Ratfu

Ratfu — CS2 Stats

GB76561198070890270[U:1:110624542]Steam profile ↗✓ No bans

2,136Tracked matches39%Win rate2021Tracked since
4,211Hours in CS19Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 2,136
+9.7ppWin rate · 29.6% → 39.3%

Rating over time

Faceit ELO: 1,136 +0 18 Sept – 30 Sept · 3 observations
1,1361,136peak 1,13618 Sept30 Sept
1,136Highest Faceit ELO seen on CSDB
22Days played since 2026-09-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches116——
Win rate43%——
K/D0.98——
Headshot %48%——

Measured 17 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate40.7%43.7%44.8%4.1% short
Shot accuracy14.4%12.0%12.4%above
Kill/death ratio1.041.021.03meets
Match win rate42.6%44.7%45.2%2.7% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRatfuFACEITLevel 5STANDINGTop 67.6% of rankedPEAK ELO1,136csdb.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

Aim72
Positioning64
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY39–53–8Last 10039%Win rateWLLLTLWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.8pp headshot accuracy · +22ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 531ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 571ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 560ms

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 (+1.4 against its own average).

Aim7.2
Utility4.6
Positioning6.4
Opening Duels4.4
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

jL

Plays most like jL 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 46% on CT — first contacts on the defending side are being lost.

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

Aim7.2
Positioning6.4
Utility4.6
Mechanics6.5
Opening Duels6.8
Win Impact1.4

Composite 5.9/10 (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 rating-0.02−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time563ms−6ms
first ⅓ avg 570ms → last ⅓ avg 563ms
Headshot accuracy16.3%−1.2%
first ⅓ avg 17.4% → last ⅓ avg 16.3%

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

0.12Best match rating · 13–6 · cache, 19 Sept →
41%Best headshot accuracy · 13–8 · cache, 18 Sept →
391msFastest reaction time · 6–13 · vertigo, 2 Oct →
13–1Biggest win · mirage, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–8In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 56% over 16ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA169–756%0.03
vertigoC156–940%0.01
nukeC146–843%-0.02
cacheC145–936%-0.00
infernoD124–833%0.01
ancientD122–1017%0.02
anubisD72–529%-0.04
dust2B63–350%0.05
train—42–250%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

194,335Lifetime kills
1.04K/D · Top 50% of Level 5 players
8,366Matches
42.6%Match win rate
40.7%Headshot %
14.4%Shot accuracy · Top 50% of Level 5 players
23,030MVPs
3,038Hours (in match)
6,927Bombs planted
1,649Bombs defused

Most-used weapons

AK-4786,772
AWP17,732
P2502,828
FAMAS2,755
SSG 082,538

Lifetime map wins

11,756dust2
7,523inferno
3,718nuke
2,898vertigo
1,653office
1,610train
1,100cbble
222dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

63Matches
56%Win rate
1.35Avg K/D
106.0ADR
42%Headshot %

Clutches & streaks

44%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.8418.7
Inferno367%1.9126.3
Nuke2100%1.2422.0
Train1100%1.8917.0
Ancient10%1.0017.0
Dust21100%2.1430.0

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.

17.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.2%Spray accuracy
79.2%Counter-strafing
10.4°Preaim
540msReaction time
68.1%T opening success
46.3%CT opening success
0.56Enemies flashed / flash
6.0%Flash assists
9.07HE damage / grenade
4.40Flashes / match

Recommended for you

Spend your practice time on Ancient

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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10.0715%12 Oct →
anubis6–13-0.085%12 Oct →
vertigo11–13-0.0713%12 Oct →
nuke2–13-0.0429%12 Oct →
inferno12–120.0311%12 Oct →
mirage4–20.000%12 Oct →
cache13–11-0.0513%12 Oct →
inferno11–130.0212%8 Oct →
vertigo13–90.0225%8 Oct →
nuke13–11-0.0123%7 Oct →
cache2–13-0.0617%7 Oct →
inferno13–40.0826%7 Oct →
mirage13–90.0415%7 Oct →
train6–13-0.0316%5 Oct →
ancient11–130.0326%5 Oct →
dust213–50.038%4 Oct →
anubis8–13-0.0510%3 Oct →
anubis13–80.0216%3 Oct →
mirage13–40.0235%3 Oct →
cache8–13-0.0622%3 Oct →
vertigo9–130.0612%3 Oct →
inferno8–13-0.0325%3 Oct →
ancient9–9-0.0712%2 Oct →
vertigo6–13-0.0413%2 Oct →
nuke5–4-0.180%2 Oct →
anubis12–12-0.0511%2 Oct →
cache2–13-0.0536%2 Oct →
mirage1–130.0226%2 Oct →
vertigo11–130.0813%1 Oct →
inferno13–7-0.0118%1 Oct →
nuke13–10-0.0610%1 Oct →
anubis10–13-0.104%29 Sept →
nuke9–13-0.0220%27 Sept →
cache6–13-0.0410%27 Sept →
ancient10–13-0.0520%27 Sept →
mirage13–30.0615%27 Sept →
vertigo12–12-0.0020%27 Sept →
inferno4–13-0.0425%27 Sept →
mirage12–120.0414%27 Sept →
vertigo3–13-0.0215%27 Sept →
inferno7–130.0921%25 Sept →
nuke7–130.0229%25 Sept →
vertigo13–11-0.0310%25 Sept →
mirage6–130.0015%25 Sept →
cache13–80.0111%24 Sept →
inferno6–13-0.0118%24 Sept →
ancient0–5-0.0325%23 Sept →
vertigo3–13-0.0415%22 Sept →
cache5–13-0.0323%22 Sept →
ancient12–120.1122%20 Sept →
mirage12–120.0422%19 Sept →
cache13–60.1225%19 Sept →
vertigo5–13-0.0419%19 Sept →
nuke4–12-0.0011%19 Sept →
nuke4–13-0.0726%18 Sept →
cache13–8-0.0241%18 Sept →
mirage13–90.0219%18 Sept →
nuke13–20.0418%17 Sept →
ancient7–130.0617%17 Sept →
cache4–130.0317%17 Sept →
nuke5–13-0.0021%17 Sept →
train1–13-0.0527%17 Sept →
ancient5–130.0324%17 Sept →
mirage11–10.0016%17 Sept →
mirage13–100.0411%17 Sept →
vertigo3–13-0.0014%17 Sept →
ancient7–13-0.0217%17 Sept →
anubis13–90.0317%17 Sept →
train13–80.0019%17 Sept →
cache4–130.0624%17 Sept →
nuke12–120.0619%16 Sept →
vertigo13–100.0814%16 Sept →
mirage6–13-0.056%16 Sept →
ancient8–13-0.0317%16 Sept →
mirage13–90.0718%16 Sept →
train13–2-0.0415%16 Sept →
nuke13–70.1022%16 Sept →
vertigo13–90.0214%13 Sept →
ancient13–10.1020%13 Sept →
inferno13–80.0017%13 Sept →
cache7–13-0.0422%13 Sept →
ancient13–70.1017%12 Sept →
inferno3–13-0.0813%12 Sept →
dust25–13-0.0226%12 Sept →
mirage6–130.0515%12 Sept →
cache13–50.1018%12 Sept →
dust211–130.0923%12 Sept →
dust212–10.056%12 Sept →
dust213–70.1134%12 Sept →
dust25–130.0110%12 Sept →
inferno7–90.0111%11 Sept →
vertigo13–80.0624%11 Sept →
ancient3–13-0.0314%11 Sept →
cache8–130.0325%11 Sept →
anubis5–13-0.0513%11 Sept →
nuke12–12-0.0717%11 Sept →
vertigo13–50.0614%11 Sept →
mirage13–80.0713%11 Sept →
nuke13–100.0217%11 Sept →
inferno13–40.0922%11 Sept →

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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