“Jano”

“Jano” — CS2 Stats

DE76561198294452888[U:1:334187160]Steam profile ↗✓ No bans

474Tracked matches55%Win rate2024Tracked since
616Hours in CS9Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating16,725Purple band · top ~21.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (4 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.

Rating over time

Premier CS Rating: 16,725 -813 10 Sept – 26 Oct · 24 days played
16,72519,425peak 19,42510 Sept26 Oct
19,425Peak Premier in tracked matches
37Days played since 2026-07-26

Premier CS Rating

  • 2,700 below peak (19,425)
  • -1,638 over 30 days · declining
  • Next: Pink band at 20,000 — 3,275 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate50.2%43.8%44.8%above
Shot accuracy5.0%12.0%12.4%7.4% short
Kill/death ratio0.801.021.030.23 short
Match win rate37.2%44.7%45.2%8.0% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG“Jano”FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,725 · Purple bandcsdb.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

Aim74
Positioning44
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWLLLTWWLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +5.2pp headshot accuracy · +64ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 609ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 612ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 580ms

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 (+0.9 against its own average).

Aim7.4
Utility4.7
Positioning4.4
Opening Duels2.0
Clutch4.0

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Reaction time. 576ms 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

Aim7.4
Positioning4.4
Utility4.7
Mechanics6.9
Opening Duels2.2
Win Impact6.7

Composite 5.7/10 (Solid), 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+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time574ms−68ms
first ⅓ avg 642ms → last ⅓ avg 574ms
Headshot accuracy21.1%+0.6%
first ⅓ avg 20.5% → last ⅓ avg 21.1%

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

0.17Best match rating · 13–1 · inferno, 4 Oct →
43%Best headshot accuracy · 7–13 · dust2, 29 Sept →
406msFastest reaction time · 3–9 · inferno, 26 Jul →
13–1Biggest win · inferno, 4 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 6nukeWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS2315–865%-0.01
infernoB2110–1148%-0.03
dust2D163–1319%-0.05
nukeD122–1017%-0.02
cacheA117–464%-0.03
ancientS64–267%-0.03
anubisC52–340%-0.06
vertigo—20–20%-0.03
debris—20–20%-0.14
poseidon—11–0100%0.03
eldorado—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,474Lifetime kills
0.80K/D
1,038Matches
37.2%Match win rate
50.2%Headshot % · Top 25% of Level 5 players
5.0%Shot accuracy
1,610MVPs
409Hours (in match)
536Bombs planted
138Bombs defused

Most-used weapons

Lifetime map wins

2,115dust2
921inferno
461nuke
56vertigo
20lake
14train
14safehouse
13ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

29Matches
41%Win rate
1.00Avg K/D
80.1ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2617%0.7112.3
Mirage540%1.0117.0
Ancient520%0.8514.0
Cache580%0.8915.2
Inferno333%0.9515.7
Anubis250%1.2018.5
Overpass10%0.8612.0
Nuke1100%0.8416.0

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.

21.3%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.8%Spray accuracy
81.0%Counter-strafing
9.5°Preaim
576msReaction time
42.1%T opening success
35.6%CT opening success
0.57Enemies flashed / flash
6.8%Flash assists
7.84HE damage / grenade
6.74Flashes / 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 35.5787% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0424%26 Oct →
cache13–10-0.0118%26 Oct →
nuke8–13-0.0230%25 Oct →
dust25–13-0.0420%25 Oct →
inferno5–13-0.0534%25 Oct →
mirage15–15-0.0121%21 Oct →
mirage13–5-0.0218%21 Oct →
mirage13–100.0124%21 Oct →
cache9–13-0.0620%18 Oct →
inferno13–80.0035%18 Oct →
inferno13–11-0.0331%17 Oct →
mirage2–13-0.0326%17 Oct →
nuke7–13-0.0824%17 Oct →
inferno13–11-0.0414%14 Oct →
ancient2–13-0.0314%14 Oct →
mirage13–110.0419%11 Oct →
inferno13–2-0.0212%10 Oct →
dust213–4-0.0820%10 Oct →
dust26–13-0.048%10 Oct →
cache13–5-0.0323%10 Oct →
inferno10–130.0521%10 Oct →
cache13–9-0.0011%8 Oct →
dust28–13-0.0132%6 Oct →
anubis7–13-0.0321%6 Oct →
mirage13–3-0.0115%6 Oct →
dust214–16-0.0319%5 Oct →
mirage13–4-0.0115%4 Oct →
inferno13–10.1725%4 Oct →
mirage13–4-0.0221%4 Oct →
cache13–10-0.0320%4 Oct →
mirage10–13-0.0114%4 Oct →
nuke11–13-0.0327%3 Oct →
dust23–13-0.1320%3 Oct →
dust213–16-0.0223%1 Oct →
anubis13–6-0.0412%1 Oct →
mirage13–70.0420%1 Oct →
cache8–13-0.0322%30 Sept →
cache6–13-0.0320%30 Sept →
mirage13–9-0.0127%30 Sept →
dust27–13-0.0343%29 Sept →
nuke9–13-0.0742%29 Sept →
nuke11–13-0.0125%28 Sept →
ancient13–10-0.0614%28 Sept →
inferno13–11-0.0420%28 Sept →
dust24–13-0.0727%27 Sept →
mirage13–60.0011%27 Sept →
dust214–16-0.0516%24 Sept →
inferno3–13-0.0819%24 Sept →
dust22–13-0.106%24 Sept →
ancient3–13-0.0113%24 Sept →
dust213–11-0.0820%23 Sept →
ancient13–4-0.0523%16 Sept →
mirage13–8-0.0315%16 Sept →
mirage13–10-0.0119%16 Sept →
mirage10–10.0311%16 Sept →
mirage13–100.0116%15 Sept →
mirage5–13-0.0818%14 Sept →
anubis7–13-0.0422%14 Sept →
dust215–15-0.0315%10 Sept →
nuke5–130.0319%10 Sept →
ancient13–10-0.0413%10 Sept →
inferno13–16-0.0212%8 Sept →
inferno1–13-0.0522%8 Sept →
mirage2–13-0.1313%6 Sept →
inferno6–13-0.0617%6 Sept →
cache13–11-0.0232%2 Sept →
dust23–13-0.0714%2 Sept →
cache11–13-0.0412%25 Aug →
inferno11–13-0.0216%25 Aug →
dust210–13-0.0226%25 Aug →
cache13–11-0.078%25 Aug →
anubis1–13-0.1310%25 Aug →
mirage13–30.0114%25 Aug →
nuke7–13-0.0616%25 Aug →
dust213–100.0120%24 Aug →
inferno9–13-0.094%24 Aug →
mirage11–130.0115%24 Aug →
inferno13–8-0.0512%23 Aug →
anubis13–11-0.0322%23 Aug →
mirage13–9-0.0323%23 Aug →
ancient13–60.0329%12 Aug →
vertigo5–9-0.0620%11 Aug →
nuke8–8-0.0425%11 Aug →
nuke9–7-0.0531%11 Aug →
inferno9–4-0.0633%11 Aug →
nuke2–130.0029%6 Aug →
debris6–9-0.1015%6 Aug →
inferno9–70.1120%6 Aug →
inferno13–11-0.069%30 Jul →
cache13–8-0.0418%30 Jul →
mirage10–13-0.0327%28 Jul →
vertigo8–80.0017%27 Jul →
inferno4–9-0.1628%27 Jul →
nuke9–20.0732%27 Jul →
poseidon9–20.0332%27 Jul →
nuke2–9-0.0321%27 Jul →
inferno3–9-0.1840%26 Jul →
eldorado4–9-0.0616%26 Jul →
inferno6–9-0.0026%26 Jul →
debris2–9-0.1712%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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