Stegi19

Stegi19 — CS2 Stats

DE76561199473662269[U:1:1513396541]Steam profile ↗✓ No bans

2,210Tracked matches32%Win rate2023Tracked since
2,102Hours in CS1Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 2,210
0.0ppWin rate · 32.1% → 32.1%

Rating over time

Premier CS Rating: 8,272 -4,230 30 Jul – 20 Sept · 18 days played
8,27214,327peak 14,32730 Jul20 Sept
14,701Peak Premier in tracked matches
24Days played since 2026-07-30

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate54.5%41.8%42.7%above
Shot accuracy6.5%12.2%11.2%4.8% short
Kill/death ratio0.820.980.990.17 short
Match win rate42.9%43.3%43.9%1.0% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStegi19FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning41
Utility10

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLLLWTLLLLL

Last 10 vs previous 10: −50pp win rate · +0.02 avg rating · +2.0pp headshot accuracy · +3ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 708ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 25%
  • Avg reaction 759ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 24%
  • Avg reaction 758ms

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 (+2.4 against its own average).

Aim5.3
Utility1.0
Positioning4.1
Opening Duels1.8
Clutch0.0

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

donk

Plays most like donk 90% 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 727ms 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

Aim5.3
Positioning4.1
Utility1.0
Mechanics6.1
Opening Duels1.5
Win Impact0.0

Composite 3.6/10 (Learning), 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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time716ms−42ms
first ⅓ avg 759ms → last ⅓ avg 716ms
Headshot accuracy24.8%+3.1%
first ⅓ avg 21.7% → last ⅓ avg 24.8%

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

0.10Best match rating · 12–12 · cache, 31 Aug →
42%Best headshot accuracy · 6–13 · dust2, 4 Aug →
523msFastest reaction time · 6–13 · mirage, 13 Aug →
13–2Biggest win · overpass, 4 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
3–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 70% over 10vertigoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D226–1627%-0.05
mirageB168–850%-0.03
anubisA148–657%-0.03
cacheD144–1029%-0.03
nukeD123–925%-0.04
infernoS107–370%-0.07
vertigoD50–50%-0.04
ancientD51–420%-0.03
overpass—22–0100%-0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,332Lifetime kills
0.82K/D
2,847Matches
42.9%Match win rate
54.5%Headshot % · Top 10% of Level 3 players
6.5%Shot accuracy
5,282MVPs
1,127Hours (in match)
2,523Bombs planted
605Bombs defused

Most-used weapons

AK-4713,223
AWP3,189
P902,228
MP72,224
FAMAS1,687
AUG845

Lifetime map wins

5,069dust2
3,518inferno
3,424nuke
677vertigo
337train
272office
81italy
15lake

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

Faceit stats

Combat

62Matches
42%Win rate
0.72Avg K/D
64.5ADR
59%Headshot %

Clutches & streaks

8%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1631%0.7111.5
Ancient1362%0.8012.2
Dust21030%0.6711.2
Inferno650%0.6010.3
Anubis540%0.6613.0
Cache450%0.8511.5
Nuke425%0.6513.5
Train333%0.8514.7

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.

25.3%Headshot accuracy
28.6%Accuracy (enemy spotted)
34.0%Spray accuracy
77.5%Counter-strafing
9.8°Preaim
727msReaction time
37.2%T opening success
35.0%CT opening success
0.10Enemies flashed / flash
1.1%Flash assists
6.36HE damage / grenade
1.07Flashes / 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 727.4653ms — 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 0.0976 — 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 37.2428% — below the 40% mark we flag

Spend your practice time on Vertigo

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.056%30 Oct →
nuke9–13-0.0324%25 Sept →
dust211–13-0.0919%10 Sept →
anubis13–11-0.0030%10 Sept →
vertigo12–12-0.0533%5 Sept →
vertigo5–13-0.0430%5 Sept →
vertigo3–13-0.0824%5 Sept →
vertigo3–13-0.0337%5 Sept →
vertigo2–13-0.0218%5 Sept →
cache8–13-0.0726%5 Sept →
overpass13–2-0.0934%4 Sept →
overpass13–9-0.0610%4 Sept →
mirage13–7-0.0930%4 Sept →
mirage13–6-0.0624%4 Sept →
mirage4–13-0.137%4 Sept →
nuke13–10-0.0215%4 Sept →
nuke5–13-0.0335%4 Sept →
nuke1–13-0.088%4 Sept →
nuke13–5-0.0630%4 Sept →
nuke7–13-0.0633%4 Sept →
cache12–120.1018%31 Aug →
nuke12–16-0.0231%28 Aug →
ancient5–13-0.0625%22 Aug →
mirage10–130.0138%16 Aug →
nuke8–13-0.0525%15 Aug →
nuke13–9-0.0232%15 Aug →
dust211–13-0.0337%15 Aug →
cache8–13-0.0115%15 Aug →
inferno16–12-0.0630%15 Aug →
anubis8–13-0.1127%15 Aug →
dust211–13-0.0215%13 Aug →
mirage6–13-0.0422%13 Aug →
inferno2–13-0.1129%13 Aug →
dust26–13-0.0538%12 Aug →
ancient10–13-0.0624%12 Aug →
inferno13–4-0.1322%11 Aug →
anubis13–8-0.0721%11 Aug →
inferno4–13-0.0824%11 Aug →
dust23–13-0.0716%11 Aug →
dust213–16-0.0530%11 Aug →
nuke7–13-0.0638%11 Aug →
ancient9–130.0428%11 Aug →
nuke15–150.0542%10 Aug →
anubis13–16-0.0123%9 Aug →
cache6–13-0.0530%9 Aug →
mirage13–11-0.0231%9 Aug →
anubis16–13-0.0716%8 Aug →
inferno13–80.0133%8 Aug →
mirage2–13-0.040%8 Aug →
dust213–10-0.1124%7 Aug →
nuke7–13-0.0631%7 Aug →
dust24–13-0.0630%6 Aug →
cache11–130.0127%6 Aug →
dust24–13-0.0421%6 Aug →
mirage8–13-0.0414%6 Aug →
cache13–100.0130%6 Aug →
mirage10–13-0.0624%6 Aug →
mirage13–9-0.0119%6 Aug →
dust212–16-0.0826%6 Aug →
mirage11–13-0.0418%4 Aug →
dust213–9-0.0612%4 Aug →
anubis16–130.0133%4 Aug →
inferno13–8-0.0436%4 Aug →
dust26–13-0.0542%4 Aug →
mirage11–13-0.0321%4 Aug →
cache8–13-0.0326%3 Aug →
mirage13–9-0.0521%3 Aug →
mirage13–100.0531%3 Aug →
mirage13–6-0.0733%3 Aug →
cache13–9-0.0432%3 Aug →
dust24–13-0.0820%3 Aug →
ancient8–130.009%3 Aug →
cache8–13-0.0914%3 Aug →
anubis4–13-0.0718%2 Aug →
ancient13–6-0.0639%2 Aug →
anubis13–11-0.0131%2 Aug →
dust21–13-0.120%2 Aug →
anubis15–15-0.047%2 Aug →
dust213–40.0123%2 Aug →
cache13–4-0.0427%2 Aug →
dust213–20.0224%2 Aug →
mirage13–60.0831%2 Aug →
inferno1–13-0.1215%2 Aug →
cache6–13-0.1019%2 Aug →
dust25–13-0.0621%1 Aug →
anubis13–5-0.0317%1 Aug →
dust211–130.0014%1 Aug →
inferno16–13-0.0718%1 Aug →
cache9–13-0.0819%1 Aug →
cache13–9-0.0130%1 Aug →
anubis13–7-0.0325%1 Aug →
dust213–9-0.0114%1 Aug →
anubis13–40.0927%31 Jul →
dust213–7-0.0621%31 Jul →
anubis12–16-0.0621%30 Jul →
cache14–16-0.0224%30 Jul →
inferno13–60.0429%30 Jul →
anubis15–15-0.0521%30 Jul →
inferno13–4-0.1225%30 Jul →
dust29–13-0.0718%30 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 →

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