Gorm

Gorm — CS2 Stats

DK76561197977872468[U:1:17606740]Steam profile ↗✓ No bans

2,093Tracked matches53%Win rate2020Tracked since
3,185Hours in CS
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating6,619Light Blue band · top ~71.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 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: 6,619 -614 16 Aug – 26 Oct · 33 days played
4,5328,666peak 8,66616 Aug26 Oct
8,833Peak Premier in tracked matches
40Days played since 2026-08-14

Premier CS Rating

  • 2,047 below peak (8,666)
  • +293 over 30 days · steady
  • Next: Blue band at 10,000 — 3,381 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-02

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
Matches14985+64
Win rate44%47%−3pp
K/D0.880.92−0.04
Headshot %38%39%−1pp

Measured 22 Sep 2026 → 27 Oct 2026; previous 30 Aug 2026 → 22 Sep 2026.

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 Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate34.2%42.7%43.8%9.6% short
Shot accuracy15.4%11.2%12.0%above
Kill/death ratio0.830.991.020.19 short
Match win rate40.2%43.9%44.7%4.5% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGormFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER6,619 · 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

Aim33
Positioning60
Utility56

0–100 skill scores via Leetify.

Recent form

HOT49–49–2Last 10049%Win rateWWLWWWWLWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −0.2pp headshot accuracy · −111ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 619ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 621ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 677ms

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).

Aim3.3
Utility5.6
Positioning6.0
Opening Duels3.7
Clutch3.2

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

donk

Plays most like donk 57% 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning6.0
Utility5.6
Mechanics4.0
Opening Duels6.4
Win Impact6.1

Composite 4.4/10 (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 rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time665ms+34ms
first ⅓ avg 631ms → last ⅓ avg 665ms
Headshot accuracy11.4%−2.2%
first ⅓ avg 13.5% → last ⅓ avg 11.4%

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

0.15Best match rating · 13–6 · ancient, 23 Sept →
27%Best headshot accuracy · 1–13 · dust2, 26 Aug →
469msFastest reaction time · 13–11 · inferno, 19 Sept →
13–1Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 60% over 10cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB179–853%-0.01
infernoA169–756%-0.00
ancientA169–756%0.01
cacheC135–838%-0.01
dust2B136–746%0.00
mirageA106–460%0.00
anubisC104–640%0.01
office—30–30%-0.06
vertigo—10–10%0.00
overpass—11–0100%-0.08

Across the last 100 tracked matches.

Lifetime stats

129,486Lifetime kills
0.83K/D
9,116Matches
40.2%Match win rate
34.2%Headshot %
15.4%Shot accuracy · Top 25% of Level 4 players
13,577MVPs
3,185Hours (in match)
5,705Bombs planted
1,559Bombs defused

Most-used weapons

AK-4718,839
AWP11,529
SG 5537,509
AUG7,218
MAC-106,920
P904,429

Lifetime map wins

20,978dust2
12,243inferno
8,294nuke
3,921vertigo
3,280train
663cbble
506office
366lake

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

Faceit stats

Combat

804Matches
49%Win rate
0.95Avg K/D
75.7ADR
31%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4654%1.0214.7
Dust23250%0.9314.9
Anubis3050%0.7111.0
Nuke2864%0.9612.8
Inferno2850%0.9014.5
Vertigo2759%0.7311.9
Ancient2544%0.8613.2
Overpass838%0.7512.3

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.

10.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.9%Spray accuracy
68.1%Counter-strafing
13.0°Preaim
660msReaction time
64.9%T opening success
46.5%CT opening success
0.40Enemies flashed / flash
10.7%Flash assists
7.77HE damage / grenade
7.31Flashes / 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 13.0285° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.5986% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4022 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0117%26 Oct →
mirage13–7-0.005%26 Oct →
inferno2–130.0110%26 Oct →
ancient13–100.0116%26 Oct →
nuke13–100.0013%26 Oct →
ancient13–60.028%23 Oct →
nuke13–90.0513%23 Oct →
inferno5–13-0.0513%23 Oct →
mirage13–10.1214%23 Oct →
office7–13-0.132%22 Oct →
ancient13–10-0.0018%22 Oct →
nuke13–2-0.0014%22 Oct →
cache8–130.0211%22 Oct →
inferno13–70.099%22 Oct →
ancient13–70.0216%21 Oct →
ancient13–6-0.017%20 Oct →
ancient7–130.0112%20 Oct →
nuke6–13-0.0514%20 Oct →
office10–13-0.030%19 Oct →
cache9–13-0.0010%19 Oct →
ancient10–130.0212%19 Oct →
nuke13–60.0010%19 Oct →
mirage13–70.0411%16 Oct →
anubis6–13-0.068%15 Oct →
nuke8–13-0.032%15 Oct →
inferno3–13-0.080%14 Oct →
cache6–13-0.087%14 Oct →
dust213–110.0016%14 Oct →
mirage1–9-0.0110%13 Oct →
nuke13–110.0115%12 Oct →
dust22–13-0.0522%12 Oct →
inferno13–20.0123%12 Oct →
dust211–130.0016%12 Oct →
cache11–13-0.0117%11 Oct →
ancient13–10-0.0113%8 Oct →
inferno13–80.0919%5 Oct →
dust28–130.0518%5 Oct →
mirage6–130.1416%5 Oct →
ancient7–13-0.019%5 Oct →
office11–13-0.0115%3 Oct →
dust27–130.0118%30 Sept →
vertigo12–120.0013%30 Sept →
cache3–130.0111%24 Sept →
inferno4–13-0.035%24 Sept →
ancient13–60.1514%23 Sept →
mirage13–80.0219%22 Sept →
anubis10–130.1314%21 Sept →
inferno15–150.0123%21 Sept →
ancient13–7-0.0212%21 Sept →
dust213–3-0.0113%20 Sept →
inferno13–11-0.0311%19 Sept →
ancient13–40.085%19 Sept →
inferno13–80.0115%15 Sept →
mirage9–13-0.0616%14 Sept →
cache13–50.0411%14 Sept →
cache10–13-0.007%10 Sept →
nuke13–20.0915%10 Sept →
ancient9–13-0.017%10 Sept →
ancient6–13-0.053%10 Sept →
anubis10–13-0.0516%8 Sept →
inferno13–11-0.0324%8 Sept →
mirage5–13-0.1210%8 Sept →
ancient6–13-0.0417%8 Sept →
anubis9–2-0.075%8 Sept →
nuke7–13-0.080%8 Sept →
cache7–130.0317%7 Sept →
anubis13–70.077%7 Sept →
nuke13–30.149%7 Sept →
dust210–130.0410%7 Sept →
inferno13–90.0014%3 Sept →
dust213–100.0014%3 Sept →
anubis12–160.0313%2 Sept →
overpass13–5-0.0819%1 Sept →
inferno6–40.0720%1 Sept →
mirage13–11-0.0926%1 Sept →
nuke5–13-0.0814%1 Sept →
anubis8–13-0.0821%1 Sept →
cache13–6-0.0618%1 Sept →
anubis6–13-0.0320%31 Aug →
dust214–16-0.0219%31 Aug →
nuke13–50.077%31 Aug →
dust213–110.079%31 Aug →
nuke6–13-0.0818%30 Aug →
inferno4–130.0015%30 Aug →
mirage7–40.007%30 Aug →
dust21–13-0.0327%26 Aug →
nuke11–13-0.006%25 Aug →
dust213–7-0.0610%25 Aug →
inferno13–8-0.016%24 Aug →
ancient14–160.0214%24 Aug →
nuke10–13-0.103%19 Aug →
dust213–110.0214%18 Aug →
anubis13–110.0617%17 Aug →
cache13–11-0.049%17 Aug →
nuke13–6-0.0313%16 Aug →
cache13–80.0411%16 Aug →
anubis13–50.109%16 Aug →
cache7–13-0.0915%14 Aug →
nuke5–13-0.0915%14 Aug →
inferno3–10-0.126%14 Aug →

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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