F iNa TTic Z#

F iNa TTic Z# — CS2 Stats

76561198000267791[U:1:40002063]Steam profile ↗✓ No bans

1,282Tracked matches31%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
CSDB Leaderboard#64359 of 241099 tracked
FaceitLevel 8 · 1,710 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 6 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,065 -3,535 12 Dec25 Apr · 13 days played
21,06525,108peak 25,10812 Dec25 Apr
25,114Peak Premier in tracked matches
1,710Highest Faceit ELO seen on CSDB
25Days played since 2025-12-06

Faceit ELO

  • At peak — 1,710
  • Next: Level 9 at 1,751 41 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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

Share this profile

CSDB.GGF iNa TTic Z#FACEITLevel 8 · 1,710 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,710csdb.gg/stats

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Performance scores

Aim67
Positioning66
Utility66

0–100 skill scores via Leetify.

Recent form

COLD43516Last 10043%Win rateLLLWLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.5pp headshot accuracy · −81ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 547ms

Last 10

  • 28 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 600ms

Last 20

  • 6131 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 640ms

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 (+1.3 against its own average).

Aim6.7
Utility6.6
Positioning6.6
Opening Duels5.4
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.

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 77% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 650ms 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

Aim6.7
Positioning6.6
Utility6.6
Mechanics7.9
Opening Duels4.7
Win Impact0.0

Composite 5.7/10 (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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time644ms−12ms
first ⅓ avg 656ms → last ⅓ avg 644ms
Headshot accuracy19.4%−0.4%
first ⅓ avg 19.8% → last ⅓ avg 19.4%

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

0.15Best match rating · 13–3 · cache, 24 Aug
44%Best headshot accuracy · 7–13 · mirage, 18 Jan
406msFastest reaction time · 4–13 · ancient, 10 Sept
13–3Biggest win · cache, 24 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
91In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoD1961332%0.00
dust2D1861233%0.00
mirageB179853%-0.00
ancientB178947%-0.01
cacheC94544%0.05
anubisB84450%0.01
overpassC73443%0.01
nukeA53260%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

966Matches
51%Win rate
1.13Avg K/D
76.4ADR
41%Headshot %

Clutches & streaks

32%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno6856%1.0414.3
Ancient5949%0.9915.3
Dust25953%0.9612.9
Mirage5143%1.0315.2
Anubis3450%1.0113.7
Nuke1953%1.0613.7
Overpass1560%1.1817.6
Vertigo1164%1.0915.4

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.

19.0%Headshot accuracy
31.3%Accuracy (enemy spotted)
36.3%Spray accuracy
85.7%Counter-strafing
9.0°Preaim
650msReaction time
46.3%T opening success
51.7%CT opening success
0.60Enemies flashed / flash
8.4%Flash assists
13.47HE damage / grenade
7.07Flashes / match

Recommended for you

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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0721%22 Sept
ancient5–130.0430%10 Sept
mirage8–13-0.0322%10 Sept
dust213–110.0222%10 Sept
ancient4–13-0.0215%10 Sept
cache13–40.1225%10 Sept
cache8–130.0617%9 Sept
inferno5–13-0.0112%8 Sept
inferno6–130.0210%8 Sept
mirage13–16-0.0218%24 Aug
cache13–30.1512%24 Aug
mirage13–110.1222%24 Aug
ancient10–13-0.0121%24 Aug
nuke8–130.1218%8 Jul
cache12–120.0518%8 Jul
cache4–130.0218%8 Jul
cache13–100.0216%8 Jul
cache9–13-0.0318%8 Jul
cache13–50.0223%8 Jul
cache7–130.0310%8 Jul
inferno6–130.0126%12 Jun
dust24–13-0.034%12 Jun
inferno2–13-0.0621%12 Jun
ancient13–9-0.0017%25 Apr
inferno16–12-0.0518%25 Apr
anubis4–13-0.1319%8 Mar
mirage13–9-0.0233%8 Mar
dust27–13-0.0127%8 Mar
inferno13–160.0320%28 Feb
ancient11–130.0213%28 Feb
dust25–13-0.0035%27 Feb
anubis6–130.0421%27 Feb
ancient8–13-0.0719%27 Feb
mirage3–13-0.0736%27 Feb
dust213–70.0526%27 Feb
inferno15–150.0518%21 Feb
ancient13–10-0.0319%21 Feb
ancient3–13-0.0819%21 Feb
anubis16–13-0.0119%7 Feb
anubis13–80.0218%7 Feb
ancient13–60.0415%7 Feb
anubis13–70.0319%7 Feb
overpass2–13-0.078%7 Feb
dust25–130.0615%7 Feb
dust213–100.0416%7 Feb
anubis15–150.0712%6 Feb
inferno13–70.119%6 Feb
ancient16–130.0414%6 Feb
anubis13–30.0631%6 Feb
inferno13–80.0523%6 Feb
anubis7–130.0027%6 Feb
inferno8–13-0.0023%6 Feb
inferno13–10-0.0423%18 Jan
inferno15–150.0324%18 Jan
mirage7–13-0.0644%18 Jan
inferno4–13-0.0527%10 Jan
ancient8–13-0.0412%10 Jan
inferno2–13-0.0115%2 Jan
overpass13–90.0519%2 Jan
ancient15–150.0417%2 Jan
dust22–13-0.0922%30 Dec
nuke6–130.0316%30 Dec
inferno5–13-0.0121%30 Dec
inferno13–70.0535%30 Dec
ancient13–100.0723%29 Dec
overpass9–130.0526%29 Dec
dust24–13-0.0911%29 Dec
mirage13–80.0820%29 Dec
dust29–13-0.0223%29 Dec
inferno16–14-0.0112%27 Dec
dust25–13-0.0321%27 Dec
dust23–130.0617%27 Dec
overpass10–130.0426%27 Dec
ancient13–11-0.0726%27 Dec
dust216–14-0.0421%27 Dec
mirage2–13-0.0817%27 Dec
inferno8–13-0.0511%26 Dec
dust213–90.0418%26 Dec
mirage13–30.0331%26 Dec
dust29–130.0229%26 Dec
dust27–130.0227%26 Dec
nuke13–110.0417%26 Dec
overpass13–40.0622%26 Dec
dust219–170.0718%19 Dec
mirage13–70.0020%19 Dec
overpass16–130.0126%19 Dec
dust28–13-0.0514%19 Dec
mirage6–13-0.0613%19 Dec
nuke13–50.0320%17 Dec
nuke13–80.0227%17 Dec
mirage13–8-0.0230%17 Dec
mirage12–16-0.0626%17 Dec
ancient7–13-0.0613%17 Dec
ancient13–11-0.0023%17 Dec
mirage13–70.0719%12 Dec
overpass15–15-0.0413%12 Dec
mirage13–50.0114%12 Dec
ancient13–110.0311%12 Dec
mirage13–100.0317%12 Dec
inferno8–130.0114%6 Dec

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 →