rennSTEIGER

rennSTEIGER — CS2 Stats

DE76561198882308015[U:1:922042287]Steam profile ↗✓ No bans

1,472Tracked matches54%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,472
0.0ppWin rate · 53.8% → 53.8%

Rating over time

31Days played since 2026-02-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim62
Positioning46
Utility64

0–100 skill scores via Leetify.

Recent form

COLD44–43–13Last 10044%Win rateLWWLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · +16ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 536ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 528ms

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 (+3.3 against its own average).

Aim6.2
Utility6.4
Positioning4.6
Opening Duels1.4
Clutch0.0

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.2
Positioning4.6
Utility6.4
Mechanics4.3
Opening Duels1.4
Win Impact6.3

Composite 5.2/10 (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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time538ms−149ms
first ⅓ avg 687ms → last ⅓ avg 538ms
Headshot accuracy18.2%−3.1%
first ⅓ avg 21.3% → last ⅓ avg 18.2%

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

0.41Best match rating · 9–1 · inferno, 20 Aug →
45%Best headshot accuracy · 5–13 · cache, 8 Jun →
375msFastest reaction time · 3–9 · poseidon, 21 Aug →
13–1Biggest win · mirage, 21 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 47% over 30boulderWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3014–1647%0.04
cacheB2612–1446%-0.01
mirageC135–838%0.01
boulderD62–433%0.02
nuke—42–250%0.06
fachwerk—41–325%0.04
poseidon—42–250%-0.03
ancient—31–233%-0.04
anubis—21–150%-0.00
train—21–150%0.04
shelter—21–150%0.02
dust2—11–0100%0.05
overpass—10–10%-0.06
debris—10–10%-0.16
vertigo—11–0100%0.20

Across the last 100 tracked matches.

Faceit stats

Combat

18Matches
44%Win rate
0.77Avg K/D
84.4ADR
35%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3100%1.3216.7
Inferno1100%1.0522.0
Anubis1100%0.8612.0

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.

17.5%Headshot accuracy
32.8%Accuracy (enemy spotted)
33.1%Spray accuracy
69.2%Counter-strafing
8.7°Preaim
554msReaction time
25.2%T opening success
41.4%CT opening success
0.49Enemies flashed / flash
5.6%Flash assists
15.85HE damage / grenade
12.13Flashes / 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. 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 0.4877 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 25.2142% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–9-0.057%27 Oct →
inferno13–8-0.0021%3 Sept →
inferno13–9-0.0110%2 Sept →
mirage7–13-0.0716%2 Sept →
ancient11–13-0.0114%2 Sept →
anubis5–130.0221%2 Sept →
boulder11–130.0520%2 Sept →
cache13–90.1015%2 Sept →
inferno4–130.0823%2 Sept →
nuke6–90.1036%1 Sept →
inferno8–80.058%1 Sept →
inferno9–50.1316%1 Sept →
fachwerk13–70.1618%30 Aug →
inferno13–90.0515%30 Aug →
mirage10–1-0.0020%30 Aug →
mirage12–12-0.0426%30 Aug →
boulder5–130.0330%30 Aug →
ancient12–12-0.0531%28 Aug →
cache13–5-0.0125%28 Aug →
anubis13–11-0.0223%26 Aug →
inferno9–130.0313%26 Aug →
inferno15–15-0.0323%25 Aug →
mirage14–16-0.0319%25 Aug →
ancient16–14-0.0511%25 Aug →
cache8–13-0.084%25 Aug →
inferno7–130.0010%22 Aug →
mirage7–00.0722%22 Aug →
dust213–110.0510%22 Aug →
inferno6–90.0822%22 Aug →
inferno9–60.0726%22 Aug →
mirage13–7-0.0310%21 Aug →
cache13–8-0.049%21 Aug →
inferno3–5-0.0325%21 Aug →
mirage9–13-0.0115%21 Aug →
mirage13–10.1419%21 Aug →
boulder12–12-0.0118%21 Aug →
fachwerk6–130.0419%21 Aug →
cache8–13-0.0224%21 Aug →
poseidon9–30.1029%21 Aug →
inferno9–30.0518%21 Aug →
poseidon3–9-0.0919%21 Aug →
nuke9–50.1415%21 Aug →
nuke8–8-0.077%20 Aug →
inferno2–9-0.0832%20 Aug →
inferno9–10.4125%20 Aug →
overpass4–9-0.0625%20 Aug →
nuke9–70.0823%18 Aug →
inferno9–60.1734%18 Aug →
debris1–9-0.1640%18 Aug →
fachwerk9–13-0.0118%15 Aug →
train13–100.1012%15 Aug →
cache11–130.0114%15 Aug →
inferno9–30.1516%31 Jul →
inferno8–8-0.0916%31 Jul →
shelter13–9-0.026%27 Jul →
inferno13–80.0119%27 Jul →
boulder13–70.0522%27 Jul →
inferno7–9-0.0524%27 Jul →
inferno9–50.0816%27 Jul →
poseidon9–60.0729%27 Jul →
inferno5–9-0.0424%27 Jul →
inferno9–60.049%21 Jul →
boulder3–13-0.049%13 Jul →
fachwerk12–12-0.0326%13 Jul →
boulder13–100.0412%13 Jul →
shelter12–120.0520%13 Jul →
vertigo9–30.2039%2 Jul →
cache10–130.0511%8 Jun →
inferno12–120.0019%8 Jun →
cache5–13-0.0145%8 Jun →
inferno7–130.0031%4 Jun →
inferno13–50.1115%4 Jun →
cache7–13-0.0216%4 Jun →
cache6–13-0.038%1 Jun →
cache8–13-0.078%1 Jun →
cache10–13-0.0015%1 Jun →
cache13–60.0516%1 Jun →
cache13–110.0215%26 May →
cache10–13-0.0529%26 May →
cache13–50.0219%26 May →
inferno12–12-0.049%26 May →
cache13–10-0.0318%21 May →
cache4–13-0.0245%21 May →
cache12–12-0.0423%21 May →
cache13–7-0.0123%21 May →
cache5–13-0.0523%19 May →
cache13–70.0918%19 May →
cache13–5-0.0417%19 May →
cache13–8-0.0125%19 May →
cache6–2-0.0120%19 May →
cache7–13-0.0024%29 Apr →
inferno9–7-0.0212%16 Apr →
mirage2–13-0.0132%9 Apr →
inferno8–130.0828%9 Apr →
train10–13-0.0125%9 Apr →
mirage12–120.0129%23 Feb →
poseidon3–9-0.2020%23 Feb →
mirage2–13-0.0423%19 Feb →
mirage13–160.0219%18 Feb →
mirage13–110.0622%12 Feb →

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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