saint gorb, total corolla 1986

saint gorb, total corolla 1986 — CS2 Stats

FI76561198216076533[U:1:255810805]Steam profile ↗✓ No bans

407Tracked matches62%Win rate2021Tracked since
1,368Hours in CS0Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating23,768Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#35343 of 261506 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (41 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: 23,768 +6,214 21 Dec – 4 Oct · 9 days played
17,55423,998peak 23,99821 Dec4 Oct
23,998Peak Premier in tracked matches
49Days played since 2024-08-26

Premier CS Rating

  • 230 below peak (23,998)
  • +1,197 over 30 days · improving
  • Next: Red band at 25,000 — 1,232 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 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 rate39.8%42.7%43.8%3.9% short
Shot accuracy19.2%11.2%12.0%above
Kill/death ratio0.880.991.020.13 short
Match win rate40.4%43.9%44.7%4.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGsaint gorb, total corolla…FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER23,768 · 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

Aim84
Positioning73
Utility51

0–100 skill scores via Leetify.

Recent form

COLD50–37–13Last 10050%Win rateLTLLLLWTWT

Last 10 vs previous 10: −40pp win rate · −0.07 avg rating · −4.4pp headshot accuracy · −38ms reaction

Win rate down 40pp 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 17%
  • Avg reaction 522ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 527ms

Last 20

  • 8–7–5 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 546ms

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).

Aim8.4
Utility5.1
Positioning7.3
Opening Duels3.9

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 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 552ms 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

Aim8.4
Positioning7.3
Utility5.1
Mechanics7.0
Opening Duels5.5
Win Impact8.8

Composite 7.4/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time540ms−90ms
first ⅓ avg 630ms → last ⅓ avg 540ms
Headshot accuracy19.1%+1.6%
first ⅓ avg 17.5% → last ⅓ avg 19.1%

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

0.21Best match rating · 13–1 · dust2, 15 Sept →
50%Best headshot accuracy · 4–13 · mirage, 20 Jan →
391msFastest reaction time · 8–8 · inferno, 1 Oct →
13–1Biggest win · dust2, 15 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 61% over 28nukeWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2817–1161%0.02
nukeD154–1127%-0.01
dust2A148–657%0.03
vertigoC145–936%0.03
cacheA106–460%0.00
inferno—43–175%0.02
ancient—31–233%-0.04
office—32–167%0.01
anubis—21–150%-0.01
mills—21–150%0.07
shelter—11–0100%0.02
eldorado—10–10%-0.09
basalt—10–10%0.04
overpass—10–10%-0.03
train—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,937Lifetime kills
0.88K/D
1,925Matches
40.4%Match win rate
39.8%Headshot %
19.2%Shot accuracy · Top 5% of Level 4 players
4,176MVPs
1,392Hours (in match)
1,007Bombs planted
346Bombs defused

Most-used weapons

AWP15,562
AK-4713,017
SSG 081,212
FAMAS1,163
MP9954

Lifetime map wins

2,542inferno
1,678dust2
1,171nuke
610vertigo
314train
144lake
73cbble
56office

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

Faceit stats

Combat

97Matches
51%Win rate
1.35Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo367%1.2711.0
Mirage367%1.8315.0
Inferno1100%1.8524.0
Nuke10%1.0020.0
Overpass10%0.7512.0
Ancient10%0.152.0

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.

18.8%Headshot accuracy
37.1%Accuracy (enemy spotted)
42.6%Spray accuracy
81.3%Counter-strafing
8.4°Preaim
552msReaction time
58.3%T opening success
45.3%CT opening success
0.64Enemies flashed / flash
5.9%Flash assists
6.39HE damage / grenade
13.06Flashes / match

Recommended for you

Spend your practice time on Nuke

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0517%7 Oct →
nuke12–120.1016%7 Oct →
nuke8–13-0.0517%7 Oct →
ancient1–13-0.0525%7 Oct →
ancient2–13-0.0411%4 Oct →
cache11–13-0.0211%4 Oct →
mirage13–10-0.068%2 Oct →
nuke8–8-0.0411%1 Oct →
dust213–80.0120%1 Oct →
inferno8–8-0.0411%1 Oct →
vertigo13–90.1329%30 Sept →
cache12–120.0820%29 Sept →
vertigo6–130.0216%29 Sept →
vertigo5–13-0.0024%28 Sept →
vertigo13–40.077%28 Sept →
shelter13–110.0223%28 Sept →
cache13–60.0414%27 Sept →
dust215–150.0115%27 Sept →
mirage13–3-0.0120%27 Sept →
mirage13–60.0521%27 Sept →
nuke13–4-0.0227%24 Sept →
vertigo12–120.0121%23 Sept →
vertigo10–13-0.0121%23 Sept →
office13–6-0.0812%23 Sept →
mirage13–80.0323%22 Sept →
cache13–3-0.0128%15 Sept →
dust213–10.2121%15 Sept →
office13–50.0913%15 Sept →
mirage14–16-0.0722%12 Sept →
cache4–13-0.0322%3 Sept →
cache13–90.0218%30 Aug →
dust213–40.0726%30 Aug →
dust213–110.0140%30 Aug →
mirage13–110.0637%28 Aug →
anubis13–70.0425%28 Aug →
cache13–50.0230%28 Aug →
cache13–11-0.0417%23 Aug →
dust29–13-0.0517%19 Aug →
mirage2–13-0.0613%18 Aug →
cache13–80.0016%18 Aug →
anubis6–13-0.0511%17 Aug →
mirage13–5-0.0632%17 Aug →
dust212–9-0.0336%17 Aug →
nuke15–15-0.0011%17 Aug →
eldorado7–9-0.0917%14 Jul →
nuke6–130.0217%6 Feb →
mirage4–130.0419%29 Jan →
mirage4–13-0.1250%20 Jan →
vertigo13–70.109%20 Jan →
mirage13–60.0917%17 Jan →
nuke10–13-0.0811%16 Jan →
inferno13–90.0115%16 Jan →
dust213–50.0521%15 Jan →
dust213–30.0521%15 Jan →
nuke4–13-0.1120%21 Dec →
ancient13–6-0.0317%21 Dec →
vertigo6–13-0.0232%21 Dec →
dust24–13-0.0310%3 Dec →
dust212–120.0023%2 Dec →
office7–130.0222%27 Nov →
dust22–13-0.0322%27 Nov →
mirage13–60.0218%27 Nov →
mirage8–130.0820%26 Nov →
mirage12–120.1322%26 Nov →
basalt1–130.0413%26 Nov →
mirage13–9-0.0422%26 Nov →
mirage13–110.0421%26 Nov →
nuke9–130.1120%19 Nov →
mirage13–50.0323%19 Nov →
overpass8–13-0.0317%14 Nov →
train13–110.0112%14 Nov →
mirage12–12-0.0513%13 Nov →
vertigo7–130.0812%13 Nov →
vertigo8–13-0.0516%13 Nov →
dust213–30.1530%12 Nov →
mirage13–40.1113%11 Nov →
mirage13–90.0630%10 Nov →
vertigo11–30.1015%10 Nov →
mills13–40.1218%10 Nov →
mirage10–130.0911%10 Nov →
mirage12–12-0.0311%8 Nov →
mirage13–100.1118%7 Nov →
nuke10–13-0.0715%7 Nov →
nuke12–12-0.0311%6 Nov →
mirage5–130.0023%5 Nov →
inferno13–90.0223%5 Nov →
dust212–120.0535%4 Nov →
mills11–130.0310%4 Nov →
vertigo6–13-0.0318%4 Nov →
vertigo13–70.0216%4 Nov →
mirage13–70.099%30 Oct →
mirage13–5-0.017%29 Oct →
mirage3–13-0.0917%28 Oct →
vertigo7–130.0222%28 Oct →
nuke13–110.0031%20 Oct →
mirage13–20.0623%20 Oct →
inferno13–60.0918%20 Oct →
nuke13–110.0217%20 Oct →
nuke0–13-0.0623%2 Sept →
nuke13–6-0.032%26 Aug →

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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