FabioCCC

FabioCCC — CS2 Stats

NL76561198320016124[U:1:359750396]Steam profile ↗✓ No bans

647Tracked matches46%Win rate2020Tracked since
CSDB Rating6.8 SolidSupport
FaceitLevel 9 · 1,941 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 647 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,899 +1,284 22 Sept – 10 Nov · 4 days played
21,61522,899peak 22,89922 Sept10 Nov
22,899Peak Premier in tracked matches
1,941Highest Faceit ELO seen on CSDB
52Days played since 2025-05-12

Faceit ELO

  • At peak — 1,941
  • Next: Level 10 at 2,001 — 60 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-04
  • Level 8 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.GGFabioCCCFACEITLevel 9 · 1,941 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,941csdb.gg/stats

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Performance scores

Aim87
Positioning63
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLLWWWLLWLT

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · +64ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 612ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 31%
  • Avg reaction 656ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 624ms

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 (+1.9 against its own average).

Aim8.7
Utility6.4
Positioning6.3
Opening Duels5.5
Clutch0.0

Sharp aimerExcellent 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

device

Plays most like device 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 614ms 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

Aim8.7
Positioning6.3
Utility6.4
Mechanics9.4
Opening Duels5.4
Win Impact3.8

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time611ms+10ms
first ⅓ avg 601ms → last ⅓ avg 611ms
Headshot accuracy29.4%−1.2%
first ⅓ avg 30.6% → last ⅓ avg 29.4%

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

0.17Best match rating · 13–4 · cache, 17 Jun →
59%Best headshot accuracy · 13–8 · cache, 29 Apr →
375msFastest reaction time · 5–13 · mirage, 17 Sept →
13–0Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 70% over 10trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%0.01
cacheA1810–856%0.03
dust2A149–564%0.04
nukeD113–827%0.03
infernoS107–370%-0.00
ancientD82–625%0.02
anubisA53–260%0.04
trainD51–420%0.08
vertigo—21–150%-0.02
grail—22–0100%0.03
italy—10–10%-0.01
overpass—11–0100%0.00
office—11–0100%-0.01
jura—11–0100%0.08

Across the last 100 tracked matches.

Faceit stats

Combat

241Matches
57%Win rate
1.43Avg K/D
86.6ADR
48%Headshot %

Clutches & streaks

17%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage580%2.0816.0
Ancient30%1.3622.0
Nuke20%0.8819.0
Dust2250%1.6016.0
Vertigo10%0.7311.0

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.

30.0%Headshot accuracy
33.3%Accuracy (enemy spotted)
31.1%Spray accuracy
92.4%Counter-strafing
7.3°Preaim
614msReaction time
50.3%T opening success
53.2%CT opening success
0.64Enemies flashed / flash
8.5%Flash assists
10.43HE damage / grenade
9.58Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0224%18 Jun →
inferno0–9-0.259%18 Jun →
cache13–40.1728%17 Jun →
inferno13–4-0.0325%17 Jun →
dust213–10-0.0033%12 Jun →
italy10–13-0.0143%29 May →
vertigo8–13-0.0336%29 May →
cache13–100.0726%29 May →
mirage1–13-0.0636%22 May →
cache12–12-0.0246%22 May →
cache13–110.0452%21 May →
mirage5–13-0.0721%21 May →
inferno9–130.0533%18 May →
nuke4–130.0335%18 May →
cache13–10.0921%16 May →
cache7–13-0.0218%16 May →
mirage5–13-0.119%16 May →
cache8–13-0.0136%14 May →
mirage6–13-0.0835%14 May →
cache13–110.0422%14 May →
cache13–11-0.0132%8 May →
mirage13–6-0.0338%8 May →
mirage11–130.0535%7 May →
ancient9–130.0326%7 May →
cache11–13-0.0317%3 May →
anubis13–110.0622%2 May →
cache13–50.0319%30 Apr →
cache13–50.0433%30 Apr →
cache13–90.1138%30 Apr →
cache12–12-0.0227%29 Apr →
cache11–130.0423%29 Apr →
cache9–130.0338%29 Apr →
cache8–130.0432%29 Apr →
cache13–8-0.0259%29 Apr →
train2–130.1153%22 Apr →
nuke13–70.1637%22 Apr →
nuke8–13-0.0548%8 Feb →
anubis1–40.0740%8 Feb →
nuke13–110.0953%26 Nov →
anubis13–70.0627%15 Nov →
dust213–80.0226%10 Nov →
nuke5–13-0.0523%10 Nov →
inferno13–50.1328%5 Nov →
train10–130.1020%5 Nov →
mirage15–150.0820%25 Oct →
dust213–00.0927%24 Oct →
dust29–130.0220%24 Oct →
mirage13–60.0414%23 Oct →
nuke14–160.0142%23 Oct →
ancient8–13-0.0037%23 Oct →
nuke9–13-0.0126%23 Oct →
overpass13–60.0050%15 Oct →
train13–80.0134%15 Oct →
inferno13–11-0.0028%9 Oct →
mirage13–70.0954%22 Sept →
mirage13–100.1214%18 Sept →
mirage5–13-0.058%17 Sept →
mirage9–130.0039%17 Sept →
dust213–70.0224%17 Sept →
dust213–160.0518%12 Sept →
dust213–70.0322%9 Sept →
dust27–130.0122%8 Sept →
mirage13–50.0336%8 Sept →
mirage13–30.1529%4 Sept →
dust213–100.0826%3 Sept →
ancient6–130.0115%3 Sept →
ancient13–70.0522%3 Sept →
dust22–11-0.0325%3 Sept →
dust213–00.0633%2 Sept →
inferno12–12-0.0129%2 Sept →
inferno13–50.0219%29 Aug →
nuke11–130.0530%5 Aug →
ancient2–9-0.0340%5 Aug →
mirage8–13-0.0333%5 Aug →
mirage13–8-0.0243%4 Aug →
mirage13–70.0237%22 Jul →
grail13–60.0942%8 Jul →
train3–130.1427%8 Jul →
ancient5–13-0.0814%25 Jun →
inferno13–9-0.0136%25 Jun →
inferno13–60.028%19 Jun →
mirage1–13-0.0629%19 Jun →
dust213–30.1438%19 Jun →
dust213–100.0339%17 Jun →
ancient11–130.0437%1 Jun →
anubis13–90.0528%1 Jun →
vertigo13–7-0.0220%1 Jun →
office13–10-0.0142%31 May →
grail13–11-0.0428%30 May →
jura13–20.0841%30 May →
nuke13–11-0.0128%30 May →
anubis6–13-0.069%30 May →
mirage13–10-0.0033%29 May →
ancient13–10.1441%29 May →
mirage13–90.0027%26 May →
mirage11–130.0823%23 May →
nuke11–130.0629%21 May →
dust28–130.0836%21 May →
train12–120.0228%18 May →
inferno13–90.0938%12 May →

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 →

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