enginger

enginger — CS2 Stats

FI76561198061214813[U:1:100949085]Steam profile ↗✓ No bans

480Tracked matches68%Win rate2020Tracked since
4,544Hours in CS67Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating21,614Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#61686 of 259962 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 21,614 +8,092 20 Oct – 4 Nov · 15 days played
13,52221,614peak 21,61420 Oct4 Nov
21,614Peak Premier in tracked matches
16Days played since 2026-10-20

Premier CS Rating

  • At peak — 21,614
  • Next: Red band at 25,000 — 3,386 to go
  • Reached: Pink band · 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 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 rate36.6%48.2%50.9%14.4% short
Shot accuracy14.2%13.2%13.7%above
Kill/death ratio0.951.071.090.13 short
Match win rate45.0%46.9%48.4%3.4% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGengingerFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER21,614 · Pink 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

Aim59
Positioning65
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY60–34–6Last 10060%Win rateWLLWWWLWTW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.5pp headshot accuracy · +25ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 525ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 520ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 507ms

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 against its own average).

Aim5.9
Utility6.4
Positioning6.5
Opening Duels5.5
Clutch3.8

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

device

Plays most like device 75% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 47% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 65% 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

Aim5.9
Positioning6.5
Utility6.4
Mechanics3.3
Opening Duels7.0
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.04
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time511ms+16ms
first ⅓ avg 495ms → last ⅓ avg 511ms
Headshot accuracy18.9%−2.1%
first ⅓ avg 21.0% → last ⅓ avg 18.9%

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

0.21Best match rating · 9–3 · inferno, 25 Oct →
50%Best headshot accuracy · 2–5 · cache, 20 Oct →
352msFastest reaction time · 2–7 · nuke, 22 Oct →
13–0Biggest win · mirage, 21 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 78% over 23ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2318–578%0.06
dust2A1811–761%0.04
cacheA1710–759%0.05
mirageB136–746%0.05
nukeA116–555%0.03
anubisS64–267%0.00
ancientD51–420%0.01
office—21–150%0.01
overpass—20–20%0.01
train—11–0100%0.07
boulder—11–0100%-0.01
fachwerk—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,393Lifetime kills
0.95K/D
5,286Matches
45.0%Match win rate
36.6%Headshot %
14.2%Shot accuracy · Top 50% of Level 9 players
11,269MVPs
4,639Hours (in match)
2,516Bombs planted
1,268Bombs defused

Most-used weapons

AK-4717,317
AWP14,444
Knife7,683
Tec-92,239
P2502,164
SSG 081,692

Lifetime map wins

7,536inferno
4,517dust2
3,015nuke
704train
490vertigo
486cbble
147office
61lake

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

Faceit stats

Combat

369Matches
54%Win rate
1.19Avg K/D
87.5ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5947%1.2216.9
Ancient3658%1.1916.2
Inferno2564%1.2616.0
Anubis2556%1.0916.5
Nuke1958%1.8118.5
Dust21338%1.1916.1
Vertigo1060%1.0014.4
Cache1090%1.7317.1

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.

19.1%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.4%Spray accuracy
65.0%Counter-strafing
10.9°Preaim
519msReaction time
69.5%T opening success
46.7%CT opening success
0.62Enemies flashed / flash
12.9%Flash assists
6.55HE damage / grenade
13.00Flashes / match

Recommended for you

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.0232%4 Nov →
anubis9–130.0019%4 Nov →
dust211–130.1121%4 Nov →
inferno13–10.0214%4 Nov →
dust213–110.0111%4 Nov →
inferno13–10-0.1315%4 Nov →
mirage10–130.0117%4 Nov →
inferno13–90.0624%4 Nov →
dust212–120.0116%3 Nov →
inferno13–70.0426%3 Nov →
dust212–120.0212%3 Nov →
dust213–7-0.0128%3 Nov →
dust213–40.0131%3 Nov →
cache13–70.0620%2 Nov →
nuke13–50.0421%2 Nov →
ancient11–13-0.0311%2 Nov →
anubis13–100.0023%2 Nov →
office13–50.0242%1 Nov →
cache13–100.0723%1 Nov →
train8–20.079%1 Nov →
cache9–130.0724%1 Nov →
office4–130.0020%31 Oct →
nuke13–110.0412%31 Oct →
mirage7–13-0.0016%31 Oct →
boulder13–1-0.0110%31 Oct →
cache11–13-0.0411%30 Oct →
dust213–90.0017%30 Oct →
inferno13–70.0121%30 Oct →
anubis0–8-0.070%30 Oct →
cache13–50.1018%30 Oct →
cache13–60.0424%30 Oct →
dust211–130.0213%29 Oct →
anubis13–11-0.0121%29 Oct →
mirage2–13-0.0920%29 Oct →
cache12–12-0.0217%28 Oct →
mirage16–130.0215%28 Oct →
ancient13–110.0316%28 Oct →
nuke13–60.0313%28 Oct →
cache13–40.1636%28 Oct →
cache13–90.0620%28 Oct →
cache13–7-0.0313%27 Oct →
mirage8–130.0516%27 Oct →
mirage13–80.0519%27 Oct →
nuke3–13-0.0512%27 Oct →
inferno15–150.068%27 Oct →
inferno13–60.1420%27 Oct →
cache6–130.039%26 Oct →
inferno5–10-0.0429%26 Oct →
anubis3–30.0217%26 Oct →
mirage11–13-0.0617%26 Oct →
inferno11–130.1115%26 Oct →
fachwerk13–8-0.0122%26 Oct →
dust213–60.0913%26 Oct →
overpass7–130.1116%25 Oct →
mirage12–120.0321%25 Oct →
inferno10–130.1017%25 Oct →
inferno13–40.0212%25 Oct →
mirage13–80.1814%25 Oct →
nuke11–130.1919%25 Oct →
nuke6–13-0.0421%25 Oct →
inferno9–30.2116%25 Oct →
nuke13–20.1017%25 Oct →
nuke10–13-0.0722%24 Oct →
cache13–100.0416%24 Oct →
cache13–20.1212%24 Oct →
dust213–30.0917%24 Oct →
dust216–130.0120%24 Oct →
mirage13–160.1011%24 Oct →
inferno13–30.0822%24 Oct →
dust210–13-0.0626%23 Oct →
ancient10–130.0911%23 Oct →
inferno13–70.0614%23 Oct →
dust213–20.0721%23 Oct →
nuke13–70.0815%23 Oct →
ancient1–13-0.1127%22 Oct →
cache13–20.0721%22 Oct →
dust213–60.1028%22 Oct →
inferno16–130.0727%22 Oct →
nuke13–3-0.0129%22 Oct →
inferno13–50.0110%22 Oct →
dust215–150.1635%22 Oct →
nuke2–7-0.0032%22 Oct →
inferno16–130.0511%22 Oct →
inferno13–100.1221%22 Oct →
mirage13–40.1520%22 Oct →
anubis13–100.0721%21 Oct →
ancient10–130.0910%21 Oct →
inferno13–60.1822%21 Oct →
mirage13–00.1415%21 Oct →
inferno6–130.0219%21 Oct →
cache11–130.1321%21 Oct →
inferno13–90.1017%21 Oct →
mirage13–100.0113%21 Oct →
dust213–40.0517%21 Oct →
cache2–5-0.0350%20 Oct →
dust213–110.0721%20 Oct →
cache9–130.0319%20 Oct →
dust213–160.0120%20 Oct →
overpass3–9-0.1032%20 Oct →
inferno9–40.0815%20 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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