Undeserving Of Life

Undeserving Of Life — CS2 Stats

CI76561198131362066[U:1:171096338]Steam profile ↗✓ No bans

258Tracked matches55%Win rate2020Tracked since
1,538Hours in CS
CSDB Rating5.2 DevelopingSupport
Premier CS Rating17,061Purple band · top ~20.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 258 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,061 +3,041 16 Jun – 4 Nov · 29 days played
13,77417,207peak 17,20716 Jun4 Nov
17,207Peak Premier in tracked matches
44Days played since 2025-06-16

Premier CS Rating

  • 146 below peak (17,207)
  • Next: Pink band at 20,000 — 2,939 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate47.0%41.3%41.8%above
Shot accuracy15.1%12.7%12.2%above
Kill/death ratio0.850.950.980.13 short
Match win rate39.4%42.6%43.3%3.9% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUndeserving Of LifeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER17,061 · Purple bandcsdb.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

Aim53
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWTWLWWLLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.4pp headshot accuracy · +55ms reaction

Win rate down 20pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 572ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 545ms

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 (+1.3 against its own average).

Aim5.3
Utility5.7
Positioning5.4
Opening Duels2.0

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

Twistzz

Plays most like Twistzz 74% 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. 556ms 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
Positioning5.4
Utility5.7
Mechanics5.4
Opening Duels1.7
Win Impact6.7

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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time563ms−28ms
first ⅓ avg 591ms → last ⅓ avg 563ms
Headshot accuracy22.4%−2.6%
first ⅓ avg 25.0% → last ⅓ avg 22.4%

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

0.10Best match rating · 13–5 · inferno, 18 Sept →
60%Best headshot accuracy · 2–6 · nuke, 12 Aug →
383msFastest reaction time · 13–7 · inferno, 12 Aug →
13–0Biggest win · mirage, 24 Jun →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB2612–1446%-0.01
dust2C2511–1444%0.00
infernoC208–1240%-0.00
nukeA127–558%-0.01
ancientA53–260%-0.02
overpass—42–250%-0.01
office—31–233%-0.05
cache—21–150%0.03
vertigo—10–10%-0.01
grail—10–10%-0.02
train—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,475Lifetime kills
0.85K/D
3,880Matches
39.4%Match win rate
47.0%Headshot % · Top 25% of Level 2 players
15.1%Shot accuracy · Top 50% of Level 2 players
7,327MVPs
1,538Hours (in match)
4,455Bombs planted
907Bombs defused

Most-used weapons

AK-4716,431
AWP7,985
SSG 085,849
P2501,230
Knife1,211
SG 5531,160

Lifetime map wins

15,936dust2
1,855inferno
831nuke
541train
346vertigo
281cbble
278office
206lake

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.

21.7%Headshot accuracy
26.6%Accuracy (enemy spotted)
33.2%Spray accuracy
74.3%Counter-strafing
11.3°Preaim
556msReaction time
30.9%T opening success
42.5%CT opening success
0.55Enemies flashed / flash
10.5%Flash assists
9.54HE damage / grenade
11.58Flashes / 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 30.9383% — below the 40% mark we flag

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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–2-0.0024%27 Sept →
dust212–120.0131%27 Sept →
inferno13–7-0.0216%27 Sept →
mirage7–13-0.0314%23 Sept →
ancient13–70.0123%23 Sept →
nuke13–110.0126%2 Sept →
mirage4–13-0.0526%2 Sept →
nuke11–13-0.0116%29 Aug →
inferno9–130.0012%23 Aug →
nuke13–6-0.0211%23 Aug →
nuke13–30.0037%23 Aug →
cache9–13-0.0217%20 Aug →
inferno10–13-0.009%20 Aug →
mirage13–11-0.0222%20 Aug →
dust213–70.0815%20 Aug →
mirage6–130.0013%13 Aug →
dust213–80.0116%13 Aug →
nuke13–7-0.0145%12 Aug →
mirage13–60.0116%12 Aug →
cache13–90.0922%12 Aug →
dust28–130.0118%12 Aug →
nuke13–40.0123%12 Aug →
inferno13–70.0119%12 Aug →
nuke2–6-0.0260%12 Aug →
mirage4–13-0.0015%23 Mar →
dust213–90.0225%23 Mar →
dust23–13-0.0819%16 Mar →
mirage7–130.0031%16 Mar →
nuke13–70.0021%29 Nov →
inferno11–13-0.0231%27 Nov →
mirage13–6-0.0623%27 Nov →
office13–7-0.0528%27 Nov →
inferno8–13-0.0415%22 Nov →
mirage13–40.0328%22 Nov →
dust28–13-0.0512%22 Nov →
overpass2–13-0.0617%21 Nov →
overpass13–5-0.0421%21 Nov →
mirage10–130.0323%21 Nov →
nuke5–13-0.0829%21 Nov →
dust28–13-0.0350%20 Nov →
mirage13–80.0017%19 Nov →
dust215–15-0.0115%19 Nov →
dust24–13-0.0022%18 Nov →
mirage16–140.0020%18 Nov →
dust211–130.0325%12 Nov →
inferno13–50.0222%10 Nov →
dust213–100.0129%10 Nov →
inferno13–70.0338%10 Nov →
mirage10–13-0.0614%3 Nov →
mirage5–13-0.0426%3 Nov →
dust26–13-0.0520%29 Oct →
mirage3–13-0.0820%29 Oct →
vertigo6–13-0.0112%20 Oct →
inferno10–130.0019%13 Oct →
nuke8–130.0426%13 Oct →
office9–13-0.014%7 Oct →
inferno5–9-0.1020%7 Oct →
inferno12–12-0.0535%7 Oct →
dust213–110.0214%6 Oct →
inferno13–50.1014%18 Sept →
inferno13–9-0.0127%17 Sept →
office6–13-0.1017%17 Sept →
ancient13–60.0020%15 Sept →
dust213–80.0119%15 Sept →
mirage1–7-0.0230%4 Sept →
mirage13–10-0.0337%4 Sept →
mirage13–11-0.0125%27 Aug →
nuke3–13-0.0815%27 Aug →
mirage6–13-0.0726%28 Jul →
mirage13–8-0.0327%28 Jul →
inferno14–160.0425%14 Jul →
dust24–13-0.0533%14 Jul →
dust213–90.0115%13 Jul →
inferno15–15-0.0524%13 Jul →
dust213–20.0517%13 Jul →
inferno12–16-0.0116%9 Jul →
dust24–13-0.0325%9 Jul →
ancient6–13-0.0932%7 Jul →
inferno11–13-0.0628%7 Jul →
dust210–130.0116%29 Jun →
dust213–11-0.0224%29 Jun →
inferno13–10-0.0231%29 Jun →
ancient13–10-0.0120%28 Jun →
ancient6–13-0.0418%28 Jun →
mirage4–13-0.0424%28 Jun →
dust27–13-0.0220%28 Jun →
dust213–50.0524%25 Jun →
mirage16–120.0224%25 Jun →
inferno13–110.0728%25 Jun →
mirage7–13-0.0019%24 Jun →
mirage13–00.0828%24 Jun →
overpass8–130.0224%23 Jun →
mirage13–20.0555%23 Jun →
grail3–13-0.0210%22 Jun →
overpass13–70.0219%22 Jun →
dust22–13-0.0623%22 Jun →
mirage7–13-0.0223%20 Jun →
inferno14–160.0336%20 Jun →
dust213–70.0929%18 Jun →
train13–30.0648%16 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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