elf1111

elf1111 — CS2 Stats

DE76561197961593740[U:1:1328012]Steam profile ↗✓ No bans

233Tracked matches46%Win rate2026Tracked since
404Hours in CS
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating12,872Blue band · top ~39.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (28 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: 12,872 -2,233 24 Jul – 20 Sept · 20 days played
10,75915,105peak 15,10524 Jul20 Sept
15,372Peak Premier in tracked matches
20Days played since 2026-07-24

Premier CS Rating

  • 2,233 below peak (15,105)
  • -206 over 30 days · steady
  • Next: Purple band at 15,000 — 2,128 to go
  • Reached: Purple band · 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
Matches3——
Win rate33%——
K/D0.57——
Headshot %39%——

Measured 19 Sep 2026 → 18 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 rate54.0%42.0%44.3%above
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.740.981.030.29 short
Match win rate47.0%43.8%45.2%above

This profile matches the typical Purple band player on 2 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.GGelf1111PREMIER12,872 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning47
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWLLWLWLLT

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · +9ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 644ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 666ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 661ms

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 (+1.4 against its own average).

Aim4.9
Utility4.1
Positioning4.7
Opening Duels1.0

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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 662ms 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

Aim4.9
Positioning4.7
Utility4.1
Mechanics7.2
Opening Duels1.2
Win Impact3.8

Composite 4.4/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time661ms−31ms
first ⅓ avg 692ms → last ⅓ avg 661ms
Headshot accuracy18.7%−2.2%
first ⅓ avg 20.9% → last ⅓ avg 18.7%

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

0.16Best match rating · 6–3 · vertigo, 5 Sept →
42%Best headshot accuracy · 7–13 · cache, 30 Jul →
406msFastest reaction time · 9–4 · nuke, 30 Aug →
13–3Biggest win · dust2, 26 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 70% over 20ancientWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
mirageS2014–670%-0.01
cacheB178–947%-0.02
dust2C145–936%-0.02
ancientD142–1214%-0.02
nukeB137–654%-0.02
infernoA106–460%-0.03
anubisD82–625%-0.04
vertigo—33–0100%0.03
office—10–10%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,889Lifetime kills
0.74K/D
247Matches
47.0%Match win rate · Top 25% of Blue band
54.0%Headshot % · Top 10% of Blue band
0.0%Shot accuracy
468MVPs
404Hours (in match)
330Bombs planted
77Bombs defused

Most-used weapons

Lifetime map wins

418dust2
277nuke
262inferno
60vertigo
27train
22office

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.

18.2%Headshot accuracy
30.9%Accuracy (enemy spotted)
30.5%Spray accuracy
82.5%Counter-strafing
11.3°Preaim
662msReaction time
34.4%T opening success
34.9%CT opening success
0.51Enemies flashed / flash
6.0%Flash assists
4.28HE damage / grenade
4.58Flashes / 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 34.4323% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–8-0.108%20 Sept →
mirage13–110.0318%13 Sept →
cache6–130.0121%13 Sept →
inferno1–13-0.0824%13 Sept →
mirage13–40.0522%13 Sept →
dust24–13-0.0526%12 Sept →
mirage16–140.0317%12 Sept →
nuke6–13-0.0512%12 Sept →
dust26–130.0212%11 Sept →
cache15–150.0416%11 Sept →
mirage13–70.0216%10 Sept →
dust28–13-0.0220%10 Sept →
anubis10–13-0.0516%10 Sept →
cache13–10-0.0631%10 Sept →
inferno5–13-0.0221%10 Sept →
ancient10–13-0.059%7 Sept →
cache13–6-0.0523%7 Sept →
mirage13–16-0.0917%7 Sept →
office12–120.0824%7 Sept →
nuke13–110.0213%7 Sept →
ancient4–13-0.0226%6 Sept →
anubis7–130.0214%5 Sept →
cache13–70.1215%5 Sept →
vertigo6–2-0.0425%5 Sept →
vertigo6–30.1616%5 Sept →
ancient11–13-0.0717%5 Sept →
ancient13–50.0220%30 Aug →
ancient3–13-0.0729%30 Aug →
cache13–8-0.0410%30 Aug →
anubis8–130.0520%30 Aug →
anubis13–7-0.0829%30 Aug →
cache13–9-0.0513%30 Aug →
nuke9–4-0.0317%30 Aug →
nuke9–13-0.0527%17 Aug →
cache13–40.0341%17 Aug →
mirage13–9-0.0717%17 Aug →
mirage16–120.0220%17 Aug →
mirage13–8-0.0024%17 Aug →
ancient9–13-0.0623%17 Aug →
inferno13–10-0.0330%17 Aug →
nuke13–80.0228%16 Aug →
dust213–11-0.0020%16 Aug →
inferno8–13-0.0327%16 Aug →
ancient13–90.0637%16 Aug →
nuke13–80.0222%16 Aug →
ancient9–13-0.0116%16 Aug →
mirage14–16-0.0120%2 Aug →
inferno13–8-0.0518%2 Aug →
mirage13–11-0.0126%2 Aug →
vertigo13–10-0.0328%31 Jul →
inferno13–10-0.0220%31 Jul →
dust213–16-0.0024%31 Jul →
ancient15–15-0.0431%31 Jul →
ancient9–13-0.0523%30 Jul →
dust213–8-0.0224%30 Jul →
cache7–13-0.0642%30 Jul →
dust25–13-0.0421%30 Jul →
cache10–13-0.0618%30 Jul →
nuke11–13-0.0616%30 Jul →
cache4–13-0.0619%30 Jul →
ancient10–130.0231%30 Jul →
mirage13–5-0.0527%30 Jul →
ancient1–13-0.0317%29 Jul →
mirage13–10-0.0318%29 Jul →
cache10–13-0.0415%29 Jul →
nuke6–13-0.0728%29 Jul →
mirage13–8-0.0712%29 Jul →
anubis13–9-0.0820%29 Jul →
anubis11–13-0.0223%29 Jul →
anubis10–13-0.0619%29 Jul →
inferno13–10-0.0427%29 Jul →
cache15–15-0.0324%29 Jul →
nuke13–100.0732%29 Jul →
inferno13–80.0615%28 Jul →
anubis10–13-0.079%27 Jul →
dust211–13-0.0823%27 Jul →
inferno9–13-0.0622%27 Jul →
nuke13–5-0.0114%27 Jul →
dust26–130.0121%27 Jul →
nuke5–13-0.0621%27 Jul →
mirage4–13-0.0319%26 Jul →
nuke13–10-0.0220%26 Jul →
dust213–40.0221%26 Jul →
cache11–13-0.0616%26 Jul →
mirage4–13-0.0121%26 Jul →
cache13–70.0116%26 Jul →
mirage3–13-0.0130%26 Jul →
mirage13–10-0.0328%26 Jul →
nuke8–13-0.0917%26 Jul →
dust213–3-0.0333%26 Jul →
ancient7–13-0.0226%26 Jul →
dust27–13-0.0120%25 Jul →
cache11–13-0.0033%25 Jul →
dust28–13-0.0710%25 Jul →
mirage8–13-0.0319%25 Jul →
mirage13–90.0111%25 Jul →
ancient9–13-0.0124%25 Jul →
dust216–14-0.0321%24 Jul →
inferno13–10-0.0219%24 Jul →
mirage13–100.0421%24 Jul →

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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