Enemy Greeni

Enemy Greeni — CS2 Stats

FI76561198935053519[U:1:974787791]Steam profile ↗✓ No bans

566Tracked matches63%Win rate2020Tracked since
895Hours in CS
CSDB Rating5.6 SolidAll-Rounder
Premier CS Rating17,776Purple band · top ~17.3% 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 10 Sep 2026 (56 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: 17,776 +1,032 27 Feb – 10 Sept · 33 days played
15,15218,310peak 18,31027 Feb10 Sept
18,310Peak Premier in tracked matches
47Days played since 2026-01-25

Premier CS Rating

  • 534 below peak (18,310)
  • +1,449 over 90 days
  • Next: Pink band at 20,000 — 2,224 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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=14,630), 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 rate47.3%42.7%43.8%above
Shot accuracy15.5%11.2%12.0%above
Kill/death ratio1.070.991.02above
Match win rate47.2%43.9%44.7%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGEnemy GreeniFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,776 · 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

Aim63
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWLWWWWLLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −1.9pp headshot accuracy · −136ms 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 442ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 474ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

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.

Aim6.3
Utility4.8
Positioning5.2
Opening Duels2.6
Clutch5.0

Strong CT-side openerLimited utility dependence

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 89% 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

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim6.3
Positioning5.2
Utility4.8
Mechanics5.0
Opening Duels2.6
Win Impact9.4

Composite 5.6/10 (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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time567ms−54ms
first ⅓ avg 621ms → last ⅓ avg 567ms
Headshot accuracy15.8%−4.1%
first ⅓ avg 19.8% → last ⅓ avg 15.8%

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

0.22Best match rating · 13–0 · nuke, 16 Jul →
41%Best headshot accuracy · 11–13 · nuke, 22 Apr →
313msFastest reaction time · 1–13 · mirage, 20 Jun →
13–0Biggest win · nuke, 16 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 65% over 17dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%0.02
mirageD196–1332%-0.02
ancientA1811–761%-0.01
anubisS1711–665%-0.01
dust2D72–529%0.01
overpassA74–357%-0.02
infernoB63–350%-0.01
cache—42–250%-0.02
office—11–0100%-0.04
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,909Lifetime kills
1.07K/D · Top 50% of Level 4 players
2,170Matches
47.2%Match win rate · Top 25% of Level 4 players
47.3%Headshot % · Top 50% of Level 4 players
15.5%Shot accuracy · Top 25% of Level 4 players
6,320MVPs
895Hours (in match)
3,451Bombs planted
678Bombs defused

Most-used weapons

Lifetime map wins

5,986nuke
2,723inferno
1,318train
1,272vertigo
1,164dust2
221office
212lake
187cbble

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

Faceit stats

Combat

102Matches
54%Win rate
1.16Avg K/D
75.4ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1450%1.0613.6
Nuke757%1.0517.6
Anubis560%1.2718.4
Ancient520%0.9613.2
Dust2425%0.8915.0
Inferno3100%1.1514.3
Vertigo1100%3.1225.0

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.

16.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.9%Spray accuracy
72.5%Counter-strafing
9.8°Preaim
589msReaction time
32.1%T opening success
48.3%CT opening success
0.63Enemies flashed / flash
5.7%Flash assists
7.61HE damage / grenade
4.44Flashes / 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 32.089% — 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.

29% win rate across 7 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
nuke13–90.0416%10 Sept →
anubis13–160.035%10 Sept →
ancient13–90.0322%9 Sept →
anubis13–10.0215%9 Sept →
nuke13–3-0.0214%29 Aug →
ancient13–10-0.0217%29 Aug →
dust22–13-0.0611%25 Aug →
ancient3–13-0.0620%25 Aug →
mirage13–40.0120%19 Jul →
anubis13–6-0.0213%19 Jul →
inferno8–130.0016%19 Jul →
dust213–110.0316%19 Jul →
nuke13–100.0122%19 Jul →
mirage8–130.0120%18 Jul →
mirage5–13-0.067%17 Jul →
ancient13–100.0117%17 Jul →
ancient13–70.0220%16 Jul →
nuke13–00.2221%16 Jul →
mirage10–13-0.0325%16 Jul →
anubis10–13-0.045%15 Jul →
ancient13–6-0.0421%15 Jul →
anubis13–00.1216%15 Jul →
anubis16–13-0.0121%15 Jul →
nuke16–130.0220%14 Jul →
cache13–3-0.0113%14 Jul →
nuke11–130.0413%13 Jul →
cache3–13-0.058%13 Jul →
mirage11–13-0.0418%21 Jun →
dust213–100.0819%21 Jun →
inferno13–40.0017%20 Jun →
mirage10–13-0.058%20 Jun →
mirage1–13-0.078%20 Jun →
nuke13–50.0619%20 Jun →
ancient13–60.0518%20 Jun →
nuke11–13-0.038%18 Jun →
ancient16–130.0517%18 Jun →
mirage13–90.0215%17 Jun →
ancient13–90.0918%17 Jun →
mirage6–13-0.0523%16 Jun →
anubis10–130.0224%12 Jun →
nuke6–13-0.0416%12 Jun →
ancient13–9-0.0219%6 Jun →
dust210–13-0.0511%6 Jun →
mirage13–11-0.0420%3 Jun →
ancient16–14-0.0533%2 Jun →
overpass13–11-0.0524%1 Jun →
nuke13–40.0117%1 Jun →
anubis13–40.0317%31 May →
ancient6–130.0221%26 May →
inferno6–13-0.0416%26 May →
dust27–13-0.0317%26 May →
mirage13–7-0.0115%25 May →
mirage10–130.0025%25 May →
nuke6–13-0.0413%25 May →
anubis13–6-0.0514%24 May →
ancient8–13-0.0538%24 May →
nuke13–80.0717%23 May →
dust26–130.0631%22 May →
nuke13–110.0632%21 May →
mirage8–13-0.0218%21 May →
mirage13–100.0123%15 May →
anubis13–8-0.0418%15 May →
overpass13–9-0.019%14 May →
cache13–80.0319%14 May →
overpass5–13-0.0415%13 May →
cache9–13-0.0426%29 Apr →
nuke5–130.0113%28 Apr →
nuke11–13-0.0141%22 Apr →
anubis5–13-0.0734%22 Apr →
ancient8–13-0.0215%22 Apr →
dust26–130.0229%9 Apr →
overpass13–90.0114%7 Apr →
anubis10–13-0.068%7 Apr →
ancient8–13-0.095%7 Apr →
overpass8–8-0.0114%7 Apr →
mirage9–13-0.0020%4 Apr →
nuke13–8-0.0320%4 Apr →
ancient16–12-0.086%2 Apr →
office13–11-0.0414%2 Apr →
vertigo12–12-0.0423%2 Apr →
anubis4–13-0.0031%28 Feb →
nuke11–130.0017%28 Feb →
nuke13–110.0135%27 Feb →
anubis13–30.0123%24 Feb →
mirage6–130.0120%30 Jan →
nuke13–70.0417%30 Jan →
inferno13–40.0321%29 Jan →
ancient12–160.0017%29 Jan →
overpass13–90.1020%28 Jan →
inferno4–13-0.0429%28 Jan →
ancient11–13-0.0011%28 Jan →
mirage12–16-0.0121%28 Jan →
mirage4–130.0122%28 Jan →
anubis13–9-0.0520%28 Jan →
nuke15–15-0.0416%27 Jan →
mirage13–90.0129%27 Jan →
overpass4–9-0.133%27 Jan →
anubis16–140.0032%26 Jan →
inferno13–9-0.0019%26 Jan →
anubis13–30.0010%25 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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