RosenHeinrich

RosenHeinrich — CS2 Stats

DE76561198127441337[U:1:167175609]Steam profile ↗1 game ban

865Tracked matches50%Win rate2020Tracked since
696Hours in CS
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 865 tracked matches. Play, then come back: the next observation lands here.

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. 53 days played since 16 Nov 2025. 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: 21,208 -1,124 17 Nov14 Jan · 13 days played
20,56022,386peak 22,38617 Nov14 Jan
22,386Peak Premier in tracked matches
53Days played since 2025-11-16

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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=11,988), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.0%42.7%43.8%1.8% short
Shot accuracy10.2%11.2%12.0%1.8% short
Kill/death ratio0.810.991.020.21 short
Match win rate44.7%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRosenHeinrichFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim59
Positioning46
Utility41

0–100 skill scores via Leetify.

Recent form

COLD44488Last 10044%Win rateLLLWWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.1pp headshot accuracy · +63ms reaction

Win rate down 20pp 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 -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 739ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 788ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 756ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim5.9
Utility4.1
Positioning4.6
Opening Duels1.9
Clutch2.0

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 90% 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. 737ms 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

Aim5.9
Positioning4.6
Utility4.1
Mechanics7.4
Opening Duels0.9
Win Impact5.0

Composite 5.0/10 (Developing), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time754ms+52ms
first ⅓ avg 702ms → last ⅓ avg 754ms
Headshot accuracy18.8%−0.6%
first ⅓ avg 19.4% → last ⅓ avg 18.8%

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 · 9–4 · poseidon, 4 Feb
56%Best headshot accuracy · 13–4 · palacio, 17 Nov
477msFastest reaction time · 10–13 · ancient, 3 Feb
12–0Biggest win · fachwerk, 10 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
88In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 67% over 9dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC156940%-0.05
nukeB126650%-0.04
dust2D123925%-0.02
ancientD113827%-0.03
vertigoS96367%-0.02
fachwerkD72529%-0.03
boulderA53260%-0.05
officeA53260%-0.02
overpass31233%0.01
mirage330100%-0.01
stronghold32167%-0.03
warden3030%-0.02
anubis3030%0.00
palacio32167%0.01
poseidon21150%0.09
cache220100%-0.03
sanctum110100%-0.06
train1010%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,063Lifetime kills
0.81K/D
2,021Matches
44.7%Match win rate · Top 50% of Level 4 players
42.0%Headshot %
10.2%Shot accuracy
3,558MVPs
696Hours (in match)
1,683Bombs planted
460Bombs defused

Most-used weapons

Lifetime map wins

2,779dust2
2,715inferno
1,725nuke
868vertigo
497train
295office
162cbble
119italy

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

Faceit stats

Combat

220Matches
49%Win rate
0.82Avg K/D
59.0ADR
46%Headshot %

Clutches & streaks

30%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust24745%0.8010.8
Nuke3738%0.7612.6
Inferno3551%0.8513.0
Ancient3367%0.8912.1
Anubis1753%0.8411.8
Mirage1631%0.7112.6
Vertigo1547%0.7912.3
Overpass1060%1.0814.2

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.

17.7%Headshot accuracy
37.7%Accuracy (enemy spotted)
36.0%Spray accuracy
83.4%Counter-strafing
10.8°Preaim
737msReaction time
32.1%T opening success
35.3%CT opening success
0.41Enemies flashed / flash
2.1%Flash assists
6.66HE damage / grenade
10.30Flashes / 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 736.9888ms — 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 0.4117 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 32.1395% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
boulder7–13-0.133%26 Aug
fachwerk8–13-0.0619%12 Aug
fachwerk1–13-0.1014%12 Aug
fachwerk13–10-0.0221%10 Aug
fachwerk12–00.0214%10 Aug
fachwerk8–130.0122%10 Aug
vertigo13–90.0018%4 Aug
ancient12–1-0.0019%4 Aug
inferno6–9-0.1035%3 Aug
boulder11–13-0.0710%2 Aug
boulder13–11-0.0610%25 Jul
boulder13–100.0313%24 Jul
fachwerk6–13-0.0829%24 Jul
fachwerk12–12-0.0123%21 Jul
boulder13–10-0.0214%21 Jul
poseidon6–90.0138%4 Jun
nuke3–90.0113%4 Jun
inferno7–90.007%4 Jun
vertigo13–50.0315%4 Jun
cache13–60.0315%1 Jun
cache13–10-0.0826%5 May
nuke13–9-0.0412%25 Mar
overpass12–120.0239%25 Mar
office13–60.0321%24 Mar
office2–13-0.1020%24 Mar
nuke13–110.0017%20 Mar
inferno7–9-0.120%17 Mar
inferno2–9-0.1650%17 Mar
dust28–130.0319%6 Mar
dust27–13-0.057%6 Mar
inferno11–130.0227%3 Mar
dust28–13-0.0413%3 Mar
dust213–8-0.0117%20 Feb
dust25–13-0.0413%12 Feb
dust29–13-0.0122%9 Feb
mirage16–13-0.0214%9 Feb
dust211–13-0.0014%8 Feb
ancient10–13-0.0612%8 Feb
dust211–13-0.0117%8 Feb
stronghold13–30.026%7 Feb
warden9–13-0.0214%7 Feb
inferno13–5-0.0518%6 Feb
dust213–5-0.0016%6 Feb
nuke13–40.0610%6 Feb
vertigo13–8-0.0629%5 Feb
warden8–13-0.0011%5 Feb
sanctum9–4-0.0618%4 Feb
poseidon9–40.1715%4 Feb
ancient10–13-0.0911%3 Feb
warden8–13-0.0321%2 Feb
stronghold4–1-0.0225%2 Feb
stronghold7–13-0.0918%1 Feb
ancient16–140.0316%14 Jan
inferno7–13-0.0619%14 Jan
overpass10–13-0.0217%13 Jan
inferno16–140.0319%10 Jan
inferno9–70.0230%8 Jan
ancient5–13-0.0821%7 Jan
mirage13–9-0.0214%7 Jan
office13–80.0813%23 Dec
anubis9–130.0113%23 Dec
ancient7–13-0.0517%20 Dec
inferno9–40.1415%20 Dec
nuke2–9-0.0816%20 Dec
vertigo9–30.0325%20 Dec
anubis12–12-0.0317%19 Dec
office13–7-0.0521%19 Dec
dust25–13-0.075%19 Dec
ancient13–9-0.0017%15 Dec
vertigo12–12-0.049%14 Dec
office8–13-0.0624%7 Dec
nuke13–11-0.1013%6 Dec
inferno0–9-0.2510%5 Dec
inferno8–8-0.0411%5 Dec
inferno9–50.0126%5 Dec
vertigo8–8-0.0417%5 Dec
vertigo9–4-0.1123%4 Dec
vertigo7–9-0.0318%4 Dec
inferno9–5-0.1218%4 Dec
dust215–15-0.0320%4 Dec
ancient13–10-0.0312%3 Dec
train2–13-0.0018%2 Dec
palacio13–90.0223%2 Dec
nuke3–13-0.0415%1 Dec
anubis3–130.0325%1 Dec
nuke13–5-0.1320%27 Nov
vertigo13–110.0127%26 Nov
nuke10–13-0.0823%26 Nov
nuke13–8-0.0313%25 Nov
inferno7–13-0.0416%25 Nov
nuke12–16-0.0021%19 Nov
ancient7–13-0.0718%19 Nov
nuke14–16-0.0610%19 Nov
ancient15–150.0324%18 Nov
palacio13–40.0256%17 Nov
dust216–14-0.0015%17 Nov
overpass13–30.0243%17 Nov
ancient9–13-0.049%17 Nov
mirage16–130.0122%17 Nov
palacio5–13-0.0022%16 Nov

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 →