STRØM ツ

STRØM ツ — CS2 Stats

76561197961399583[U:1:1133855]Steam profile ↗✓ No bans

2,869Tracked matches33%Win rate2022Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating6,136Light Blue band · top ~73.4% 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 25 Oct 2026 (yesterday). 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: 6,136 +1,136 11 Sept – 25 Oct · 21 days played
4,6627,145peak 7,14511 Sept25 Oct
7,145Peak Premier in tracked matches
23Days played since 2026-09-11

Premier CS Rating

  • 1,009 below peak (7,145)
  • -335 over 30 days · steady
  • Next: Blue band at 10,000 — 3,864 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-10-05

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

Share this profile

CSDB.GGSTRØM ツFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER6,136 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning61
Utility46

0–100 skill scores via Leetify.

Recent form

COLD35–59–6Last 10035%Win rateTLLWLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · −61ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 569ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 568ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 599ms

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 against its own average).

Aim7.0
Utility4.6
Positioning6.1
Opening Duels3.2
Clutch2.6

Limited utility dependence

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: positioning profile, utility contribution.

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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 595ms 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

Aim7.0
Positioning6.1
Utility4.6
Mechanics7.0
Opening Duels6.5
Win Impact0.0

Composite 5.1/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time604ms+29ms
first ⅓ avg 575ms → last ⅓ avg 604ms
Headshot accuracy15.1%−0.2%
first ⅓ avg 15.3% → last ⅓ avg 15.1%

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

0.14Best match rating · 9–1 · inferno, 14 Sept →
100%Best headshot accuracy · 7–13 · inferno, 13 Oct →
406msFastest reaction time · 13–6 · ancient, 7 Oct →
13–3Biggest win · anubis, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 47% over 17ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD206–1430%-0.02
nukeB178–947%-0.02
anubisC167–944%-0.00
dust2D143–1121%-0.00
cacheD102–820%-0.02
mirageC94–544%0.00
ancientD61–517%-0.00
vertigo—31–233%-0.08
eldorado—22–0100%0.01
fachwerk—10–10%-0.12
train—10–10%-0.03
overpass—11–0100%-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

19Matches
37%Win rate
0.79Avg K/D
71.4ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient650%0.9614.0
Inferno425%0.498.0
Nuke367%1.1017.0
Mirage20%0.6610.5
Dust2250%1.0611.5
Overpass10%0.478.0

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.

14.9%Headshot accuracy
37.3%Accuracy (enemy spotted)
37.5%Spray accuracy
81.4%Counter-strafing
9.9°Preaim
595msReaction time
65.2%T opening success
47.2%CT opening success
0.49Enemies flashed / flash
3.9%Flash assists
14.18HE damage / grenade
4.60Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8976% — below the 15% 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 0.4944 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis15–150.0310%25 Oct →
dust211–130.0510%25 Oct →
mirage3–13-0.0718%25 Oct →
nuke13–11-0.0210%25 Oct →
mirage8–130.0510%24 Oct →
inferno13–100.0118%24 Oct →
dust26–13-0.039%24 Oct →
anubis13–11-0.058%24 Oct →
nuke9–130.0010%24 Oct →
inferno6–130.0018%24 Oct →
fachwerk2–13-0.1211%24 Oct →
nuke1–4-0.0513%24 Oct →
dust213–80.0129%21 Oct →
dust26–130.0319%16 Oct →
ancient6–13-0.039%16 Oct →
cache9–13-0.042%16 Oct →
cache3–13-0.037%16 Oct →
anubis13–70.0116%15 Oct →
mirage13–80.0813%15 Oct →
nuke11–13-0.066%15 Oct →
nuke10–13-0.0717%15 Oct →
inferno6–13-0.085%15 Oct →
anubis10–13-0.035%15 Oct →
nuke13–8-0.037%15 Oct →
inferno7–13-0.02100%13 Oct →
dust215–150.0319%13 Oct →
nuke13–90.0519%13 Oct →
dust26–13-0.0610%12 Oct →
train12–12-0.0313%12 Oct →
anubis13–4-0.0211%12 Oct →
mirage13–10-0.0513%9 Oct →
anubis13–70.0612%9 Oct →
nuke13–11-0.0423%8 Oct →
vertigo5–13-0.046%8 Oct →
inferno4–130.043%8 Oct →
dust28–130.0120%8 Oct →
cache10–13-0.0610%8 Oct →
inferno5–13-0.0116%8 Oct →
nuke13–70.1010%8 Oct →
ancient13–60.047%7 Oct →
ancient8–13-0.0210%7 Oct →
cache6–130.0113%7 Oct →
inferno3–13-0.047%6 Oct →
dust24–13-0.0217%6 Oct →
cache6–130.0012%6 Oct →
ancient5–13-0.0111%5 Oct →
nuke8–13-0.0210%5 Oct →
dust215–15-0.0125%5 Oct →
nuke5–13-0.0820%1 Oct →
anubis5–13-0.0415%1 Oct →
cache7–13-0.0624%1 Oct →
mirage0–13-0.0618%1 Oct →
dust213–110.0314%26 Sept →
inferno13–10-0.028%26 Sept →
mirage4–13-0.0124%26 Sept →
dust25–13-0.044%25 Sept →
mirage13–100.0711%24 Sept →
inferno3–13-0.114%24 Sept →
ancient3–13-0.0112%19 Sept →
ancient7–130.0211%19 Sept →
cache13–11-0.0120%19 Sept →
nuke8–13-0.0812%19 Sept →
anubis3–13-0.0810%19 Sept →
inferno15–150.0823%19 Sept →
anubis7–13-0.106%19 Sept →
anubis8–130.0119%19 Sept →
anubis6–130.0323%19 Sept →
dust213–70.0122%16 Sept →
eldorado9–60.0030%15 Sept →
eldorado9–30.0218%15 Sept →
vertigo1–9-0.178%15 Sept →
inferno6–9-0.1224%15 Sept →
inferno3–9-0.1024%15 Sept →
dust26–13-0.0619%15 Sept →
dust29–130.0219%15 Sept →
nuke13–100.0319%15 Sept →
inferno13–4-0.0111%15 Sept →
anubis16–120.0313%14 Sept →
mirage16–120.0318%14 Sept →
vertigo9–4-0.0220%14 Sept →
overpass9–7-0.0319%14 Sept →
nuke2–9-0.2110%14 Sept →
inferno8–8-0.0321%14 Sept →
inferno9–10.1426%14 Sept →
inferno5–9-0.1311%14 Sept →
cache6–13-0.0615%14 Sept →
inferno9–6-0.128%14 Sept →
nuke13–70.0517%13 Sept →
cache13–11-0.0211%13 Sept →
nuke13–9-0.018%13 Sept →
inferno13–40.048%13 Sept →
inferno10–130.0115%13 Sept →
cache10–130.018%13 Sept →
anubis13–9-0.009%13 Sept →
anubis13–30.0910%13 Sept →
anubis6–130.0114%13 Sept →
nuke6–130.0212%12 Sept →
anubis14–16-0.0312%12 Sept →
inferno4–130.049%12 Sept →
mirage10–130.0122%11 Sept →

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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