14-0.0518%5 Feb →
inferno13–90.0019%16 Jan →
nuke13–3-0.058%16 Jan →
ancient11–13-0.008%28 Dec →
dust213–8-0.0413%23 Dec →
nuke5–130.0122%9 Dec →
nuke13–80.0216%5 Dec →
train10–13-0.0318%24 Nov →
mirage4–13-0.0622%22 Nov →
train6–13-0.0415%15 Nov →
train12–12-0.0419%15 Nov →
dust211–13-0.0226%7 Nov →
inferno9–13-0.0523%6 Nov →
vertigo11–13-0.0316%30 Oct →
mirage10–13-0.0410%29 Oct →
anubis7–13-0.0512%23 Oct →
inferno13–30.0513%18 Oct →
ancient7–13-0.0421%18 Oct →
dust29–130.0021%11 Oct →
ancient13–50.1530%22 Sept →
nuke8–13-0.0321%22 Sept →
anubis13–80.0921%21 Aug →
ancient10–130.0622%19 Aug →
nuke13–5-0.0420%16 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.