Ferdinand

Ferdinand — CS2 Stats

FI76561198035380902[U:1:75115174]Steam profile ↗VAC banned

1,383Tracked matches38%Win rate2020Tracked since
CSDB Rating6.2 SolidAll-Rounder
FaceitLevel 10 · 2,222 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,222 → 2,222
+20Tracked matches · now 1,383
+3.5ppWin rate · 34.5% → 37.9%
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. 51 days played since 22 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,223 -2,737 22 Mar28 Jun · 32 days played
21,22325,493peak 25,49322 Mar28 Jun
Faceit ELO: 2,222 +0 4 Sept11 Sept · 2 observations
2,2222,222peak 2,2224 Sept11 Sept
25,734Peak Premier in tracked matches
2,222Highest Faceit ELO seen on CSDB
51Days played since 2026-03-22

Faceit ELO

  • At peak — 2,222
  • Next: 2,500 ELO at 2,500 278 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-04
  • Level 9 first seen 2026-09-04

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

Share this profile

CSDB.GGFerdinandFACEITLevel 10 · 2,222 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,222csdb.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

Aim81
Positioning57
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45532Last 10045%Win rateWWLLLLWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.6pp headshot accuracy · −25ms 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 18%
  • Avg reaction 647ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 621ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 634ms

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.

Aim8.1
Utility6.0
Positioning5.7
Opening Duels4.0
Clutch5.6

Excellent counter-strafing

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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 635ms 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

Aim8.1
Positioning5.7
Utility6.0
Mechanics8.5
Opening Duels3.3
Win Impact1.0

Composite 6.2/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time640ms+8ms
first ⅓ avg 632ms → last ⅓ avg 640ms
Headshot accuracy19.3%−2.5%
first ⅓ avg 21.8% → last ⅓ avg 19.3%

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

0.21Best match rating · 13–2 · dust2, 25 Mar
50%Best headshot accuracy · 1–9 · nuke, 6 May
430msFastest reaction time · 7–0 · dust2, 29 Mar
13–2Biggest win · dust2, 25 Mar

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
118In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B30161453%0.03
cacheD1551033%0.01
nukeA149564%0.01
mirageD1431121%-0.01
anubisA117464%0.01
infernoD113827%0.00
ancient31233%0.03
overpass21150%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

432Matches
56%Win rate
1.22Avg K/D
86.4ADR
43%Headshot %

Clutches & streaks

48%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust23762%1.3817.9
Nuke3057%1.2816.4
Inferno2955%1.3620.0
Anubis2167%1.3116.1
Mirage1436%1.0314.1
Ancient944%1.2119.6
Cache825%0.9615.1
Train367%1.1214.0

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.

19.2%Headshot accuracy
38.9%Accuracy (enemy spotted)
39.3%Spray accuracy
88.0%Counter-strafing
9.3°Preaim
635msReaction time
38.9%T opening success
47.4%CT opening success
0.61Enemies flashed / flash
4.5%Flash assists
9.32HE damage / grenade
9.95Flashes / 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

    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 38.893% — below the 40% mark we flag

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–60.0121%18 Sept
dust213–50.1118%13 Sept
mirage7–13-0.0116%11 Sept
dust25–9-0.0113%11 Sept
cache1–80.0124%21 Aug
dust211–130.0120%21 Aug
cache16–140.0324%20 Aug
anubis13–100.0317%20 Aug
inferno6–130.0123%16 Aug
cache8–130.0630%13 Aug
dust24–130.0117%13 Aug
cache16–140.0114%11 Aug
cache15–150.0221%5 Aug
nuke13–110.0315%5 Aug
cache14–16-0.1013%3 Aug
dust213–110.1517%3 Aug
dust213–90.0113%1 Aug
anubis7–13-0.0414%1 Aug
cache3–120.0123%19 Jul
inferno9–130.0224%28 Jun
mirage5–13-0.0214%28 Jun
mirage6–130.0222%27 Jun
nuke16–140.0018%24 Jun
dust25–13-0.0526%24 Jun
anubis13–100.0316%12 Jun
dust213–30.0516%12 Jun
cache10–13-0.0233%12 Jun
mirage4–13-0.0417%2 Jun
dust25–80.0219%25 May
nuke9–13-0.0621%23 May
inferno13–8-0.0313%21 May
mirage5–13-0.0421%21 May
mirage7–130.0126%20 May
dust210–13-0.0013%20 May
inferno6–130.0112%17 May
dust210–130.0016%13 May
nuke13–110.0422%13 May
dust211–13-0.0020%10 May
dust28–13-0.0316%8 May
overpass8–13-0.0115%8 May
inferno6–13-0.029%7 May
ancient12–120.1621%7 May
cache11–130.0122%7 May
inferno13–50.0931%6 May
overpass8–1-0.0633%6 May
ancient13–50.0013%6 May
nuke1–9-0.0650%6 May
inferno13–40.1018%6 May
cache7–130.0325%4 May
anubis16–14-0.0114%4 May
cache13–30.1025%3 May
cache13–90.0315%2 May
cache13–110.0026%2 May
mirage9–13-0.0317%2 May
dust27–13-0.0524%2 May
cache5–13-0.0119%2 May
cache1–100.0026%29 Apr
anubis13–10-0.0125%26 Apr
dust211–13-0.0221%26 Apr
inferno11–13-0.0214%24 Apr
dust29–13-0.0925%20 Apr
anubis5–130.0122%20 Apr
dust213–11-0.0122%20 Apr
anubis6–130.0225%19 Apr
nuke13–80.0115%16 Apr
dust213–70.0829%16 Apr
dust213–70.0524%14 Apr
mirage13–90.0424%13 Apr
dust213–60.0147%13 Apr
anubis13–70.0119%12 Apr
nuke13–30.0631%12 Apr
nuke9–13-0.0216%12 Apr
mirage7–130.0019%11 Apr
dust28–130.0323%11 Apr
nuke12–160.0829%8 Apr
nuke13–90.1027%8 Apr
mirage3–13-0.0421%5 Apr
dust213–100.1418%5 Apr
nuke13–10-0.0211%4 Apr
mirage3–13-0.0713%4 Apr
dust213–70.0525%1 Apr
dust26–10-0.0126%1 Apr
nuke13–110.0021%1 Apr
nuke10–13-0.065%31 Mar
anubis13–60.0428%31 Mar
dust213–70.0625%31 Mar
mirage13–60.0830%30 Mar
dust213–80.0616%30 Mar
anubis13–110.0216%29 Mar
dust27–00.0920%29 Mar
anubis14–16-0.0216%28 Mar
dust213–8-0.0126%28 Mar
inferno4–13-0.0833%28 Mar
mirage9–130.0342%28 Mar
dust213–50.0017%28 Mar
ancient6–13-0.068%26 Mar
inferno11–13-0.0011%25 Mar
dust213–20.2123%25 Mar
inferno7–13-0.0816%22 Mar
mirage16–12-0.0120%22 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →