ferraRIPeak2

ferraRIPeak2 — CS2 Stats

76561198298620812[U:1:338355084]Steam profile ↗✓ No bans

693Tracked matches63%Win rate2023Tracked since
1,899Hours in CS13Hrs last 2 wks
CSDB Rating4.8 Developing
Premier CS Rating22,113Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#10277 of 37046 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate35.3%47.2%49.9%14.6% short
Shot accuracy1.3%12.7%13.4%12.1% short
Kill/death ratio1.161.091.12above
Match win rate49.6%46.6%48.4%above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

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CSDB.GGferraRIPeak2PREMIER22,113 · Pink bandcsdb.gg/stats

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Performance scores

Aim42
Positioning49
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52417Last 10052%Win rateWWLLWWLLWW

Last 10 vs previous 10: +10pp win rate · -0.05 avg rating

Player DNA

Aim4.2
Aggression5.8
Utility5.5
Positioning4.9
Opening Duels1.8
Clutch2.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.2
Positioning4.9
Utility5.5
Mechanics3.3
Opening Duels1.8
Win Impact9.3

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time611ms+13ms
first ⅓ avg 597ms → last ⅓ avg 611ms
Headshot accuracy12.9%−3.1%
first ⅓ avg 15.9% → last ⅓ avg 12.9%

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.

Highlights

0.22Best rating — dust2 13–4
131Biggest win — nuke
5Longest win streak
W2Current streak
515In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 48% over 21
MapGradePlayedRecordWin rateAvg rating
nukeB23121152%-0.00
infernoB21101148%0.02
ancientB21111052%0.01
anubisA159660%0.02
dust2A116555%0.04
cacheS64267%0.04
mirage2020%-0.05
vertigo1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (48% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,136Lifetime kills
1.16K/D · Top 50% of Pink band
2,727Matches
49.6%Match win rate · Top 50% of Pink band
35.3%Headshot %
1.3%Shot accuracy
6,136MVPs
982Hours (in match)
4,139Bombs planted
842Bombs defused

Most-used weapons

AK-477,241
AUG3,451
AWP3,195
SSG 082,684
MAC-102,648
SG 5532,114
MP92,016

Lifetime map wins

6,808dust2
4,305nuke
4,044inferno
1,465vertigo
396train
105office
38lake
14italy

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

Faceit stats

Combat

160Matches
51%Win rate
1.12Avg K/D
78.9ADR
38%Headshot %

Clutches & streaks

32%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3345%1.1116.5
Dust22650%1.2816.0
Nuke2361%1.0514.5
Inferno2357%1.3516.4
Mirage2148%0.9713.2
Anubis1338%0.9212.9
Overpass1155%0.9715.8
Train757%1.0015.1

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.

13.3%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.6%Spray accuracy
65.0%Counter-strafing
9.1°Preaim
627msReaction time
35.1%T opening success
39.6%CT opening success
0.54Enemies flashed / flash
4.3%Flash assists
6.96HE damage / grenade
16.21Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3282% — below the 15% mark we flag

    Aim Training
  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 35.1097% — 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.

48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0510%29 Aug
anubis13–9-0.0711%29 Aug
cache6–13-0.017%27 Aug
dust20–2-0.010%27 Aug
cache13–11-0.0213%25 Aug
nuke13–30.0313%25 Aug
anubis11–13-0.038%22 Aug
dust214–16-0.0214%22 Aug
ancient13–10-0.0115%22 Aug
ancient13–110.0118%4 Aug
nuke13–70.1215%4 Aug
nuke5–13-0.028%4 Aug
nuke8–130.0320%4 Aug
anubis13–20.0413%4 Aug
ancient13–70.028%3 Aug
inferno8–130.0420%2 Aug
ancient15–150.0214%1 Aug
ancient13–70.028%30 Jul
inferno13–100.0414%27 Jul
ancient7–13-0.0013%27 Jul
inferno15–15-0.0413%26 Jul
inferno13–70.0915%26 Jul
anubis13–100.0113%26 Jul
nuke13–5-0.0012%24 Jul
dust213–70.0715%23 Jul
nuke13–11-0.029%23 Jul
inferno15–150.0519%21 Jul
nuke11–130.0519%21 Jul
mirage5–13-0.055%20 Jul
dust213–4-0.0122%20 Jul
nuke13–10.1219%20 Jul
dust25–13-0.028%19 Jul
anubis7–13-0.0114%19 Jul
dust213–60.0518%19 Jul
nuke13–6-0.0218%19 Jul
nuke11–13-0.048%18 Jul
cache13–90.0415%18 Jul
nuke16–13-0.0210%18 Jul
ancient13–4-0.0524%18 Jul
inferno13–100.0518%18 Jul
anubis13–40.0818%18 Jul
dust214–16-0.029%17 Jul
ancient0–13-0.0710%17 Jul
nuke11–13-0.0622%16 Jul
cache13–40.0311%16 Jul
ancient6–13-0.0611%16 Jul
ancient10–130.0410%11 Jul
ancient13–90.0015%11 Jul
vertigo2–13-0.0220%6 Jul
mirage6–13-0.0410%6 Jul
nuke13–60.0415%3 Jul
nuke6–13-0.1019%22 Jun
nuke14–16-0.0314%20 Jun
anubis15–150.0215%20 Jun
nuke13–40.0121%20 Jun
nuke5–13-0.0110%20 Jun
nuke13–20.0312%20 Jun
ancient13–20.039%19 Jun
inferno13–30.0413%19 Jun
ancient11–130.0020%19 Jun
ancient13–90.0516%18 Jun
inferno13–8-0.0116%18 Jun
ancient13–50.0226%18 Jun
nuke10–13-0.0318%18 Jun
inferno11–130.0123%16 Jun
inferno11–130.0218%16 Jun
inferno11–130.0322%15 Jun
anubis16–130.1115%15 Jun
inferno9–130.0218%13 Jun
ancient14–160.0417%11 Jun
inferno13–110.0020%9 Jun
anubis16–140.039%9 Jun
anubis13–40.0820%5 Jun
dust213–40.2219%4 Jun
anubis12–160.0517%3 Jun
ancient6–13-0.0211%3 Jun
nuke13–16-0.0412%2 Jun
nuke13–8-0.0413%2 Jun
inferno7–130.057%2 Jun
inferno15–15-0.0019%28 May
nuke13–9-0.0216%27 May
ancient13–9-0.0111%27 May
inferno13–10-0.0111%27 May
anubis13–90.0113%26 May
anubis11–13-0.0417%25 May
anubis7–130.0120%21 May
ancient2–130.0211%21 May
dust215–150.0216%19 May
anubis13–80.0424%18 May
cache12–120.0613%1 May
cache13–40.1513%1 May
inferno13–70.0420%17 Apr
inferno9–130.0315%14 Apr
inferno13–60.0415%11 Apr
inferno2–120.0823%5 Apr
nuke14–16-0.0014%5 Apr
dust213–40.0920%5 Apr
ancient6–130.0419%21 Mar
ancient13–60.0925%19 Mar
dust213–10.0914%19 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 →