Jannisinnaj

Jannisinnaj — CS2 Stats

SE76561198130611551[U:1:170345823]Steam profile ↗✓ No bans

2,400Tracked matches43%Win rate2022Tracked since
CSDB Rating4.7 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,040 → 1,040
+33Tracked matches · now 2,400
−3.3ppWin rate · 46.7% → 43.3%

Rating over time

Faceit ELO: 1,040 +0 10 Sept – 22 Sept · 3 observations
1,0401,040peak 1,04010 Sept22 Sept
1,040Highest Faceit ELO seen on CSDB
31Days played since 2026-08-23

Faceit ELO

  • At peak — 1,040
  • Next: Level 5 at 1,051 — 11 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-10
  • Level 3 first seen 2026-09-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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CSDB.GGJannisinnajPEAK ELO1,040csdb.gg/stats

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Performance scores

Aim62
Positioning46
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateLLWLLWLWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −4.3pp headshot accuracy · −52ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 567ms

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 (+2.9 against its own average).

Aim6.2
Utility6.3
Positioning4.6
Opening Duels0.4
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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

CT openings. Opening success drops from 47% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms 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

Aim6.2
Positioning4.6
Utility6.3
Mechanics6.6
Opening Duels2.1
Win Impact2.8

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time583ms+24ms
first ⅓ avg 559ms → last ⅓ avg 583ms
Headshot accuracy20.1%−0.2%
first ⅓ avg 20.3% → last ⅓ avg 20.1%

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

0.07Best match rating · 13–11 · vertigo, 25 Sept →
42%Best headshot accuracy · 13–10 · mirage, 21 Sept →
344msFastest reaction time · 13–4 · mirage, 30 Aug →
13–2Biggest win · cache, 30 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 54% over 26anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%-0.02
vertigoB2210–1245%-0.02
ancientC156–940%-0.02
anubisD124–833%-0.01
mirageC125–742%-0.02
infernoD62–433%-0.03
nuke—21–150%-0.01
cache—22–0100%0.00
overpass—10–10%-0.03
cbble_d—10–10%0.01
train—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

550Matches
49%Win rate
0.84Avg K/D
59.7ADR
44%Headshot %

Clutches & streaks

32%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage13051%0.8510.4
Dust213045%0.8410.8
Inferno10654%0.8011.8
Anubis6148%0.8511.9
Ancient4959%0.8912.7
Vertigo2241%0.8010.8
Nuke1953%0.8510.6
Train633%0.7313.0

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.

20.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
28.1%Spray accuracy
79.8%Counter-strafing
9.2°Preaim
578msReaction time
47.1%T opening success
29.0%CT opening success
0.60Enemies flashed / flash
8.2%Flash assists
7.20HE damage / grenade
12.32Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.9584% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo7–13-0.0638%12 Oct →
ancient5–13-0.0530%12 Oct →
anubis13–7-0.0311%12 Oct →
anubis1–13-0.0715%11 Oct →
ancient16–19-0.0713%10 Oct →
vertigo13–8-0.0212%10 Oct →
vertigo10–13-0.0219%9 Oct →
ancient13–6-0.0127%9 Oct →
anubis10–13-0.0114%9 Oct →
ancient13–4-0.0010%9 Oct →
dust212–16-0.0434%9 Oct →
vertigo10–13-0.0513%8 Oct →
vertigo13–8-0.0533%8 Oct →
anubis8–130.0631%8 Oct →
anubis9–13-0.0323%30 Sept →
overpass14–16-0.0326%30 Sept →
dust210–13-0.0413%27 Sept →
nuke13–80.0521%27 Sept →
vertigo13–40.0415%27 Sept →
dust25–13-0.0421%27 Sept →
mirage5–13-0.0823%25 Sept →
ancient13–110.0718%25 Sept →
dust22–13-0.0214%25 Sept →
vertigo13–110.0719%25 Sept →
vertigo11–130.067%24 Sept →
dust213–100.0126%24 Sept →
dust26–13-0.0221%23 Sept →
inferno13–4-0.0219%23 Sept →
anubis13–7-0.0317%22 Sept →
dust213–100.0221%22 Sept →
inferno13–11-0.0422%22 Sept →
dust213–10-0.039%22 Sept →
ancient6–13-0.0133%21 Sept →
nuke9–13-0.0830%21 Sept →
dust211–20.0015%21 Sept →
mirage9–13-0.0419%21 Sept →
vertigo11–13-0.0327%21 Sept →
ancient13–50.0217%21 Sept →
inferno8–13-0.0125%21 Sept →
mirage13–10-0.0142%21 Sept →
vertigo12–16-0.0525%21 Sept →
anubis13–6-0.0321%20 Sept →
ancient13–16-0.0721%15 Sept →
dust213–4-0.0317%15 Sept →
inferno14–16-0.0416%14 Sept →
mirage13–9-0.0329%14 Sept →
dust213–4-0.0017%13 Sept →
vertigo3–13-0.0823%13 Sept →
ancient13–40.0012%13 Sept →
dust213–110.0127%13 Sept →
inferno16–19-0.0211%11 Sept →
mirage13–110.0515%11 Sept →
cache13–9-0.0113%10 Sept →
dust213–10-0.0821%9 Sept →
mirage8–13-0.089%9 Sept →
vertigo16–12-0.008%9 Sept →
ancient10–13-0.0219%9 Sept →
vertigo13–5-0.0221%9 Sept →
mirage0–13-0.076%9 Sept →
dust27–13-0.0522%8 Sept →
vertigo6–13-0.0628%7 Sept →
cbble_d8–130.0123%7 Sept →
mirage13–70.0627%7 Sept →
dust210–13-0.0214%7 Sept →
vertigo13–6-0.0126%7 Sept →
ancient13–4-0.017%7 Sept →
inferno16–19-0.0518%1 Sept →
dust213–8-0.0316%1 Sept →
ancient14–160.0224%1 Sept →
dust211–13-0.0627%1 Sept →
vertigo8–13-0.0424%31 Aug →
anubis10–130.0218%31 Aug →
dust213–11-0.038%31 Aug →
mirage10–13-0.0314%31 Aug →
vertigo8–13-0.0315%30 Aug →
anubis13–3-0.0110%30 Aug →
cache13–20.029%30 Aug →
ancient6–13-0.0717%30 Aug →
mirage13–40.0425%30 Aug →
vertigo10–13-0.0214%30 Aug →
dust216–130.0124%30 Aug →
dust210–13-0.079%29 Aug →
dust213–80.0419%29 Aug →
mirage12–16-0.059%29 Aug →
vertigo7–13-0.0222%28 Aug →
dust214–16-0.0019%28 Aug →
anubis14–16-0.0130%27 Aug →
vertigo16–130.0227%27 Aug →
dust210–13-0.0324%27 Aug →
dust213–60.0125%26 Aug →
anubis5–130.0130%26 Aug →
vertigo13–10-0.0032%26 Aug →
ancient4–13-0.0323%26 Aug →
vertigo13–11-0.0414%26 Aug →
train3–13-0.0622%25 Aug →
dust25–13-0.068%25 Aug →
mirage10–13-0.0129%24 Aug →
dust213–90.0031%24 Aug →
ancient7–13-0.0231%24 Aug →
anubis14–160.0322%23 Aug →

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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