Professor [w]oof

Professor [w]oof — CS2 Stats

IE76561198201027053[U:1:240761325]Steam profile ↗✓ No bans

3,185Tracked matches46%Win rate2020Tracked since
5,918Hours in CS5Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

+30Tracked matches · now 3,185
−11.5ppWin rate · 57.7% → 46.2%

Rating over time

31Days played since 2026-08-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim68
Positioning50
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateWLWLWLWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −5.4pp headshot accuracy · +107ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 624ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 635ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

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 (+1.9 against its own average).

Aim6.8
Utility4.1
Positioning5.0
Opening Duels1.8
Clutch1.4

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 96% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

CT openings. Opening success drops from 56% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 590ms 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
Positioning5.0
Utility4.1
Mechanics7.3
Opening Duels3.7
Win Impact3.7

Composite 5.5/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time579ms−41ms
first ⅓ avg 619ms → last ⅓ avg 579ms
Headshot accuracy18.1%−0.2%
first ⅓ avg 18.2% → last ⅓ avg 18.1%

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 · 13–8 · nuke, 8 Aug →
38%Best headshot accuracy · 10–13 · boulder, 8 Aug →
422msFastest reaction time · 13–3 · vertigo, 9 Sept →
13–0Biggest win · vertigo, 26 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

fachwerkBest map · 83% over 12boulderWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
nukeB2613–1350%-0.01
vertigoA2514–1156%-0.00
boulderD206–1430%-0.00
fachwerkS1210–283%0.01
shelterS75–271%-0.00
dust2—31–233%-0.00
inferno—30–30%-0.01
anubis—21–150%-0.07
office—10–10%-0.05
cache—11–0100%0.04

Across the last 100 tracked matches.

Lifetime stats

152,846Lifetime kills
1.01K/D
8,124Matches
44.2%Match win rate
47.1%Headshot % · Top 50% of tracked players
15.9%Shot accuracy · Top 25% of tracked players
15,386MVPs
3,248Hours (in match)
7,212Bombs planted
1,763Bombs defused

Most-used weapons

AK-4750,079
AWP7,369
P904,844
MP94,499
MAC-104,079
SSG 083,758

Lifetime map wins

19,718vertigo
18,163nuke
5,824dust2
3,747inferno
1,406train
783cbble
520lake
481office

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

Faceit stats

Combat

269Matches
56%Win rate
0.89Avg K/D
66.7ADR
40%Headshot %

Clutches & streaks

27%1v1 clutch win
6%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo7165%1.0014.3
Ancient3554%0.7811.4
Nuke3040%0.9314.5
Anubis2152%0.8814.1
Overpass1937%0.7312.1
Inferno1464%0.9512.4
Dust2250%0.427.0
Mirage10%0.507.0

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.

17.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.3%Spray accuracy
82.7%Counter-strafing
10.7°Preaim
590msReaction time
55.9%T opening success
34.1%CT opening success
0.39Enemies flashed / flash
7.4%Flash assists
12.53HE damage / grenade
6.21Flashes / 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. 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 0.3947 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.0876% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0219%25 Oct →
dust213–160.0115%25 Oct →
anubis13–10-0.0514%24 Oct →
nuke8–13-0.0311%24 Oct →
nuke13–100.0316%23 Oct →
vertigo9–13-0.0214%23 Oct →
nuke13–9-0.0110%19 Oct →
dust216–12-0.0416%19 Oct →
vertigo13–60.0116%18 Oct →
nuke4–13-0.1215%18 Oct →
fachwerk12–120.0214%18 Oct →
boulder13–5-0.0121%18 Oct →
nuke13–10-0.0526%13 Oct →
vertigo13–10.1018%13 Oct →
boulder4–13-0.0723%12 Oct →
nuke6–13-0.0424%12 Oct →
boulder12–12-0.0413%10 Oct →
nuke13–50.0111%10 Oct →
shelter13–11-0.0130%10 Oct →
vertigo6–9-0.0018%10 Oct →
boulder5–13-0.0322%3 Oct →
vertigo2–13-0.0619%3 Oct →
nuke3–13-0.0513%26 Sept →
inferno15–150.0218%26 Sept →
boulder5–13-0.0226%25 Sept →
vertigo13–10-0.0523%25 Sept →
nuke10–13-0.0212%25 Sept →
nuke1–13-0.0315%25 Sept →
office6–13-0.058%19 Sept →
dust212–120.0121%19 Sept →
boulder2–13-0.0731%9 Sept →
nuke13–8-0.0715%9 Sept →
vertigo13–50.0329%9 Sept →
vertigo13–30.0314%9 Sept →
nuke13–10-0.0117%9 Sept →
shelter9–13-0.0023%4 Sept →
boulder12–120.0214%4 Sept →
boulder10–130.0416%30 Aug →
vertigo4–13-0.127%30 Aug →
nuke13–100.0316%30 Aug →
vertigo13–4-0.0118%29 Aug →
nuke13–80.0317%29 Aug →
vertigo13–30.0226%28 Aug →
boulder13–1-0.0023%28 Aug →
nuke11–13-0.0113%28 Aug →
vertigo10–130.0318%28 Aug →
fachwerk13–5-0.0526%26 Aug →
shelter13–10-0.018%26 Aug →
vertigo13–0-0.040%26 Aug →
vertigo8–13-0.0227%26 Aug →
fachwerk2–13-0.077%25 Aug →
vertigo4–13-0.0720%25 Aug →
shelter13–7-0.027%25 Aug →
vertigo5–13-0.0015%25 Aug →
vertigo12–120.0421%25 Aug →
fachwerk13–30.0123%16 Aug →
vertigo12–12-0.0916%16 Aug →
nuke7–13-0.0512%16 Aug →
fachwerk13–100.0821%15 Aug →
boulder12–12-0.0216%15 Aug →
shelter13–30.0225%15 Aug →
vertigo13–20.079%15 Aug →
nuke9–2-0.0120%15 Aug →
fachwerk13–7-0.0114%15 Aug →
boulder2–13-0.0316%14 Aug →
shelter13–10.0325%14 Aug →
nuke13–70.0918%14 Aug →
vertigo13–50.0117%14 Aug →
boulder8–130.0625%11 Aug →
vertigo13–10-0.0419%11 Aug →
fachwerk13–10-0.0225%9 Aug →
boulder10–13-0.0327%9 Aug →
nuke13–80.1626%8 Aug →
fachwerk2–00.000%8 Aug →
boulder10–130.0438%8 Aug →
fachwerk13–80.0420%8 Aug →
vertigo13–5-0.0110%8 Aug →
nuke8–130.0423%8 Aug →
boulder13–80.0321%8 Aug →
fachwerk13–60.0715%8 Aug →
anubis13–16-0.0914%7 Aug →
nuke2–13-0.1119%7 Aug →
cache13–40.0415%7 Aug →
boulder13–50.069%6 Aug →
nuke13–90.1212%6 Aug →
nuke10–13-0.0427%4 Aug →
vertigo12–120.0416%4 Aug →
nuke11–130.1120%4 Aug →
shelter8–13-0.0216%4 Aug →
inferno5–130.0922%3 Aug →
nuke2–11-0.0711%3 Aug →
boulder5–13-0.0426%3 Aug →
vertigo13–40.0417%3 Aug →
inferno1–9-0.1413%2 Aug →
boulder13–60.0716%2 Aug →
fachwerk13–7-0.043%2 Aug →
vertigo13–90.0122%2 Aug →
boulder7–13-0.0215%2 Aug →
fachwerk13–110.0621%2 Aug →
boulder13–90.0125%1 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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