Unc Engelke

Unc Engelke — CS2 Stats

TD76561198059680329[U:1:99414601]Steam profile ↗✓ No bans

771Tracked matches55%Win rate2020Tracked since
1,406Hours in CS3Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating11,721Blue band · top ~45.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 11,721 +1,626 15 May – 1 Oct · 40 days played
9,30714,059peak 14,05915 May1 Oct
14,059Peak Premier in tracked matches
46Days played since 2026-05-15

Premier CS Rating

  • 2,338 below peak (14,059)
  • -1,454 over 30 days · declining
  • +2,157 over 90 days
  • Next: Purple band at 15,000 — 3,279 to go
  • Reached: Blue band · Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches25——
Win rate44%——
K/D0.80——
Headshot %47%——

Measured 30 Aug 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate37.4%41.9%44.3%6.9% short
Shot accuracy12.1%9.6%11.9%above
Kill/death ratio0.890.981.030.15 short
Match win rate38.0%43.8%45.2%7.2% short

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

Widest gap: Match win rate. 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.GGUnc EngelkePREMIER11,721 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning57
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLLLLLWWLWW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −3.4pp headshot accuracy · +21ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 622ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 626ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 615ms

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 (+0.9 against its own average).

Aim5.4
Utility5.4
Positioning5.7
Opening Duels3.2

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

jL

Plays most like jL 79% 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. 618ms 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

Aim5.4
Positioning5.7
Utility5.4
Mechanics4.8
Opening Duels3.2
Win Impact6.7

Composite 5.0/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time618ms−67ms
first ⅓ avg 685ms → last ⅓ avg 618ms
Headshot accuracy15.4%−1.7%
first ⅓ avg 17.1% → last ⅓ avg 15.4%

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

0.12Best match rating · 13–7 · nuke, 15 Aug →
34%Best headshot accuracy · 13–5 · nuke, 30 Aug →
469msFastest reaction time · 13–1 · ancient, 5 Aug →
13–1Biggest win · anubis, 17 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 75% over 20dust2Weakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC228–1436%-0.01
anubisB2111–1052%-0.00
infernoS2015–575%0.01
cacheB136–746%-0.01
ancientC125–742%-0.01
dust2D70–70%-0.03
mirage—20–20%0.02
overpass—22–0100%0.00
alpine—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,601Lifetime kills
0.89K/D
2,667Matches
38.0%Match win rate
37.4%Headshot %
12.1%Shot accuracy · Top 50% of Blue band
3,866MVPs
930Hours (in match)
2,340Bombs planted
423Bombs defused

Most-used weapons

AK-4710,464
AWP1,773
MP91,278
MAC-101,248
FAMAS1,137
MP71,008

Lifetime map wins

5,947inferno
2,592dust2
2,131nuke
375vertigo
340office
336train
171aztec
156cbble

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

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
37.2%Accuracy (enemy spotted)
40.6%Spray accuracy
71.6%Counter-strafing
13.2°Preaim
618msReaction time
43.6%T opening success
42.0%CT opening success
0.54Enemies flashed / flash
6.2%Flash assists
14.12HE damage / grenade
4.69Flashes / 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 13.2171° — above the 12° mark we flag

    Aim Training →
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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–16-0.0114%1 Oct →
inferno9–13-0.0514%29 Sept →
dust210–130.008%29 Sept →
dust26–13-0.0510%29 Sept →
dust22–13-0.0014%29 Sept →
nuke13–100.0217%17 Sept →
anubis13–10.0418%17 Sept →
nuke9–13-0.0818%16 Sept →
anubis13–8-0.0516%9 Sept →
cache13–60.0317%9 Sept →
nuke6–13-0.0417%8 Sept →
nuke13–3-0.0421%8 Sept →
anubis13–100.0220%7 Sept →
anubis4–13-0.089%7 Sept →
cache11–13-0.0425%7 Sept →
inferno13–7-0.0514%2 Sept →
ancient13–4-0.0312%30 Aug →
nuke13–5-0.0434%30 Aug →
inferno13–30.0710%30 Aug →
inferno13–7-0.0118%26 Aug →
nuke10–130.0619%26 Aug →
inferno13–110.0825%21 Aug →
inferno11–130.0217%21 Aug →
nuke15–15-0.018%18 Aug →
anubis13–5-0.0212%18 Aug →
anubis13–60.0915%15 Aug →
nuke13–70.129%15 Aug →
anubis11–13-0.008%15 Aug →
anubis8–13-0.0516%13 Aug →
inferno13–10-0.0119%13 Aug →
anubis11–130.0115%12 Aug →
nuke4–13-0.0211%12 Aug →
ancient7–13-0.0412%10 Aug →
cache13–7-0.0517%10 Aug →
inferno4–9-0.0128%10 Aug →
cache13–10-0.007%5 Aug →
ancient13–10.0221%5 Aug →
nuke7–10.0320%5 Aug →
nuke4–13-0.0726%3 Aug →
anubis11–130.0812%3 Aug →
ancient8–13-0.049%1 Aug →
anubis15–15-0.047%1 Aug →
cache3–13-0.0416%29 Jul →
ancient3–13-0.037%29 Jul →
nuke15–150.0512%28 Jul →
cache13–10.1020%28 Jul →
dust27–13-0.0115%24 Jul →
anubis13–9-0.0119%24 Jul →
cache10–13-0.0415%23 Jul →
mirage8–13-0.0215%23 Jul →
mirage7–130.0725%21 Jul →
nuke2–13-0.0324%21 Jul →
anubis3–13-0.1013%21 Jul →
ancient9–130.0120%21 Jul →
nuke13–50.014%20 Jul →
inferno13–110.0523%20 Jul →
cache8–13-0.0320%20 Jul →
nuke16–130.038%18 Jul →
anubis13–60.0919%16 Jul →
inferno13–80.0617%16 Jul →
anubis13–3-0.068%16 Jul →
inferno13–50.0616%15 Jul →
cache4–13-0.083%15 Jul →
ancient13–110.0514%15 Jul →
anubis3–13-0.0812%12 Jul →
anubis6–13-0.0622%12 Jul →
cache13–60.0725%12 Jul →
inferno16–120.0214%10 Jul →
nuke4–130.0114%10 Jul →
cache16–120.0120%10 Jul →
alpine8–13-0.0713%8 Jul →
anubis13–90.0618%8 Jul →
cache5–13-0.0717%8 Jul →
inferno13–9-0.0319%8 Jul →
overpass13–9-0.0413%6 Jul →
inferno9–130.0418%5 Jul →
inferno13–6-0.0114%5 Jul →
dust211–13-0.0726%4 Jul →
ancient13–11-0.0217%30 Jun →
nuke13–60.0222%30 Jun →
inferno8–13-0.0515%26 Jun →
nuke4–13-0.0421%26 Jun →
anubis10–130.0118%22 Jun →
ancient11–13-0.0315%22 Jun →
inferno13–7-0.0128%16 Jun →
dust210–13-0.049%12 Jun →
nuke8–13-0.0714%12 Jun →
ancient3–13-0.0614%12 Jun →
inferno13–2-0.033%6 Jun →
ancient13–100.0114%6 Jun →
nuke4–13-0.0517%6 Jun →
anubis13–60.0419%5 Jun →
anubis13–40.0511%29 May →
inferno13–11-0.0525%28 May →
overpass13–40.0413%28 May →
nuke15–15-0.0120%28 May →
cache10–13-0.0125%23 May →
nuke11–13-0.0711%23 May →
inferno16–140.0225%22 May →
ancient7–130.0021%15 May →

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 →

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