Christian Steifen

Christian Steifen — CS2 Stats

DE76561198056453600[U:1:96187872]Steam profile ↗VAC banned

1,858Tracked matches48%Win rate2023Tracked since
973Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating14,888Blue band · top ~29% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (5 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: 14,888 -1,697 2 Aug – 10 Nov · 30 days played
13,55216,585peak 16,5852 Aug10 Nov
16,608Peak Premier in tracked matches
860Highest Faceit ELO seen on CSDB
40Days played since 2026-08-02

Faceit ELO

  • At peak — 860
  • Next: Level 4 at 901 — 41 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-03
  • Level 2 first seen 2026-09-03

Premier CS Rating

  • 1,697 below peak (16,585)
  • +1,266 over 30 days · improving
  • -496 over 90 days
  • Next: Purple band at 15,000 — 112 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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 Blue band among CSDB-tracked players (n=23,968), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.2%42.0%44.4%7.2% short
Shot accuracy2.0%9.7%11.8%9.8% short
Kill/death ratio0.940.981.030.09 short
Match win rate46.9%43.8%45.3%above

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

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

Share this profile

CSDB.GGChristian SteifenPREMIER14,888 · Blue bandPEAK ELO860csdb.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

Aim63
Positioning46
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateWLTLLWWWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −0.2pp headshot accuracy · −34ms reaction

Win rate −10pp 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 -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 644ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 627ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

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 (+2.3 against its own average).

Aim6.3
Utility5.8
Positioning4.6
Opening Duels0.9
Clutch2.6

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

sh1ro

Plays most like sh1ro 81% 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

Reaction time. 651ms 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
Positioning4.6
Utility5.8
Mechanics6.8
Opening Duels2.2
Win Impact4.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time642ms−34ms
first ⅓ avg 676ms → last ⅓ avg 642ms
Headshot accuracy13.5%+1.2%
first ⅓ avg 12.3% → last ⅓ avg 13.5%

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

0.13Best match rating · 13–1 · dust2, 12 Oct →
52%Best headshot accuracy · 13–1 · dust2, 12 Oct →
477msFastest reaction time · 13–16 · inferno, 2 Sept →
13–1Biggest win · dust2, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%-0.01
mirageD217–1433%-0.01
infernoD122–1017%-0.03
ancientC94–544%-0.04
cacheS96–367%-0.02
nukeS97–278%0.00
anubisC52–340%0.01
vertigo—31–233%-0.03
office—22–0100%0.01
train—21–150%-0.04
fachwerk—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,706Lifetime kills
0.94K/D
2,422Matches
46.9%Match win rate · Top 25% of Blue band
37.2%Headshot %
2.0%Shot accuracy
4,956MVPs
973Hours (in match)
2,951Bombs planted
464Bombs defused

Most-used weapons

Lifetime map wins

7,972dust2
2,234inferno
1,900nuke
515vertigo
474train
86office
40italy
40cbble

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

Faceit stats

Combat

212Matches
50%Win rate
0.93Avg K/D
69.7ADR
30%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust27756%1.0114.8
Mirage6349%0.9213.3
Ancient2846%0.8812.3
Inferno1520%0.8812.9
Anubis1362%0.8414.1
Train1040%0.7511.7
Nuke560%1.1519.6
Cache10%0.8214.0

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.

13.2%Headshot accuracy
41.2%Accuracy (enemy spotted)
43.9%Spray accuracy
80.6%Counter-strafing
13.1°Preaim
651msReaction time
45.0%T opening success
32.4%CT opening success
0.53Enemies flashed / flash
8.7%Flash assists
11.79HE damage / grenade
8.08Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1183° — above the 12° mark we flag

    Aim Training →
  2. 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 13.249% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–20.083%13 Nov →
vertigo1–13-0.0418%13 Nov →
inferno15–15-0.055%10 Nov →
anubis9–130.077%10 Nov →
ancient14–16-0.0714%4 Nov →
dust213–60.0521%4 Nov →
dust213–90.0318%4 Nov →
cache13–30.0321%4 Nov →
inferno10–13-0.066%4 Nov →
ancient13–16-0.0419%3 Nov →
mirage9–130.058%3 Nov →
inferno13–16-0.039%1 Nov →
nuke13–110.0321%1 Nov →
dust211–13-0.019%1 Nov →
cache13–8-0.0219%31 Oct →
inferno13–60.0014%31 Oct →
mirage13–100.0116%30 Oct →
dust213–40.0210%30 Oct →
inferno5–13-0.0219%25 Oct →
cache6–13-0.068%22 Oct →
dust213–50.0210%21 Oct →
nuke13–10-0.0817%20 Oct →
dust28–13-0.0226%20 Oct →
cache13–10-0.0416%20 Oct →
dust212–120.0013%20 Oct →
mirage1–13-0.0110%19 Oct →
train13–11-0.0410%15 Oct →
dust212–12-0.009%15 Oct →
dust28–13-0.0617%14 Oct →
cache5–13-0.0311%14 Oct →
inferno13–8-0.038%14 Oct →
nuke13–40.1226%13 Oct →
nuke13–9-0.0111%13 Oct →
ancient13–5-0.0420%13 Oct →
ancient9–13-0.006%13 Oct →
nuke13–10-0.0211%13 Oct →
mirage8–13-0.0412%13 Oct →
dust213–11-0.0611%13 Oct →
cache13–6-0.0015%13 Oct →
dust213–110.0412%12 Oct →
inferno11–13-0.0212%12 Oct →
cache13–11-0.0515%12 Oct →
anubis13–50.0517%12 Oct →
ancient11–13-0.1010%12 Oct →
dust213–10.1352%12 Oct →
mirage10–130.056%11 Oct →
cache7–13-0.0511%11 Oct →
mirage13–10-0.0316%10 Oct →
mirage12–12-0.076%10 Oct →
mirage13–80.0113%9 Oct →
office13–9-0.077%6 Oct →
dust24–13-0.068%6 Oct →
nuke11–130.0219%24 Sept →
dust213–60.0615%24 Sept →
nuke13–10.0313%24 Sept →
vertigo4–13-0.077%24 Sept →
vertigo13–70.017%23 Sept →
dust21–13-0.0711%22 Sept →
mirage13–10-0.0212%3 Sept →
dust29–130.0116%3 Sept →
dust28–130.0013%2 Sept →
dust213–50.0311%2 Sept →
ancient13–40.0013%2 Sept →
dust213–10-0.028%2 Sept →
inferno13–16-0.0215%2 Sept →
anubis16–140.0112%2 Sept →
nuke13–4-0.0311%2 Sept →
mirage13–110.0223%2 Sept →
mirage13–100.0821%2 Sept →
mirage10–13-0.0314%2 Sept →
dust21–13-0.0420%2 Sept →
mirage5–13-0.0211%1 Sept →
dust213–10-0.079%1 Sept →
nuke8–13-0.019%1 Sept →
mirage15–15-0.0312%31 Aug →
ancient13–10-0.037%30 Aug →
train12–12-0.038%25 Aug →
fachwerk9–13-0.0717%24 Aug →
inferno10–13-0.022%19 Aug →
inferno8–13-0.0315%17 Aug →
anubis2–13-0.063%17 Aug →
ancient15–15-0.039%17 Aug →
anubis10–13-0.0310%16 Aug →
dust26–130.0111%16 Aug →
cache16–130.0124%15 Aug →
dust210–13-0.0111%15 Aug →
mirage14–160.0420%13 Aug →
dust213–9-0.0420%13 Aug →
dust29–13-0.0218%12 Aug →
mirage15–15-0.0514%12 Aug →
ancient13–6-0.0614%12 Aug →
inferno7–13-0.0513%11 Aug →
dust213–9-0.0213%11 Aug →
inferno9–130.0110%5 Aug →
mirage11–13-0.0310%5 Aug →
mirage9–13-0.044%5 Aug →
dust29–13-0.048%4 Aug →
mirage16–14-0.0210%4 Aug →
mirage0–13-0.098%4 Aug →
mirage11–130.0113%2 Aug →

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 →

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