MightyElf

MightyElf — CS2 Stats

76561197961111944[U:1:846216]Steam profile ↗✓ No bans

2,166Tracked matches64%Win rate2023Tracked since
2,602Hours in CS9Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
Premier CS Rating7,784Light Blue band · top ~65.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+678Premier CS Rating · 7,106 → 7,784

Rating over time

Premier CS Rating: 7,784 +2,245 24 Jun – 4 Nov · 29 days played
4,7547,784peak 7,78424 Jun4 Nov
8,148Peak Premier in tracked matches
45Days played since 2026-06-24

Premier CS Rating

  • At peak — 7,784
  • +2,148 over 30 days · improving
  • +2,785 over 90 days
  • Next: Blue band at 10,000 — 2,216 to go
  • Reached: Light Blue band

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 rate39.6%41.8%42.7%3.2% short
Shot accuracy0.2%12.2%11.2%11.0% short
Kill/death ratio0.920.980.990.07 short
Match win rate49.0%43.3%43.9%above

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.GGMightyElfFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER7,784 · Light Blue 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

Aim38
Positioning47
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLWWWWWTLTW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −0.5pp headshot accuracy · −24ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 628ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 607ms

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 (+2.4 against its own average).

Aim3.8
Utility6.8
Positioning4.7
Opening Duels1.9
Clutch4.2

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 62% 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. 601ms 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

Aim3.8
Positioning4.7
Utility6.8
Mechanics4.7
Opening Duels2.2
Win Impact9.8

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time602ms−51ms
first ⅓ avg 653ms → last ⅓ avg 602ms
Headshot accuracy16.0%−0.3%
first ⅓ avg 16.2% → last ⅓ avg 16.0%

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

0.14Best match rating · 13–8 · dust2, 26 Aug →
30%Best headshot accuracy · 13–6 · ancient, 23 Sept →
391msFastest reaction time · 0–13 · dust2, 23 Sept →
13–0Biggest win · mirage, 4 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 67% over 9nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2818–1064%0.01
ancientA1610–663%0.02
infernoC156–940%-0.00
anubisB157–847%-0.01
nukeD113–827%-0.01
mirageS96–367%0.01
cache—41–325%-0.04
alpine—10–10%-0.05
office—11–0100%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,663Lifetime kills
0.92K/D
3,731Matches
49.0%Match win rate · Top 25% of Level 3 players
39.6%Headshot %
0.2%Shot accuracy
6,842MVPs
1,560Hours (in match)
6,103Bombs planted
1,207Bombs defused

Most-used weapons

AK-477,843
MAC-106,687
MP95,768
FAMAS2,691
P902,176
MP72,153

Lifetime map wins

5,984dust2
5,555inferno
5,170nuke
2,190vertigo
812train
205office
98italy
35dust

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

Faceit stats

Combat

278Matches
46%Win rate
1.03Avg K/D
81.9ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7643%0.9113.6
Dust24347%0.8613.5
Anubis4156%1.2915.4
Ancient3757%1.2617.0
Nuke3142%1.2016.1
Inferno2433%0.9214.6
Cache1741%0.7812.2
Overpass838%0.9515.1

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.

16.4%Headshot accuracy
29.9%Accuracy (enemy spotted)
31.0%Spray accuracy
71.0%Counter-strafing
12.6°Preaim
601msReaction time
35.7%T opening success
42.1%CT opening success
0.61Enemies flashed / flash
5.7%Flash assists
10.44HE damage / grenade
15.98Flashes / 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 12.6237° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0610%4 Nov →
nuke13–11-0.0411%4 Nov →
dust213–9-0.068%4 Nov →
mirage13–00.025%4 Nov →
ancient13–60.0523%30 Oct →
mirage13–80.0421%30 Oct →
dust215–150.0219%29 Oct →
inferno8–130.0322%23 Oct →
mirage15–15-0.0121%23 Oct →
inferno13–80.0215%23 Oct →
anubis13–80.1116%18 Oct →
inferno9–13-0.0315%17 Oct →
cache16–13-0.0116%15 Oct →
anubis1–13-0.050%14 Oct →
cache11–13-0.1026%14 Oct →
dust213–3-0.0415%14 Oct →
nuke9–130.0420%12 Oct →
inferno10–130.0218%11 Oct →
anubis13–9-0.0119%8 Oct →
anubis13–110.0816%8 Oct →
dust213–90.0415%8 Oct →
mirage13–110.0110%7 Oct →
inferno13–80.0119%4 Oct →
anubis13–10.0513%4 Oct →
inferno13–160.0117%29 Sept →
dust216–140.0815%29 Sept →
anubis11–13-0.0216%23 Sept →
ancient13–60.0530%23 Sept →
dust20–13-0.050%23 Sept →
inferno13–30.0328%23 Sept →
nuke10–13-0.0417%22 Sept →
anubis13–100.0214%16 Sept →
ancient13–10-0.0217%14 Sept →
nuke15–150.0413%13 Sept →
cache0–13-0.090%13 Sept →
ancient13–50.0720%9 Sept →
mirage13–20.1113%9 Sept →
ancient11–13-0.039%7 Sept →
nuke10–13-0.0215%4 Sept →
ancient13–6-0.042%4 Sept →
inferno13–7-0.0119%4 Sept →
ancient12–16-0.0913%4 Sept →
dust216–130.0615%3 Sept →
ancient7–130.0613%2 Sept →
mirage13–11-0.0613%2 Sept →
ancient6–13-0.023%2 Sept →
dust27–130.0214%2 Sept →
anubis16–120.0020%1 Sept →
inferno9–13-0.0711%26 Aug →
dust213–80.1416%26 Aug →
dust29–13-0.0417%25 Aug →
dust213–20.0715%25 Aug →
mirage7–13-0.0110%19 Aug →
dust23–13-0.0013%19 Aug →
dust23–13-0.0510%19 Aug →
dust24–13-0.0313%17 Aug →
inferno11–30.0410%17 Aug →
ancient13–80.0016%17 Aug →
anubis2–130.0111%17 Aug →
dust213–80.0311%16 Aug →
ancient13–5-0.015%16 Aug →
nuke11–130.0216%15 Aug →
dust213–80.0421%15 Aug →
anubis13–70.0216%14 Aug →
dust213–70.0211%14 Aug →
ancient8–130.047%14 Aug →
dust213–40.0313%14 Aug →
nuke13–100.028%5 Aug →
dust213–5-0.0518%5 Aug →
mirage13–100.0115%2 Aug →
dust26–13-0.0617%2 Aug →
inferno14–16-0.037%2 Aug →
dust213–11-0.0121%31 Jul →
mirage5–13-0.0113%29 Jul →
nuke15–15-0.0518%29 Jul →
ancient13–70.0914%28 Jul →
nuke10–13-0.0119%28 Jul →
nuke13–90.0115%27 Jul →
dust213–60.1019%27 Jul →
dust213–5-0.0520%27 Jul →
inferno8–13-0.0220%27 Jul →
anubis8–13-0.1011%22 Jul →
anubis3–13-0.0920%22 Jul →
inferno8–130.0321%18 Jul →
ancient13–80.1115%15 Jul →
dust213–2-0.028%15 Jul →
anubis3–13-0.0427%15 Jul →
dust210–130.0320%15 Jul →
alpine11–13-0.0512%8 Jul →
cache12–120.0519%8 Jul →
office13–10-0.0612%8 Jul →
ancient13–50.0120%2 Jul →
anubis4–13-0.1010%2 Jul →
inferno13–6-0.0716%1 Jul →
dust213–50.0224%1 Jul →
anubis6–13-0.0413%1 Jul →
inferno8–8-0.0014%24 Jun →
ancient8–13-0.0112%24 Jun →
dust213–110.0225%24 Jun →
nuke9–13-0.0315%24 Jun →

Match data via Leetify.

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.