TooMuchFjaka[.i.VAC.i.]

TooMuchFjaka[.i.VAC.i.] — CS2 Stats

76561199115935397[U:1:1155669669]Steam profile ↗✓ No bans

1,392Tracked matches48%Win rate2021Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating16,279Purple band · top ~23.3% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+291Premier CS Rating · 15,988 → 16,279

Rating over time

Premier CS Rating: 16,279 +1,563 14 Sept – 6 Nov · 17 days played
14,00019,143peak 19,14314 Sept6 Nov
19,644Peak Premier in tracked matches
17Days played since 2026-09-14

Premier CS Rating

  • 2,864 below peak (19,143)
  • -294 over 30 days · steady
  • Next: Pink band at 20,000 — 3,721 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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

Share this profile

CSDB.GGTooMuchFjaka[.i.VAC.i.]PREMIER16,279 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning47
Utility29

0–100 skill scores via Leetify.

Recent form

COLD56–41–3Last 10056%Win rateWWLLLWLLLL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +4.6pp headshot accuracy · +67ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 631ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 653ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.1
Utility2.9
Positioning4.7
Opening Duels0.4
Clutch3.2

Strong CT-side openerLimited utility dependence

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

iM

Plays most like iM 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 629ms 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

Aim7.1
Positioning4.7
Utility2.9
Mechanics7.1
Opening Duels1.3
Win Impact4.4

Composite 5.1/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time629ms+19ms
first ⅓ avg 610ms → last ⅓ avg 629ms
Headshot accuracy10.9%−2.7%
first ⅓ avg 13.6% → last ⅓ avg 10.9%

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.

Personal bests

0.16Best match rating · 13–4 · mirage, 6 Oct →
38%Best headshot accuracy · 13–4 · mirage, 9 Oct →
406msFastest reaction time · 13–4 · anubis, 13 Oct →
13–1Biggest win · mirage, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 89% over 9infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2715–1256%0.00
mirageA2113–862%-0.01
cacheC167–944%-0.01
infernoC146–843%-0.01
nukeS98–189%0.02
anubisA74–357%0.02
ancientB63–350%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

175Matches
54%Win rate
1.15Avg K/D
81.6ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3262%1.3016.8
Nuke2861%1.2116.9
Anubis2756%1.0415.4
Ancient2454%1.1716.7
Mirage2335%1.0416.1
Dust21547%1.1715.2
Cache944%0.9214.7
Vertigo862%1.1317.0

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.

11.4%Headshot accuracy
40.9%Accuracy (enemy spotted)
42.2%Spray accuracy
82.1%Counter-strafing
10.1°Preaim
629msReaction time
31.1%T opening success
39.3%CT opening success
0.56Enemies flashed / flash
8.6%Flash assists
2.51HE damage / grenade
2.56Flashes / 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 11.3857% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5603 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 31.0642% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.059%6 Nov →
nuke13–100.0313%6 Nov →
dust210–13-0.0217%6 Nov →
inferno11–13-0.027%6 Nov →
inferno11–13-0.036%6 Nov →
cache13–50.0519%5 Nov →
dust210–130.0013%5 Nov →
nuke5–130.0127%5 Nov →
inferno10–130.0512%5 Nov →
inferno13–16-0.0214%21 Oct →
anubis13–110.014%21 Oct →
cache3–13-0.036%21 Oct →
dust24–13-0.0513%16 Oct →
dust27–13-0.0813%16 Oct →
nuke13–70.0114%16 Oct →
inferno11–130.0012%16 Oct →
cache2–13-0.078%15 Oct →
cache13–10-0.065%15 Oct →
dust21–13-0.080%15 Oct →
dust213–11-0.0016%15 Oct →
dust213–40.109%15 Oct →
cache15–15-0.0211%15 Oct →
dust213–50.0414%15 Oct →
mirage16–14-0.0013%14 Oct →
mirage7–13-0.0612%14 Oct →
ancient11–130.015%14 Oct →
mirage13–60.058%14 Oct →
cache13–70.099%14 Oct →
dust213–70.0215%14 Oct →
inferno16–140.0416%14 Oct →
nuke16–130.018%14 Oct →
mirage10–13-0.0113%14 Oct →
nuke13–80.062%14 Oct →
mirage13–30.015%14 Oct →
mirage3–130.0013%14 Oct →
nuke13–80.0020%14 Oct →
mirage6–130.039%14 Oct →
dust28–13-0.067%14 Oct →
ancient13–9-0.0314%13 Oct →
inferno13–11-0.0312%13 Oct →
dust22–130.015%13 Oct →
anubis13–4-0.0119%13 Oct →
ancient13–11-0.024%13 Oct →
inferno13–100.0111%13 Oct →
anubis13–100.1112%13 Oct →
anubis8–13-0.089%12 Oct →
inferno12–16-0.016%12 Oct →
dust213–8-0.0312%12 Oct →
dust215–150.0313%12 Oct →
dust213–50.0115%12 Oct →
mirage13–11-0.045%12 Oct →
mirage8–13-0.0317%12 Oct →
mirage13–1-0.0629%12 Oct →
dust213–70.0319%12 Oct →
inferno13–50.1113%12 Oct →
cache7–13-0.0221%12 Oct →
dust213–110.0526%12 Oct →
dust29–130.0226%12 Oct →
dust213–90.0319%12 Oct →
dust26–130.0013%11 Oct →
anubis2–7-0.0517%11 Oct →
cache13–40.056%11 Oct →
inferno1–13-0.0913%10 Oct →
nuke13–60.119%10 Oct →
inferno13–5-0.0113%10 Oct →
nuke13–60.014%10 Oct →
dust213–3-0.0112%10 Oct →
anubis13–10.1313%10 Oct →
cache15–15-0.017%10 Oct →
cache8–13-0.057%10 Oct →
inferno7–13-0.0615%10 Oct →
dust27–13-0.0114%10 Oct →
dust213–4-0.004%10 Oct →
mirage5–13-0.0614%10 Oct →
ancient13–10-0.058%9 Oct →
mirage13–4-0.0138%9 Oct →
cache9–13-0.0111%9 Oct →
dust213–90.0117%8 Oct →
mirage5–13-0.098%8 Oct →
anubis10–130.0119%8 Oct →
cache4–130.0817%8 Oct →
cache13–11-0.0618%7 Oct →
mirage13–7-0.0614%7 Oct →
dust213–100.0111%6 Oct →
mirage13–40.1617%6 Oct →
cache7–13-0.0518%30 Sept →
dust25–13-0.0613%30 Sept →
cache16–130.0218%30 Sept →
cache13–10-0.0113%30 Sept →
mirage13–7-0.0311%30 Sept →
inferno16–14-0.029%30 Sept →
dust213–100.0812%30 Sept →
mirage13–7-0.0623%30 Sept →
ancient11–13-0.0413%30 Sept →
mirage13–8-0.015%30 Sept →
mirage2–13-0.1115%17 Sept →
ancient6–120.0112%17 Sept →
dust213–9-0.0418%17 Sept →
mirage13–90.1011%17 Sept →
mirage13–60.058%16 Sept →

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 →

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