oohf

oohf — CS2 Stats

76561198852154950[U:1:891889222]Steam profile ↗✓ No bans

1,345Tracked matches54%Win rate2021Tracked since
864Hours in CS
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating16,504Purple band · top ~22.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (31 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: 16,504 +5,924 8 Jan – 15 Sept · 4 days played
10,58016,504peak 16,5048 Jan15 Sept
16,504Peak Premier in tracked matches
46Days played since 2025-11-22

Premier CS Rating

  • At peak — 16,504
  • Next: Pink band at 20,000 — 3,496 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,250), 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 rate45.6%41.8%42.7%above
Shot accuracy12.3%12.2%11.3%above
Kill/death ratio0.990.980.99meets
Match win rate44.6%43.3%43.9%meets

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGoohfFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,504 · 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

Aim68
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateLWTWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · +79ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 661ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 655ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 615ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility5.9
Positioning5.2
Opening Duels4.3

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

m0NESY

Plays most like m0NESY 86% 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. 632ms 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

Aim6.8
Positioning5.2
Utility5.9
Mechanics7.7
Opening Duels3.8
Win Impact6.2

Composite 6.1/10 (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 rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time622ms−65ms
first ⅓ avg 687ms → last ⅓ avg 622ms
Headshot accuracy16.5%−0.5%
first ⅓ avg 17.0% → last ⅓ avg 16.5%

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 · 13–3 · inferno, 1 Sept →
35%Best headshot accuracy · 3–13 · ancient, 30 Sept →
422msFastest reaction time · 3–1 · mirage, 4 Dec →
13–1Biggest win · mirage, 23 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 59% over 22anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%0.02
dust2D155–1033%-0.02
infernoD134–931%0.01
nukeC135–838%-0.02
vertigoB126–650%-0.00
ancientC114–736%0.00
anubisD72–529%-0.02
overpass—43–175%-0.01
cache—21–150%-0.06
office—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,471Lifetime kills
0.99K/D · Top 50% of Level 3 players
2,678Matches
44.6%Match win rate · Top 50% of Level 3 players
45.6%Headshot % · Top 50% of Level 3 players
12.3%Shot accuracy · Top 50% of Level 3 players
4,425MVPs
864Hours (in match)
1,509Bombs planted
518Bombs defused

Most-used weapons

Lifetime map wins

3,339inferno
1,916vertigo
1,746dust2
1,525nuke
190train
51cbble
32office
6ar_baggage

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

Faceit stats

Combat

2Matches
0%Win rate
0.96Avg K/D
—ADR
26%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

16.6%Headshot accuracy
37.1%Accuracy (enemy spotted)
35.4%Spray accuracy
84.8%Counter-strafing
10.3°Preaim
632msReaction time
37.9%T opening success
52.6%CT opening success
0.53Enemies flashed / flash
12.0%Flash assists
11.82HE damage / grenade
6.36Flashes / 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 37.8681% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0535%30 Sept →
vertigo13–9-0.0013%20 Sept →
anubis12–12-0.0413%16 Sept →
inferno13–80.0210%15 Sept →
dust213–16-0.0512%8 Sept →
mirage13–60.0133%8 Sept →
dust216–13-0.0117%7 Sept →
inferno8–13-0.067%7 Sept →
inferno13–80.0616%7 Sept →
ancient13–40.0624%7 Sept →
mirage13–3-0.0221%7 Sept →
ancient7–130.0116%5 Sept →
dust22–13-0.0213%5 Sept →
mirage13–11-0.0117%5 Sept →
inferno13–30.1414%1 Sept →
dust213–60.0728%31 Aug →
ancient13–90.0510%31 Aug →
ancient7–130.027%29 Aug →
overpass4–13-0.0512%29 Aug →
inferno10–13-0.0313%28 Aug →
mirage16–140.0018%22 Aug →
dust213–3-0.0312%22 Aug →
mirage7–130.0019%21 Aug →
ancient12–120.0323%20 Aug →
dust26–13-0.0813%7 Aug →
inferno9–13-0.0116%7 Aug →
inferno8–130.0022%7 Aug →
anubis13–80.0316%17 Jul →
mirage13–20.0313%1 May →
cache3–13-0.0721%1 May →
cache13–4-0.0415%1 May →
vertigo4–13-0.0012%18 Apr →
anubis9–13-0.0115%11 Apr →
vertigo11–13-0.0313%11 Apr →
vertigo13–6-0.0225%7 Mar →
mirage8–130.0024%7 Mar →
anubis9–13-0.0125%7 Mar →
mirage12–120.0116%7 Mar →
overpass6–1-0.100%7 Mar →
mirage9–13-0.0014%7 Mar →
ancient13–9-0.0126%19 Feb →
vertigo10–130.0127%17 Feb →
anubis8–13-0.0217%17 Feb →
dust210–13-0.0115%1 Feb →
anubis6–4-0.0525%25 Jan →
mirage9–130.0718%16 Jan →
overpass13–90.0621%8 Jan →
dust215–15-0.0914%8 Jan →
nuke1–130.0319%8 Jan →
vertigo12–12-0.0215%7 Jan →
inferno12–12-0.0510%30 Dec →
inferno11–13-0.0216%26 Dec →
inferno4–13-0.0233%24 Dec →
nuke13–7-0.0026%24 Dec →
nuke13–80.0216%24 Dec →
mirage11–13-0.0113%23 Dec →
nuke1–13-0.0622%22 Dec →
vertigo13–6-0.0514%21 Dec →
vertigo5–13-0.0410%19 Dec →
vertigo4–130.0113%19 Dec →
vertigo13–100.0112%19 Dec →
inferno10–130.1319%15 Dec →
inferno13–5-0.0520%14 Dec →
ancient5–13-0.0211%14 Dec →
inferno6–130.0316%14 Dec →
anubis12–12-0.0112%14 Dec →
mirage13–70.0621%14 Dec →
dust212–12-0.0315%14 Dec →
dust28–13-0.0117%14 Dec →
dust213–30.0119%14 Dec →
ancient4–13-0.0412%14 Dec →
nuke10–13-0.0416%14 Dec →
mirage8–130.0224%13 Dec →
mirage13–11-0.0110%9 Dec →
nuke9–130.0214%9 Dec →
mirage1–13-0.0224%9 Dec →
mirage13–60.1026%5 Dec →
nuke7–13-0.0618%4 Dec →
mirage3–1-0.020%4 Dec →
ancient8–130.0310%29 Nov →
dust23–13-0.065%29 Nov →
dust212–12-0.037%29 Nov →
dust213–100.0521%29 Nov →
nuke13–70.0621%29 Nov →
mirage11–13-0.0621%28 Nov →
nuke9–13-0.0424%28 Nov →
mirage13–90.0719%28 Nov →
overpass13–60.059%28 Nov →
vertigo13–20.1026%28 Nov →
nuke2–13-0.0616%28 Nov →
mirage13–100.0416%25 Nov →
vertigo6–10.0313%24 Nov →
nuke13–6-0.0122%24 Nov →
nuke13–10-0.0227%23 Nov →
mirage13–10.1021%23 Nov →
office11–13-0.0524%22 Nov →
mirage13–100.0015%22 Nov →
ancient13–9-0.0319%22 Nov →
dust27–13-0.0517%22 Nov →
nuke10–13-0.0814%22 Nov →

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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