Romet Wood

Romet Wood — CS2 Stats

EE76561198179283937[U:1:219018209]Steam profile ↗✓ No bans

1,050Tracked matches36%Win rate2020Tracked since
2,139Hours in CS5Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
Premier CS Rating15,316Purple band · top ~27.1% 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 8 Oct 2026 (14 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: 15,316 -1,960 31 Aug – 8 Oct · 23 days played
15,31619,999peak 19,99931 Aug8 Oct
19,999Peak Premier in tracked matches
25Days played since 2026-08-31

Premier CS Rating

  • 4,683 below peak (19,999)
  • -3,477 over 30 days · declining
  • Next: Pink band at 20,000 — 4,684 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 rate37.2%42.7%43.7%6.6% short
Shot accuracy14.6%11.2%12.0%above
Kill/death ratio0.970.991.020.05 short
Match win rate44.4%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 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.GGRomet WoodFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,316 · 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

Aim41
Positioning49
Utility41

0–100 skill scores via Leetify.

Recent form

COLD51–44–5Last 10051%Win rateLLTLLWWLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −14ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 591ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

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).

Aim4.1
Utility4.1
Positioning4.9
Opening Duels1.0
Clutch2.0

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 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 50% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.1
Positioning4.9
Utility4.1
Mechanics3.9
Opening Duels2.6
Win Impact0.2

Composite 3.7/10 (Learning), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time599ms+29ms
first ⅓ avg 570ms → last ⅓ avg 599ms
Headshot accuracy14.0%+1.5%
first ⅓ avg 12.6% → last ⅓ avg 14.0%

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

0.10Best match rating · 9–5 · vertigo, 17 Sept →
24%Best headshot accuracy · 4–13 · mirage, 3 Sept →
391msFastest reaction time · 13–1 · mirage, 12 Sept →
13–0Biggest win · ancient, 11 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
13–2In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 70% over 10dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.02
infernoC167–944%-0.02
dust2C156–940%-0.03
ancientC156–940%-0.03
nukeA116–555%-0.00
anubisS107–370%0.00
cacheC73–443%-0.03
vertigo—33–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,622Lifetime kills
0.97K/D
2,773Matches
44.4%Match win rate · Top 50% of Level 4 players
37.2%Headshot %
14.6%Shot accuracy · Top 50% of Level 4 players
5,855MVPs
959Hours (in match)
2,051Bombs planted
506Bombs defused

Most-used weapons

AK-4714,007
AWP2,655
AUG2,262
MP91,229
MP7757

Lifetime map wins

3,135inferno
1,932dust2
1,561nuke
767train
733vertigo
356cbble
167lake
151office

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

Faceit stats

Combat

72Matches
47%Win rate
0.93Avg K/D
75.8ADR
41%Headshot %

Clutches & streaks

30%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2442%0.9715.5
Inferno1631%0.8314.6
Anubis1450%0.8212.7
Cache5100%0.9014.0
Ancient540%0.8914.2
Vertigo367%1.4713.7
Dust22100%1.5019.5
Nuke1100%0.7311.0

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.

14.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.9%Spray accuracy
67.4%Counter-strafing
11.8°Preaim
602msReaction time
50.3%T opening success
30.5%CT opening success
0.49Enemies flashed / flash
4.4%Flash assists
6.28HE damage / grenade
5.02Flashes / 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. 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 14.1064% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4854 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 30.518% — below the 40% mark we flag

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.

40% win rate across 15 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
inferno8–13-0.0511%8 Oct →
dust212–16-0.0610%8 Oct →
dust215–15-0.0313%7 Oct →
mirage5–130.0421%7 Oct →
mirage10–13-0.0216%29 Sept →
vertigo13–5-0.0312%29 Sept →
vertigo13–110.0313%29 Sept →
dust27–13-0.0215%28 Sept →
mirage10–13-0.0120%23 Sept →
mirage8–13-0.0710%22 Sept →
dust213–5-0.0411%22 Sept →
inferno13–60.0621%22 Sept →
mirage13–30.0010%22 Sept →
ancient10–130.0111%21 Sept →
ancient15–15-0.0214%20 Sept →
ancient5–130.029%19 Sept →
dust25–130.0011%19 Sept →
ancient5–13-0.0319%19 Sept →
dust213–11-0.0216%18 Sept →
inferno4–13-0.135%18 Sept →
inferno5–130.0223%18 Sept →
mirage13–30.0220%18 Sept →
anubis13–110.0122%18 Sept →
vertigo9–50.1017%17 Sept →
nuke13–70.0119%17 Sept →
inferno6–130.0118%17 Sept →
mirage13–11-0.0017%17 Sept →
anubis10–130.0313%15 Sept →
nuke10–130.028%15 Sept →
ancient6–13-0.0810%15 Sept →
cache10–13-0.048%15 Sept →
ancient13–11-0.029%14 Sept →
ancient11–13-0.0412%14 Sept →
mirage13–5-0.0513%14 Sept →
mirage8–13-0.088%14 Sept →
inferno15–150.0223%14 Sept →
dust25–130.0224%14 Sept →
anubis13–50.0712%14 Sept →
ancient7–13-0.0111%13 Sept →
inferno9–13-0.0614%13 Sept →
nuke9–130.0019%13 Sept →
mirage13–1-0.035%12 Sept →
nuke13–80.055%11 Sept →
inferno9–13-0.0410%11 Sept →
ancient13–0-0.0010%11 Sept →
cache13–60.0316%11 Sept →
dust213–11-0.0417%11 Sept →
anubis13–8-0.0219%11 Sept →
inferno13–11-0.069%11 Sept →
ancient13–9-0.078%11 Sept →
mirage7–130.022%11 Sept →
inferno13–6-0.039%11 Sept →
inferno12–16-0.0210%10 Sept →
dust213–10-0.0514%10 Sept →
cache6–130.0315%10 Sept →
anubis5–13-0.034%10 Sept →
inferno13–110.0021%10 Sept →
anubis9–130.016%10 Sept →
mirage14–16-0.019%10 Sept →
dust29–13-0.0812%9 Sept →
nuke13–4-0.0011%9 Sept →
ancient13–16-0.0616%9 Sept →
anubis13–8-0.0317%9 Sept →
ancient13–5-0.0614%9 Sept →
mirage2–13-0.0519%9 Sept →
mirage13–10-0.0210%9 Sept →
cache4–13-0.1224%8 Sept →
ancient13–70.025%8 Sept →
nuke13–4-0.0520%8 Sept →
mirage13–5-0.0113%8 Sept →
nuke15–150.0213%8 Sept →
cache10–13-0.069%8 Sept →
nuke6–13-0.0217%7 Sept →
mirage15–150.0220%6 Sept →
nuke13–8-0.0216%6 Sept →
anubis13–30.004%6 Sept →
inferno13–8-0.0516%6 Sept →
dust213–50.0719%6 Sept →
cache13–4-0.0417%6 Sept →
anubis13–6-0.019%6 Sept →
mirage13–11-0.0114%6 Sept →
inferno13–8-0.0311%6 Sept →
nuke10–13-0.0213%6 Sept →
dust26–13-0.0513%4 Sept →
ancient3–13-0.019%4 Sept →
mirage13–80.019%4 Sept →
dust213–6-0.0114%4 Sept →
dust27–13-0.0217%4 Sept →
mirage13–11-0.057%4 Sept →
mirage4–13-0.0824%3 Sept →
dust27–13-0.0715%2 Sept →
ancient13–11-0.0314%2 Sept →
cache13–5-0.0314%2 Sept →
inferno7–13-0.0111%2 Sept →
inferno13–11-0.019%31 Aug →
anubis13–11-0.0313%31 Aug →
nuke13–6-0.0310%31 Aug →
mirage13–40.019%31 Aug →
mirage13–9-0.048%31 Aug →
mirage13–7-0.064%31 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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