fabrii

fabrii — CS2 Stats

76561198005702599[U:1:45436871]Steam profile ↗✓ No bans

2,345Tracked matches53%Win rate2023Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating16,298Purple band · top ~23.2% of ranked players (population est.)
FaceitLevel 5 · 979 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Aug 2026 (32 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.

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. 27 days played since 21 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,298 +962 28 Jun16 Aug · 2 days played
15,33616,298peak 16,29828 Jun16 Aug
16,635Peak Premier in tracked matches
979Highest Faceit ELO seen on CSDB
27Days played since 2026-06-21

Faceit ELO

  • At peak — 979
  • Next: Level 5 at 1,051 72 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 16,298
  • Next: Pink band at 20,000 3,702 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 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.GGfabriiFACEITLevel 5 · 979 ELOSTANDINGTop 67.6% of rankedPREMIER16,298 · Purple bandPEAK ELO979csdb.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

Aim61
Positioning39
Utility60

0–100 skill scores via Leetify.

Recent form

COLD47521Last 10047%Win rateWLLLLLLLWW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −1.3pp headshot accuracy · +9ms reaction

Win rate down 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 573ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 558ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 554ms

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: SupportUtility contribution stands above the rest of this profile (+2.6 against its own average).

Aim6.1
Utility6.0
Positioning3.9
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

Twistzz

Plays most like Twistzz 84% 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. 560ms 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

Aim6.1
Positioning3.9
Utility6.0
Mechanics5.2
Opening Duels0.8
Win Impact6.1

Composite 5.0/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time562ms−72ms
first ⅓ avg 635ms → last ⅓ avg 562ms
Headshot accuracy20.0%+0.4%
first ⅓ avg 19.6% → last ⅓ avg 20.0%

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

0.09Best match rating · 13–10 · anubis, 26 Jul
50%Best headshot accuracy · 5–0 · inferno, 19 Jul
258msFastest reaction time · 4–13 · ancient, 16 Aug
13–1Biggest win · ancient, 7 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
59In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 75% over 8mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientB23111248%-0.02
anubisB189950%-0.01
infernoC145936%-0.02
cacheC135838%-0.04
dust2S107370%-0.01
vertigoS86275%-0.02
mirageD82625%-0.02
nukeD62433%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

410Matches
50%Win rate
0.86Avg K/D
62.2ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient8562%0.9312.8
Anubis7047%0.9013.4
Dust26245%0.9012.9
Mirage5636%0.8012.0
Inferno3837%0.8311.8
Nuke3650%0.8312.1
Cache2348%0.7011.6
Overpass1974%0.8111.1

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.

20.3%Headshot accuracy
32.2%Accuracy (enemy spotted)
38.1%Spray accuracy
73.3%Counter-strafing
11.8°Preaim
560msReaction time
25.2%T opening success
36.8%CT opening success
0.63Enemies flashed / flash
11.7%Flash assists
13.65HE damage / grenade
10.21Flashes / 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. 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 25.1519% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–60.0315%6 Sept
inferno11–130.0128%6 Sept
dust25–13-0.0330%5 Sept
vertigo6–13-0.0426%5 Sept
cache1–13-0.0726%30 Aug
ancient9–13-0.0218%30 Aug
ancient14–16-0.0410%29 Aug
ancient7–130.0323%29 Aug
vertigo13–80.0213%29 Aug
vertigo13–90.0123%29 Aug
ancient19–16-0.0324%23 Aug
dust28–13-0.0524%23 Aug
vertigo13–7-0.0529%22 Aug
inferno5–13-0.1211%22 Aug
ancient13–6-0.0426%22 Aug
vertigo13–100.0321%22 Aug
ancient8–13-0.0320%16 Aug
ancient4–13-0.0817%16 Aug
cache5–13-0.0226%16 Aug
inferno13–5-0.0228%16 Aug
anubis13–110.0217%16 Aug
dust213–110.0626%16 Aug
nuke13–9-0.0024%16 Aug
inferno0–13-0.1010%16 Aug
ancient13–90.0321%16 Aug
mirage10–3-0.0432%16 Aug
anubis13–80.0210%16 Aug
ancient13–30.0310%16 Aug
inferno9–13-0.0611%15 Aug
anubis13–2-0.0114%15 Aug
cache10–13-0.0216%15 Aug
nuke13–70.0515%15 Aug
vertigo13–8-0.0620%14 Aug
dust25–13-0.0640%14 Aug
anubis9–13-0.0621%9 Aug
ancient13–9-0.0321%9 Aug
cache6–13-0.0616%9 Aug
vertigo13–80.0023%9 Aug
vertigo14–16-0.0325%7 Aug
mirage5–13-0.0328%7 Aug
cache11–13-0.0625%7 Aug
dust213–7-0.0322%7 Aug
ancient13–10.086%7 Aug
anubis13–60.0113%2 Aug
cache4–13-0.1016%2 Aug
dust213–60.0229%31 Jul
inferno13–60.0231%31 Jul
anubis13–80.0229%30 Jul
dust213–8-0.0243%26 Jul
mirage9–13-0.0219%26 Jul
ancient6–13-0.0221%26 Jul
inferno10–13-0.0427%26 Jul
cache13–70.0216%26 Jul
anubis13–100.0923%26 Jul
ancient10–13-0.0728%25 Jul
anubis6–13-0.0713%25 Jul
mirage6–13-0.0214%25 Jul
inferno11–13-0.0413%25 Jul
ancient13–8-0.0611%25 Jul
dust213–7-0.0214%25 Jul
anubis2–13-0.1224%25 Jul
dust213–10-0.018%24 Jul
anubis13–90.0118%24 Jul
inferno14–16-0.0229%24 Jul
nuke6–13-0.0233%21 Jul
anubis6–13-0.0322%20 Jul
ancient10–13-0.0217%20 Jul
mirage6–130.0326%20 Jul
ancient13–40.0218%19 Jul
cache4–13-0.148%19 Jul
anubis15–15-0.0412%19 Jul
cache16–120.0727%19 Jul
inferno5–00.0150%19 Jul
ancient9–13-0.0114%19 Jul
ancient10–13-0.0322%18 Jul
inferno9–130.0326%18 Jul
nuke6–13-0.0510%18 Jul
ancient13–70.0119%18 Jul
cache13–6-0.0617%18 Jul
anubis11–13-0.0123%18 Jul
dust213–50.0621%17 Jul
nuke9–13-0.0527%17 Jul
anubis13–90.0413%17 Jul
inferno13–4-0.0226%17 Jul
anubis14–16-0.0218%12 Jul
mirage11–13-0.0317%12 Jul
cache16–14-0.0421%12 Jul
anubis7–130.0212%12 Jul
inferno13–90.0423%12 Jul
anubis10–13-0.0216%11 Jul
ancient10–130.0115%11 Jul
cache13–11-0.0428%11 Jul
mirage6–13-0.0313%5 Jul
ancient13–10-0.0311%5 Jul
nuke8–13-0.0413%28 Jun
mirage13–11-0.0422%28 Jun
ancient8–13-0.093%28 Jun
inferno4–13-0.0221%28 Jun
anubis13–60.0039%21 Jun
cache8–130.0215%21 Jun

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 →