Jonnyb_

Jonnyb_ — CS2 Stats

GB76561197962835452[U:1:2569724]Steam profile ↗✓ No bans

628Tracked matches62%Win rate2024Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating14,307Blue band · top ~32.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (2 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: 14,307 +1,661 7 Aug – 19 Oct · 38 days played
11,65014,307peak 14,3077 Aug19 Oct
14,349Peak Premier in tracked matches
36Days played since 2026-08-07

Premier CS Rating

  • At peak — 14,307
  • +1,425 over 30 days · improving
  • Next: Purple band at 15,000 — 693 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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

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CSDB.GGJonnyb_PREMIER14,307 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWWLLWWLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −3.4pp headshot accuracy · −11ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 651ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 637ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 642ms

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).

Aim6.3
Utility5.5
Positioning5.3
Opening Duels2.9

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning5.3
Utility5.5
Mechanics4.0
Opening Duels3.5
Win Impact9.0

Composite 5.3/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time603ms−27ms
first ⅓ avg 630ms → last ⅓ avg 603ms
Headshot accuracy22.0%+0.4%
first ⅓ avg 21.6% → last ⅓ avg 22.0%

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

0.24Best match rating · 13–1 · mirage, 15 Oct →
36%Best headshot accuracy · 13–10 · vertigo, 18 Sept →
383msFastest reaction time · 13–8 · inferno, 2 Oct →
13–1Biggest win · mirage, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 77% over 13anubisWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C2811–1739%-0.00
mirageB147–750%0.01
anubisC145–936%-0.02
infernoB136–746%-0.02
nukeS1310–377%0.03
cacheC94–544%-0.01
ancientB84–450%0.01
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.4%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.9%Spray accuracy
67.8%Counter-strafing
9.0°Preaim
613msReaction time
50.2%T opening success
37.9%CT opening success
0.51Enemies flashed / flash
3.9%Flash assists
8.37HE damage / grenade
10.16Flashes / 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 37.8743% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0018%19 Oct →
dust26–13-0.0033%19 Oct →
ancient16–120.0110%18 Oct →
ancient16–140.0626%18 Oct →
dust28–13-0.0718%17 Oct →
inferno8–13-0.0820%17 Oct →
inferno13–8-0.0523%17 Oct →
dust213–70.0227%17 Oct →
inferno4–13-0.0816%17 Oct →
cache13–60.1027%16 Oct →
dust215–150.0630%16 Oct →
nuke13–60.0528%16 Oct →
inferno13–10-0.0127%16 Oct →
mirage13–70.0528%16 Oct →
dust213–90.0019%15 Oct →
mirage13–10.2431%15 Oct →
dust213–5-0.0126%15 Oct →
inferno10–13-0.0120%15 Oct →
anubis7–13-0.0419%15 Oct →
dust213–90.0125%14 Oct →
anubis13–80.0120%14 Oct →
cache4–13-0.0524%14 Oct →
anubis8–130.0022%14 Oct →
dust214–120.0222%12 Oct →
anubis13–30.0523%12 Oct →
anubis8–13-0.0618%12 Oct →
nuke13–4-0.0424%12 Oct →
inferno11–130.0526%11 Oct →
anubis6–13-0.0415%11 Oct →
ancient13–40.038%11 Oct →
anubis5–13-0.009%11 Oct →
dust24–13-0.0519%11 Oct →
dust213–6-0.0224%9 Oct →
dust210–130.0120%9 Oct →
nuke13–5-0.0112%9 Oct →
cache13–90.0125%9 Oct →
mirage13–3-0.0618%8 Oct →
inferno13–3-0.0423%8 Oct →
dust22–13-0.0530%8 Oct →
mirage6–13-0.0616%8 Oct →
inferno13–11-0.0410%8 Oct →
mirage11–13-0.0335%8 Oct →
nuke13–90.0324%8 Oct →
mirage11–130.0219%7 Oct →
dust213–16-0.0221%6 Oct →
anubis13–60.0416%6 Oct →
ancient6–13-0.0625%6 Oct →
dust28–130.0117%4 Oct →
nuke13–160.0224%4 Oct →
cache9–13-0.0412%4 Oct →
dust23–130.0315%3 Oct →
dust27–13-0.0329%2 Oct →
inferno13–80.0117%2 Oct →
inferno11–13-0.0225%28 Sept →
mirage13–100.0111%23 Sept →
dust22–13-0.0827%23 Sept →
inferno7–130.0320%23 Sept →
mirage13–50.0933%23 Sept →
inferno13–60.0216%23 Sept →
nuke13–70.1024%23 Sept →
dust213–110.0416%20 Sept →
cache7–13-0.0628%19 Sept →
vertigo13–100.0736%18 Sept →
ancient15–150.0025%18 Sept →
mirage16–13-0.0220%14 Sept →
dust211–13-0.0130%13 Sept →
anubis4–13-0.106%13 Sept →
anubis13–80.0118%13 Sept →
dust213–80.0521%10 Sept →
cache13–6-0.0119%9 Sept →
anubis13–2-0.1015%9 Sept →
dust216–130.0123%9 Sept →
mirage13–7-0.0118%2 Sept →
anubis10–13-0.0718%31 Aug →
mirage2–13-0.0621%26 Aug →
nuke13–90.0718%24 Aug →
ancient6–13-0.0521%23 Aug →
dust24–13-0.0019%23 Aug →
nuke13–80.0127%22 Aug →
mirage9–13-0.0123%22 Aug →
ancient13–90.0517%19 Aug →
cache10–130.0118%18 Aug →
nuke13–20.0731%18 Aug →
dust27–130.0320%18 Aug →
anubis8–130.0215%18 Aug →
dust213–10.0128%18 Aug →
dust23–130.0528%13 Aug →
nuke13–80.0220%12 Aug →
ancient8–130.0332%12 Aug →
nuke13–100.0723%12 Aug →
dust27–13-0.0419%8 Aug →
mirage6–13-0.0318%8 Aug →
cache7–13-0.0923%8 Aug →
mirage15–15-0.0421%7 Aug →
cache13–80.0025%7 Aug →
dust210–130.0020%7 Aug →
anubis10–13-0.0222%7 Aug →
nuke8–130.0122%7 Aug →
inferno4–13-0.0226%7 Aug →
nuke9–130.0122%7 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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