Thomsen JR

Thomsen JR — CS2 Stats

DK76561199138643301[U:1:1178377573]Steam profile ↗✓ No bans

164Tracked matches34%Win rate2023Tracked since
1,311Hours in CS3Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
Premier CS Rating2,538Grey band · top ~89.2% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (34 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: 2,538 +901 27 May – 1 Oct · 3 days played
1,0942,538peak 2,53827 May1 Oct
2,538Peak Premier in tracked matches
40Days played since 2026-05-11

Premier CS Rating

  • At peak — 2,538
  • Next: Light Blue band at 5,000 — 2,462 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate37.6%38.2%39.9%2.3% short
Shot accuracy14.0%3.6%7.0%above
Kill/death ratio1.020.830.92above
Match win rate29.5%40.2%42.3%12.7% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThomsen JRPREMIER2,538 · Grey 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

Aim41
Positioning64
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY30–67–3Last 10030%Win rateWLLWLLLWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +5.9pp headshot accuracy · −96ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 600ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 622ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 670ms

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 (+2.1 against its own average).

Aim4.1
Utility2.4
Positioning6.4
Opening Duels4.1

Strong CT-side opener

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

s1mple

Plays most like s1mple 73% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 718ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.1
Positioning6.4
Utility2.4
Mechanics3.4
Opening Duels5.6
Win Impact0.0

Composite 3.5/10 (Learning), 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+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time686ms−106ms
first ⅓ avg 792ms → last ⅓ avg 686ms
Headshot accuracy20.5%+0.0%
first ⅓ avg 20.5% → last ⅓ avg 20.5%

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

0.25Best match rating · 9–3 · vertigo, 22 Sept →
100%Best headshot accuracy · 0–8 · nuke, 5 Sept →
391msFastest reaction time · 2–9 · inferno, 18 Oct →
13–2Biggest win · ancient, 28 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–11In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 15% over 27
MapGradePlayedRecordWin rateAvg rating
nukeD274–2315%-0.03
infernoD256–1924%0.00
mirageC177–1041%0.01
dust2D134–931%-0.00
anubisA53–260%-0.00
overpass—40–40%-0.06
ancient—42–250%-0.01
vertigo—33–0100%0.18
cache—21–150%0.00

Across the last 100 tracked matches.

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

Lifetime stats

49,724Lifetime kills
1.02K/D · Top 25% of Grey band
3,351Matches
29.5%Match win rate
37.6%Headshot %
14.0%Shot accuracy · Top 25% of Grey band
3,588MVPs
514Hours (in match)
498Bombs planted
264Bombs defused

Most-used weapons

AK-476,190
AWP5,673
SSG 082,126
SG 5532,081
MP71,925
AUG1,771

Lifetime map wins

2,273dust2
1,358inferno
1,241nuke
783lake
508vertigo
221ar_shoots
169safehouse
73stmarc

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

Skill profile

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

20.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.9%Spray accuracy
65.2%Counter-strafing
12.0°Preaim
718msReaction time
49.3%T opening success
55.4%CT opening success
0.28Enemies flashed / flash
2.7%Flash assists
3.75HE damage / grenade
15.49Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 718.4348ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2758 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.1518%28 Oct →
nuke4–13-0.0421%28 Oct →
anubis0–13-0.0615%28 Oct →
nuke13–80.0624%21 Oct →
inferno6–130.0327%21 Oct →
inferno2–9-0.0933%18 Oct →
inferno7–90.1115%3 Oct →
inferno9–20.0911%3 Oct →
nuke5–9-0.0614%2 Oct →
anubis16–130.0015%1 Oct →
cache1–8-0.035%29 Sept →
cache13–30.036%27 Sept →
mirage9–13-0.0118%23 Sept →
inferno5–90.0816%23 Sept →
nuke2–9-0.0117%23 Sept →
vertigo9–30.2515%22 Sept →
nuke1–9-0.140%22 Sept →
dust210–130.0428%22 Sept →
mirage14–160.0216%20 Sept →
mirage3–130.0212%20 Sept →
mirage11–130.0124%19 Sept →
mirage13–50.0611%18 Sept →
nuke13–110.0216%18 Sept →
inferno5–9-0.0121%18 Sept →
overpass6–9-0.0617%10 Sept →
nuke13–70.0719%10 Sept →
inferno7–90.0319%10 Sept →
inferno3–130.0914%9 Sept →
inferno9–70.0422%9 Sept →
dust211–130.0326%9 Sept →
nuke1–9-0.0420%5 Sept →
dust26–13-0.0241%5 Sept →
nuke0–8-0.10100%5 Sept →
inferno4–9-0.1223%4 Sept →
nuke7–9-0.1533%4 Sept →
anubis3–120.0219%3 Sept →
dust23–130.0512%3 Sept →
inferno13–50.2023%2 Sept →
ancient2–13-0.0324%31 Aug →
nuke1–9-0.1922%31 Aug →
inferno5–90.016%31 Aug →
mirage7–13-0.037%31 Aug →
mirage13–100.0133%30 Aug →
inferno4–9-0.0812%13 Aug →
inferno1–9-0.1020%13 Aug →
inferno10–13-0.0116%29 Jul →
vertigo9–50.1918%29 Jul →
inferno4–80.1028%28 Jul →
inferno2–9-0.0721%28 Jul →
nuke15–15-0.0113%28 Jul →
ancient13–20.0319%28 Jul →
inferno7–13-0.0329%28 Jul →
mirage6–130.0310%27 Jul →
mirage7–13-0.0817%27 Jul →
dust23–13-0.0728%27 Jul →
nuke13–50.1615%27 Jul →
inferno9–5-0.0613%27 Jul →
anubis13–90.0512%27 Jul →
ancient13–9-0.0212%26 Jul →
inferno13–5-0.068%26 Jul →
overpass0–9-0.230%14 Jul →
nuke7–9-0.0424%14 Jul →
dust23–130.0019%8 Jun →
vertigo9–10.1011%8 Jun →
nuke0–7-0.150%28 May →
mirage13–40.0118%28 May →
mirage13–8-0.0430%27 May →
mirage13–7-0.048%27 May →
dust21–13-0.0425%26 May →
nuke4–9-0.078%26 May →
mirage13–4-0.0615%26 May →
dust213–5-0.0727%24 May →
nuke4–9-0.0617%24 May →
inferno5–9-0.0723%21 May →
nuke4–9-0.0730%19 May →
dust20–13-0.0336%19 May →
nuke7–90.2332%19 May →
dust213–100.0525%19 May →
nuke0–9-0.198%19 May →
nuke6–9-0.0027%18 May →
ancient11–13-0.0224%18 May →
nuke3–13-0.0229%18 May →
dust213–70.0622%16 May →
inferno13–60.0418%16 May →
dust22–13-0.045%16 May →
nuke3–90.0117%16 May →
mirage2–130.057%16 May →
nuke5–13-0.097%16 May →
dust213–60.0031%16 May →
nuke3–9-0.0027%15 May →
mirage9–130.0119%15 May →
overpass7–9-0.0231%15 May →
inferno2–9-0.1416%15 May →
nuke5–90.0723%15 May →
mirage7–130.0329%15 May →
anubis13–10-0.018%13 May →
nuke3–9-0.0717%13 May →
overpass7–90.0626%12 May →
inferno8–80.1119%12 May →
inferno8–8-0.0225%11 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.