Jonas, lactose intolerant

Jonas, lactose intolerant — CS2 Stats

76561197999763175[U:1:39497447]Steam profile ↗✓ No bans

1,319Tracked matches57%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,438 → 1,438
+3Tracked matches · now 1,319
0.0ppWin rate · 56.7% → 56.7%
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. 18 days played since 17 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,638 +638 17 Jun4 Jul · 5 days played
20,00021,250peak 21,25017 Jun4 Jul
Faceit ELO: 1,438 +0 2 Sept20 Sept · 2 observations
1,4381,438peak 1,4382 Sept20 Sept
21,250Peak Premier in tracked matches
1,438Highest Faceit ELO seen on CSDB
18Days played since 2026-06-17

Faceit ELO

  • At peak — 1,438
  • Next: Level 8 at 1,531 93 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-02
  • Level 6 first seen 2026-09-02

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.GGJonas, lactose intolerantPEAK ELO1,438csdb.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
Positioning59
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateLLWLWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −5.2pp headshot accuracy · +15ms reaction

Win rate up 30pp 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 466ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 517ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 510ms

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 (+1.8 against its own average).

Aim7.4
Utility6.3
Positioning5.9
Opening Duels4.1
Clutch1.8

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 89% 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 →

CSDB Rating breakdown

Aim7.4
Positioning5.9
Utility6.3
Mechanics5.5
Opening Duels3.9
Win Impact7.2

Composite 5.7/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time523ms−31ms
first ⅓ avg 554ms → last ⅓ avg 523ms
Headshot accuracy21.4%+2.0%
first ⅓ avg 19.5% → last ⅓ avg 21.4%

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

0.16Best match rating · 13–11 · dust2, 18 Jun
45%Best headshot accuracy · 5–9 · poseidon, 28 Aug
375msFastest reaction time · 13–5 · inferno, 26 Jul
13–1Biggest win · ancient, 29 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
88In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 69% over 13dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA1810856%0.01
dust2D1541127%0.01
infernoS139469%0.02
anubisA117464%0.03
nukeA116555%0.02
ancientC114736%0.00
cacheA85363%0.01
overpass42250%-0.01
vertigo32167%0.01
debris21150%0.03
poseidon2020%-0.08
train1010%0.02
eldorado1010%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

98Matches
56%Win rate
1.28Avg K/D
89.2ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
30%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage956%1.3918.0
Dust24100%1.7218.0
Inferno425%1.4516.5
Nuke333%1.1117.3
Overpass1100%9.0018.0
Anubis10%1.2520.0
Ancient10%0.9211.0

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.

20.8%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.0%Spray accuracy
74.7%Counter-strafing
9.7°Preaim
535msReaction time
38.5%T opening success
53.0%CT opening success
0.68Enemies flashed / flash
7.5%Flash assists
12.56HE damage / grenade
8.26Flashes / 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 38.4764% — below the 40% mark we flag

Spend your practice time on Dust 2

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0318%4 Sept
train6–130.0215%4 Sept
anubis13–110.1217%4 Sept
overpass7–13-0.0213%29 Aug
nuke13–100.0221%29 Aug
ancient13–10.0321%29 Aug
mirage16–130.0126%29 Aug
cache13–90.0826%29 Aug
inferno19–150.0519%29 Aug
anubis9–130.0212%28 Aug
nuke9–130.0715%28 Aug
mirage13–80.0322%28 Aug
debris8–80.0422%28 Aug
nuke9–40.1217%28 Aug
inferno7–9-0.018%28 Aug
debris9–50.0131%28 Aug
eldorado7–9-0.0126%28 Aug
poseidon5–9-0.1045%28 Aug
anubis1–13-0.0735%14 Aug
dust211–130.0220%14 Aug
cache1–13-0.0914%14 Aug
ancient11–13-0.0520%14 Aug
cache13–10-0.0017%14 Aug
nuke13–100.0418%14 Aug
dust213–6-0.0027%14 Aug
anubis13–110.0132%14 Aug
nuke13–11-0.0126%8 Aug
anubis13–160.0414%8 Aug
dust210–130.0128%8 Aug
inferno13–50.1623%8 Aug
cache13–60.0010%8 Aug
anubis7–130.0130%8 Aug
mirage13–50.0517%8 Aug
ancient16–140.0223%8 Aug
dust29–13-0.0821%8 Aug
mirage13–60.0523%30 Jul
nuke15–190.0016%30 Jul
dust213–60.0515%30 Jul
ancient6–13-0.0112%26 Jul
inferno13–5-0.0524%26 Jul
nuke6–130.0623%26 Jul
inferno13–8-0.0117%26 Jul
mirage13–90.029%26 Jul
ancient15–150.0111%26 Jul
mirage8–13-0.118%26 Jul
nuke3–13-0.0914%26 Jul
nuke9–130.0220%25 Jul
inferno12–16-0.0617%25 Jul
mirage7–130.0218%25 Jul
dust25–130.0123%24 Jul
mirage4–130.0228%24 Jul
dust26–130.0414%24 Jul
ancient9–13-0.0217%24 Jul
cache6–13-0.0222%24 Jul
vertigo13–10-0.0023%24 Jul
poseidon5–9-0.0721%24 Jul
inferno11–130.0411%10 Jul
dust215–150.0022%10 Jul
cache13–80.0114%10 Jul
inferno13–20.1127%9 Jul
mirage13–7-0.0124%9 Jul
ancient13–60.0828%9 Jul
anubis16–120.0923%9 Jul
mirage1–13-0.1129%9 Jul
anubis16–13-0.039%8 Jul
dust27–13-0.0124%8 Jul
inferno13–100.0025%8 Jul
overpass13–30.0512%8 Jul
vertigo5–130.0220%7 Jul
inferno16–14-0.0023%7 Jul
anubis13–70.0710%7 Jul
ancient11–13-0.0022%7 Jul
dust25–13-0.0133%7 Jul
ancient13–90.0313%7 Jul
dust213–110.0526%7 Jul
cache14–160.0313%7 Jul
mirage10–130.0126%4 Jul
nuke13–20.0413%4 Jul
overpass13–6-0.0123%4 Jul
ancient8–13-0.0215%4 Jul
ancient10–13-0.0210%27 Jun
mirage13–9-0.0428%27 Jun
overpass9–13-0.0520%27 Jun
dust211–13-0.0223%26 Jun
inferno13–10-0.0117%26 Jun
dust20–9-0.058%26 Jun
mirage9–130.0413%26 Jun
cache7–10.0818%18 Jun
vertigo13–110.0122%18 Jun
inferno8–130.0925%18 Jun
dust213–110.1619%18 Jun
mirage13–40.1533%18 Jun
anubis13–90.0421%18 Jun
mirage13–80.0218%18 Jun
mirage13–100.0225%18 Jun
inferno16–130.0124%18 Jun
nuke13–4-0.0216%18 Jun
anubis16–130.0618%17 Jun
mirage9–130.0216%17 Jun
mirage13–160.0223%17 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 →