☂ Reinhardt Stecken ☂ © — CS2 Stats

76561197989574837[U:1:29309109]

2,142Tracked matches56%Win rate2020Tracked since
4,905Hours in CS35Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating18,498Purple band · top ~14.5% of ranked players (population est.)
CSDB Leaderboard#12137 of 24046 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate35.6%44.1%47.2%11.6% short
Shot accuracy12.5%11.4%12.7%0.3% short
Kill/death ratio1.191.031.09above
Match win rate43.8%45.2%46.6%2.8% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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CSDB.GG☂ Reinhardt Stecken ☂ ©PREMIER18,498 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning45
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY464212Last 10046%Win rateLLLWWLLWTW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression5.1
Utility6.3
Positioning4.5
Opening Duels1.5
Clutch3.2

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.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim6.3
Positioning4.5
Utility6.3
Mechanics5.0
Opening Duels1.8
Win Impact7.0

Composite 5.4/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time580ms−47ms
first ⅓ avg 627ms → last ⅓ avg 580ms
Headshot accuracy15.3%−1.2%
first ⅓ avg 16.5% → last ⅓ avg 15.3%

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.

Highlights

0.22Best rating — italy 13–3
131Biggest win — mirage
4Longest win streak
L3Current streak
97In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 70% over 23anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C27121544%0.02
infernoS2316770%0.02
nukeC1661038%0.02
cacheC104640%0.01
ancientD72529%0.01
anubisD51420%-0.02
boulder3030%0.01
shelter21150%0.08
mirage21150%-0.00
office21150%0.01
train110100%0.07
vertigo1010%-0.05
italy110100%0.22

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,604Lifetime kills
1.19K/D · Top 25% of Purple band
6,887Matches
43.8%Match win rate
35.6%Headshot %
12.5%Shot accuracy · Top 50% of Purple band
15,836MVPs
2,658Hours (in match)
8,177Bombs planted
1,936Bombs defused

Most-used weapons

AK-4720,721
P9015,869
AWP10,401
MP77,245
SG 5536,888
AUG6,660
MAC-104,831

Lifetime map wins

13,982dust2
9,679inferno
4,956nuke
2,593vertigo
2,413office
2,034train
270cbble
179italy

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

Faceit stats

Combat

204Matches
56%Win rate
1.14Avg K/D
75.1ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust23757%1.0214.7
Inferno2264%1.2215.3
Nuke1662%1.0014.9
Anubis1369%1.2814.2
Mirage540%0.9717.8
Ancient475%1.1113.0
Vertigo3100%1.119.7
Overpass20%0.8215.0

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.

15.6%Headshot accuracy
36.5%Accuracy (enemy spotted)
40.0%Spray accuracy
72.7%Counter-strafing
11.4°Preaim
568msReaction time
27.1%T opening success
44.5%CT opening success
0.64Enemies flashed / flash
2.0%Flash assists
10.42HE damage / grenade
10.14Flashes / 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 27.1042% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–130.0416%28 Aug
anubis1–13-0.0612%28 Aug
boulder10–130.0317%27 Aug
shelter2–00.200%27 Aug
cache13–8-0.0121%27 Aug
dust29–130.0118%26 Aug
cache3–130.0518%26 Aug
dust213–90.0611%26 Aug
inferno15–150.0515%25 Aug
inferno13–110.009%25 Aug
boulder2–13-0.0113%24 Aug
inferno13–40.0211%24 Aug
anubis13–60.0313%24 Aug
mirage13–10.0818%23 Aug
dust210–130.0414%23 Aug
dust29–130.0813%21 Aug
office6–13-0.0410%21 Aug
inferno13–40.0024%21 Aug
dust213–20.1015%21 Aug
inferno12–12-0.0112%20 Aug
inferno15–15-0.0113%20 Aug
dust212–120.019%19 Aug
cache12–120.1115%19 Aug
cache13–8-0.0216%17 Aug
dust213–10-0.0522%17 Aug
dust213–11-0.0717%17 Aug
dust25–13-0.0632%17 Aug
anubis11–13-0.0416%17 Aug
dust216–13-0.0017%17 Aug
nuke13–11-0.0119%16 Aug
cache13–90.0815%16 Aug
train13–80.0715%16 Aug
dust23–13-0.0617%16 Aug
office13–40.065%15 Aug
ancient6–130.0325%15 Aug
nuke15–150.0319%15 Aug
inferno13–20.0345%15 Aug
ancient7–13-0.0115%15 Aug
nuke13–30.0717%15 Aug
ancient13–60.0232%15 Aug
mirage1–13-0.0816%14 Aug
dust213–110.0427%14 Aug
nuke10–13-0.0214%14 Aug
ancient13–160.0314%14 Aug
cache13–80.0013%14 Aug
dust28–130.0029%14 Aug
inferno13–6-0.0516%14 Aug
inferno11–130.0417%13 Aug
inferno16–13-0.047%13 Aug
inferno16–12-0.0417%13 Aug
inferno13–20.0436%13 Aug
dust213–80.0016%13 Aug
cache7–13-0.0420%12 Aug
nuke15–150.0421%12 Aug
cache4–13-0.0616%12 Aug
nuke13–40.0112%12 Aug
nuke11–130.0610%12 Aug
nuke13–100.0114%12 Aug
inferno7–130.0411%11 Aug
inferno13–60.0217%11 Aug
dust213–90.1221%10 Aug
cache12–12-0.0121%10 Aug
nuke10–13-0.0115%9 Aug
dust213–40.0820%9 Aug
anubis6–130.0518%8 Aug
ancient6–13-0.048%8 Aug
dust212–120.0614%8 Aug
nuke8–130.0517%8 Aug
ancient11–130.0417%7 Aug
ancient13–11-0.0121%7 Aug
vertigo4–13-0.0525%6 Aug
boulder9–130.0017%6 Aug
shelter7–13-0.0428%6 Aug
nuke13–9-0.0218%6 Aug
inferno13–100.0316%6 Aug
nuke7–13-0.0011%5 Aug
dust212–120.1524%5 Aug
italy13–30.2211%4 Aug
nuke14–16-0.079%4 Aug
anubis10–13-0.0710%4 Aug
dust27–13-0.0118%3 Aug
inferno13–8-0.0124%2 Aug
dust213–9-0.0421%2 Aug
inferno9–13-0.0417%2 Aug
inferno13–40.109%2 Aug
dust213–80.0122%2 Aug
inferno13–6-0.016%2 Aug
inferno13–90.0414%1 Aug
dust212–120.0224%1 Aug
nuke11–130.0210%1 Aug
dust214–16-0.0214%1 Aug
nuke5–130.0522%31 Jul
nuke13–110.0716%31 Jul
cache7–13-0.0317%31 Jul
dust24–130.0117%31 Jul
dust212–120.0220%30 Jul
inferno13–50.1013%30 Jul
dust213–110.0011%30 Jul
inferno16–140.0414%29 Jul
dust212–16-0.0012%29 Jul

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 →