gothferrari

gothferrari — CS2 Stats

HK76561199475711877[U:1:1515446149]Steam profile ↗✓ No bans

842Tracked matches71%Win rate2023Tracked since
1,604Hours in CS4Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating23,930Pink band · top ~4.2% of ranked players (population est.)
FaceitLevel 7 · 988 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGgothferrariFACEITLevel 7 · 988 ELOSTANDINGTop 42.3% of rankedPREMIER23,930 · 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

Aim70
Positioning65
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateLWLWWLLLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −2.1pp headshot accuracy · +45ms 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 15%
  • Avg reaction 595ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 587ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

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 (+1.3 against its own average).

Aim7.0
Utility5.9
Positioning6.5
Opening Duels5.2
Clutch3.4

Effective flashes

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

jL

Plays most like jL 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 551ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.0
Positioning6.5
Utility5.9
Mechanics3.3
Opening Duels5.8
Win Impact10.0

Composite 6.5/10 (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 rating0.05−0.01
first ⅓ avg 0.06 → last ⅓ avg 0.05
Reaction time549ms−99ms
first ⅓ avg 647ms → last ⅓ avg 549ms
Headshot accuracy18.8%−4.1%
first ⅓ avg 22.9% → last ⅓ avg 18.8%

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

0.26Best match rating · 9–6 · inferno, 4 Aug →
37%Best headshot accuracy · 13–4 · anubis, 20 Jul →
313msFastest reaction time · 6–9 · inferno, 4 Aug →
13–0Biggest win · nuke, 5 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 71% over 14infernoWeakest map · 52% over 23
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.04
nukeS2114–767%0.09
mirageA1610–663%0.03
ancientS1410–471%0.04
dust2A127–558%0.06
anubisA95–456%0.04
poseidon—21–150%0.15
boulder—10–10%0.06
debris—10–10%0.06
cache—10–10%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (52% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,462Lifetime kills
0.98K/D
2,471Matches
45.7%Match win rate
46.5%Headshot %
2.2%Shot accuracy
7,128MVPs
874Hours (in match)
1,771Bombs planted
648Bombs defused

Most-used weapons

Lifetime map wins

3,883inferno
3,776nuke
2,146vertigo
1,616dust2
287lake
152train
38cbble
34office

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

Faceit stats

Combat

505Matches
49%Win rate
1.11Avg K/D
82.2ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage11751%1.1816.1
Nuke10955%1.1916.4
Ancient9447%1.0917.2
Anubis5847%1.0215.2
Inferno5751%1.0916.2
Dust24432%0.9314.4
Vertigo1362%1.1616.3
Overpass633%0.8214.8

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
36.8%Accuracy (enemy spotted)
36.6%Spray accuracy
64.9%Counter-strafing
8.0°Preaim
551msReaction time
58.2%T opening success
48.6%CT opening success
0.74Enemies flashed / flash
4.5%Flash assists
7.42HE damage / grenade
10.46Flashes / match

Recent matches

MapScoreRatingHS%Date
anubis2–13-0.0611%2 Nov →
mirage13–40.0121%2 Nov →
ancient9–130.0212%1 Nov →
dust213–30.1621%29 Oct →
mirage13–60.028%9 Oct →
inferno1–9-0.139%7 Oct →
mirage3–130.0311%7 Oct →
mirage4–130.0628%7 Oct →
mirage13–40.1219%7 Oct →
mirage7–13-0.0219%7 Oct →
anubis12–120.0514%7 Oct →
mirage2–13-0.0210%23 Sept →
boulder12–120.0620%20 Sept →
ancient13–20.1018%20 Sept →
ancient5–13-0.0510%16 Sept →
anubis13–10.1132%16 Sept →
mirage13–60.0714%3 Sept →
ancient13–90.0215%3 Sept →
anubis13–100.0827%2 Sept →
nuke13–110.1022%2 Sept →
dust213–100.1719%28 Aug →
nuke13–30.0529%28 Aug →
mirage16–140.0821%26 Aug →
dust22–130.0016%26 Aug →
nuke9–50.0923%24 Aug →
inferno13–6-0.0215%24 Aug →
inferno1–9-0.1019%20 Aug →
inferno9–70.1526%20 Aug →
nuke9–70.1032%20 Aug →
ancient13–110.1319%20 Aug →
ancient13–100.0918%20 Aug →
nuke6–90.0810%20 Aug →
poseidon9–20.1833%20 Aug →
mirage13–100.0719%19 Aug →
mirage13–4-0.0110%18 Aug →
mirage13–10-0.0010%18 Aug →
dust213–80.1019%10 Aug →
nuke13–00.1012%5 Aug →
nuke9–130.0427%5 Aug →
mirage4–130.0131%4 Aug →
inferno6–90.0126%4 Aug →
inferno9–60.2625%4 Aug →
inferno9–50.1922%4 Aug →
inferno9–60.1429%4 Aug →
ancient13–90.0220%3 Aug →
inferno1–9-0.2013%2 Aug →
dust210–130.0530%2 Aug →
inferno13–100.0335%1 Aug →
mirage11–130.0019%31 Jul →
nuke9–13-0.0811%31 Jul →
ancient13–5-0.008%28 Jul →
ancient11–130.0526%28 Jul →
dust25–130.0827%28 Jul →
dust213–80.0718%28 Jul →
dust213–80.0217%28 Jul →
dust213–10-0.0317%27 Jul →
ancient13–90.0228%27 Jul →
inferno9–130.0421%27 Jul →
dust213–60.0724%27 Jul →
mirage13–10.0024%26 Jul →
nuke7–130.0630%26 Jul →
nuke9–20.2330%25 Jul →
dust213–160.0319%25 Jul →
anubis10–13-0.0216%25 Jul →
nuke9–60.2018%25 Jul →
ancient13–20.0531%25 Jul →
dust29–130.0619%25 Jul →
debris8–80.0620%23 Jul →
inferno8–80.1218%23 Jul →
inferno7–9-0.0431%23 Jul →
nuke13–8-0.0021%23 Jul →
nuke9–40.2316%22 Jul →
inferno8–80.1317%22 Jul →
anubis13–80.1117%22 Jul →
nuke13–80.0423%22 Jul →
nuke10–130.0921%22 Jul →
anubis13–110.0418%22 Jul →
inferno9–70.0830%21 Jul →
mirage13–40.0311%21 Jul →
inferno9–50.0618%21 Jul →
inferno13–10.0817%21 Jul →
nuke13–70.1127%21 Jul →
inferno6–90.0211%21 Jul →
inferno9–40.0220%21 Jul →
nuke9–60.1718%21 Jul →
ancient13–110.0536%21 Jul →
inferno8–13-0.0124%21 Jul →
nuke13–20.0232%21 Jul →
inferno9–30.1514%20 Jul →
nuke9–70.0819%20 Jul →
nuke7–130.1127%20 Jul →
anubis13–40.1037%20 Jul →
ancient13–50.0624%20 Jul →
poseidon7–90.1127%20 Jul →
cache6–130.0831%20 Jul →
anubis7–13-0.0424%8 Jul →
nuke10–130.1025%8 Jul →
ancient7–13-0.0131%30 Jun →
inferno13–10-0.0127%28 Jun →
inferno4–9-0.0825%25 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.