örm

örm — CS2 Stats

DE76561197969944503[U:1:9678775]Steam profile ↗✓ No bans

1,989Tracked matches37%Win rate2020Tracked since
4,856Hours in CS24Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+46Tracked matches · now 1,989
−30.0ppWin rate · 66.7% → 36.7%

Rating over time

Faceit ELO: 2,212 +0 29 Aug – 30 Aug · 2 observations
2,2122,212peak 2,21229 Aug30 Aug
2,212Highest Faceit ELO seen on CSDB
40Days played since 2026-08-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate68.6%48.2%50.9%above
Shot accuracy18.0%13.2%13.7%above
Kill/death ratio0.811.071.090.28 short
Match win rate46.8%46.9%48.4%1.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGörmFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO2,212csdb.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

Aim84
Positioning64
Utility62

0–100 skill scores via Leetify.

Recent form

COLD53–47Last 10053%Win rateLLLLWWWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.3pp headshot accuracy · +60ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 605ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 567ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 537ms

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 (+1.5 against its own average).

Aim8.4
Utility6.2
Positioning6.4
Opening Duels2.6
Clutch4.4

Strong CT-side opener

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

iM

Plays most like iM 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4
Positioning6.4
Utility6.2
Mechanics7.3
Opening Duels4.3
Win Impact0.6

Composite 6.3/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time540ms+14ms
first ⅓ avg 526ms → last ⅓ avg 540ms
Headshot accuracy24.2%−3.0%
first ⅓ avg 27.3% → last ⅓ avg 24.2%

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

0.13Best match rating · 13–10 · cache, 12 Oct →
45%Best headshot accuracy · 13–5 · inferno, 25 Aug →
328msFastest reaction time · 13–6 · cache, 7 Sept →
13–2Biggest win · inferno, 30 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
11–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 83% over 6dust2Weakest map · 36% over 28
MapGradePlayedRecordWin rateAvg rating
infernoA3019–1163%0.02
dust2C2810–1836%-0.01
cacheA2514–1156%0.02
ancientA95–456%0.01
nukeS65–183%0.01
mirage—10–10%-0.04
anubis—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

238,161Lifetime kills
0.81K/D
4,738Matches
46.8%Match win rate
68.6%Headshot % · Top 5% of Level 9 players
18.0%Shot accuracy · Top 25% of Level 9 players
13,992MVPs
21,589Hours (in match)
6,682Bombs planted
1,798Bombs defused

Most-used weapons

AK-47113,388
AWP7,752
SSG 085,764
AUG5,445
P2504,551

Lifetime map wins

17,275dust2
15,360inferno
6,556nuke
1,399train
758cbble
750vertigo
113aztec
100dust

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

Faceit stats

Combat

1,873Matches
51%Win rate
1.17Avg K/D
76.2ADR
55%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4764%1.3015.8
Dust24540%1.0816.1
Cache2959%1.2715.8
Nuke1457%1.0715.0
Ancient1443%1.0014.4
Mirage1250%1.1014.3
Anubis1050%1.0514.9
Overpass633%0.9814.7

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.

23.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
40.7%Spray accuracy
82.8%Counter-strafing
9.4°Preaim
534msReaction time
46.3%T opening success
48.4%CT opening success
0.59Enemies flashed / flash
8.1%Flash assists
9.39HE damage / grenade
10.44Flashes / match

Recommended for you

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.

36% win rate across 28 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
dust213–160.0524%9 Nov →
cache10–13-0.0719%9 Nov →
cache8–13-0.0418%8 Nov →
dust26–130.0020%8 Nov →
inferno13–30.0026%8 Nov →
cache13–100.0327%8 Nov →
ancient13–70.0329%8 Nov →
inferno11–130.0426%8 Nov →
dust29–130.1217%8 Nov →
dust29–13-0.0618%7 Nov →
dust27–13-0.0123%7 Nov →
inferno13–110.0716%7 Nov →
inferno9–13-0.0018%4 Nov →
inferno9–13-0.0123%30 Oct →
nuke10–13-0.0525%30 Oct →
inferno13–20.0715%30 Oct →
cache3–13-0.0132%29 Oct →
inferno13–80.0327%29 Oct →
cache5–13-0.0930%26 Oct →
inferno13–90.0320%26 Oct →
ancient8–130.0320%26 Oct →
inferno5–13-0.0726%25 Oct →
cache13–40.0622%25 Oct →
dust28–13-0.0229%25 Oct →
dust24–13-0.0836%20 Oct →
ancient13–100.1322%20 Oct →
dust213–60.0525%14 Oct →
inferno13–8-0.1025%14 Oct →
ancient12–16-0.0126%12 Oct →
dust212–160.0024%12 Oct →
cache13–100.1329%12 Oct →
dust210–13-0.0544%11 Oct →
ancient13–80.0119%11 Oct →
nuke13–50.0623%10 Oct →
inferno7–13-0.0035%10 Oct →
ancient13–110.0026%5 Oct →
dust24–130.0124%5 Oct →
cache13–60.0932%4 Oct →
cache13–11-0.0227%4 Oct →
dust27–13-0.0330%28 Sept →
cache17–19-0.0230%28 Sept →
cache13–40.0829%27 Sept →
inferno13–60.0120%27 Sept →
inferno16–140.0826%24 Sept →
cache13–70.0830%24 Sept →
inferno13–60.0427%24 Sept →
nuke13–110.0118%23 Sept →
inferno13–90.0416%23 Sept →
cache8–13-0.0228%21 Sept →
cache13–80.0935%21 Sept →
cache13–100.0723%19 Sept →
inferno13–110.0438%19 Sept →
dust28–130.0233%19 Sept →
nuke13–5-0.0217%18 Sept →
inferno16–120.0044%18 Sept →
inferno10–130.0221%17 Sept →
cache13–30.0235%17 Sept →
inferno14–16-0.0526%17 Sept →
cache13–90.0323%16 Sept →
ancient13–11-0.0219%15 Sept →
cache8–13-0.0028%15 Sept →
inferno13–60.0626%15 Sept →
dust213–5-0.0317%15 Sept →
inferno6–13-0.0313%14 Sept →
dust213–70.0231%14 Sept →
dust211–130.0021%13 Sept →
cache8–13-0.0215%13 Sept →
dust213–110.0220%11 Sept →
dust213–90.0321%11 Sept →
dust27–13-0.0323%9 Sept →
inferno13–40.0333%9 Sept →
cache9–13-0.0320%9 Sept →
dust213–5-0.0420%7 Sept →
inferno13–90.0117%7 Sept →
cache13–6-0.0119%7 Sept →
cache13–110.0823%2 Sept →
inferno7–13-0.0333%2 Sept →
inferno13–160.0117%31 Aug →
dust210–13-0.0827%31 Aug →
dust213–90.0532%27 Aug →
dust213–10-0.0221%27 Aug →
mirage6–13-0.0443%27 Aug →
ancient10–13-0.0318%26 Aug →
dust211–13-0.0518%26 Aug →
cache9–13-0.0244%25 Aug →
inferno13–50.1045%25 Aug →
ancient8–13-0.0436%25 Aug →
cache9–13-0.0124%24 Aug →
inferno11–130.0428%24 Aug →
dust213–8-0.0618%24 Aug →
dust213–6-0.0135%12 Aug →
dust213–16-0.0428%11 Aug →
inferno13–60.1129%10 Aug →
cache13–9-0.0331%10 Aug →
anubis10–13-0.0532%10 Aug →
nuke13–110.0429%6 Aug →
inferno13–2-0.0031%6 Aug →
nuke13–110.0121%6 Aug →
dust212–16-0.0123%6 Aug →
inferno13–80.0141%6 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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