Cornelius Caulk — CS2 Stats

76561199439395581[U:1:1479129853]Steam profile ↗

722Tracked matches70%Win rate2023Tracked since

CSDB Rating4.2 Developing

Premier CS Rating12,079Blue band · top ~43.9% of ranked players (population est.)

CSDB Leaderboard#12063 of 17030 tracked

FaceitLevel 5 · 853 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim31

Positioning46

Utility45

0–100 skill scores via Leetify.

Recent form

HOT48–47–5Last 10048%Win rateWLWWLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim3.1

Aggression5.8

Utility4.5

Positioning4.6

Opening Duels3.1

Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like ropz 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Areas to improve

Reaction time. 651ms 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

Aim3.1

Positioning4.6

Utility4.5

Mechanics3.7

Opening Duels3.1

Win Impact10.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time680ms+16ms

first ⅓ avg 663ms → last ⅓ avg 680ms

Headshot accuracy16.7%+1.5%

first ⅓ avg 15.2% → last ⅓ avg 16.7%

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.

Highlights

0.08Best rating — inferno 6–9

13–0Biggest win — mirage

7Longest win streak

10–11In matches decided by ≤2 rounds

16Overtime games

Map breakdown

mirageBest map · 69% over 13ancientWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	17	5–12	29%	-0.01
inferno	D	16	5–11	31%	-0.03
cache	C	14	5–9	36%	-0.01
dust2	A	14	9–5	64%	-0.02
mirage	S	13	9–4	69%	-0.00
anubis	A	12	7–5	58%	-0.02
nuke	A	11	7–4	64%	-0.02
vertigo	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

334Matches

51%Win rate

0.88Avg K/D

76.9ADR

47%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	53	58%	0.88	13.8
Ancient	51	39%	0.84	14.0
Anubis	45	47%	0.93	14.2
Mirage	45	51%	0.87	13.4
Inferno	40	58%	0.86	13.8
Nuke	40	50%	0.84	14.3
Overpass	25	48%	0.88	13.6
Cache	25	60%	0.96	15.6

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.

15.4%Headshot accuracy

28.6%Accuracy (enemy spotted)

30.6%Spray accuracy

66.6%Counter-strafing

11.2°Preaim

651msReaction time

36.0%T opening success

49.2%CT opening success

0.40Enemies flashed / flash

5.1%Flash assists

6.74HE damage / grenade

13.17Flashes / 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.

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 0.3967 — below the 0.5 mark we flag
Grenade Lineups →
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 35.99% — below the 40% mark we flag

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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–9	-0.01	12%	26 Aug →
inferno	14–16	-0.03	24%	26 Aug →
cache	13–9	-0.01	11%	26 Aug →
mirage	13–0	0.05	18%	26 Aug →
inferno	6–9	0.08	26%	26 Aug →
nuke	13–7	0.00	22%	24 Aug →
ancient	13–11	-0.05	10%	24 Aug →
dust2	16–12	0.01	25%	21 Aug →
ancient	7–13	-0.06	24%	19 Aug →
nuke	13–6	0.01	13%	19 Aug →
inferno	13–10	-0.02	20%	19 Aug →
nuke	6–13	-0.05	17%	19 Aug →
dust2	13–10	0.01	25%	19 Aug →
cache	11–2	-0.04	10%	19 Aug →
dust2	13–2	-0.03	7%	19 Aug →
cache	10–13	-0.07	6%	19 Aug →
ancient	9–13	-0.01	15%	19 Aug →
inferno	6–9	-0.05	35%	19 Aug →
nuke	16–14	-0.06	6%	15 Aug →
inferno	13–9	-0.08	6%	15 Aug →
anubis	13–5	-0.04	11%	15 Aug →
cache	15–19	-0.01	17%	15 Aug →
mirage	13–6	0.03	15%	15 Aug →
nuke	16–14	-0.04	7%	11 Aug →
dust2	13–5	-0.01	27%	11 Aug →
vertigo	13–10	0.02	29%	9 Aug →
dust2	13–8	-0.00	13%	7 Aug →
anubis	13–10	-0.03	10%	7 Aug →
ancient	13–11	0.08	10%	7 Aug →
cache	2–13	-0.06	14%	5 Aug →
dust2	1–13	-0.03	20%	5 Aug →
inferno	9–13	-0.03	21%	5 Aug →
mirage	13–4	-0.04	26%	5 Aug →
cache	11–13	0.01	16%	5 Aug →
anubis	11–2	0.03	13%	5 Aug →
nuke	13–16	-0.05	25%	5 Aug →
dust2	13–6	-0.03	23%	4 Aug →
inferno	5–13	-0.06	16%	4 Aug →
inferno	5–13	-0.02	11%	3 Aug →
anubis	5–13	-0.06	6%	3 Aug →
mirage	13–11	-0.04	9%	3 Aug →
dust2	5–13	-0.10	7%	3 Aug →
cache	9–13	-0.05	3%	3 Aug →
mirage	13–11	0.01	10%	3 Aug →
ancient	14–16	0.05	14%	3 Aug →
mirage	13–9	-0.01	21%	3 Aug →
nuke	13–11	-0.03	23%	3 Aug →
ancient	4–13	-0.02	9%	3 Aug →
ancient	4–13	-0.06	8%	3 Aug →
nuke	13–9	0.00	16%	3 Aug →
cache	15–15	0.03	17%	3 Aug →
mirage	13–4	0.06	18%	3 Aug →
dust2	11–13	-0.03	19%	3 Aug →
inferno	6–13	-0.04	10%	1 Aug →
cache	13–9	0.04	13%	1 Aug →
vertigo	11–13	-0.00	11%	29 Jul →
vertigo	2–13	-0.04	7%	29 Jul →
mirage	13–16	-0.03	18%	29 Jul →
anubis	16–12	-0.00	19%	29 Jul →
ancient	9–13	0.02	16%	28 Jul →
cache	11–13	-0.05	17%	28 Jul →
nuke	13–3	0.03	16%	28 Jul →
inferno	1–13	-0.07	10%	28 Jul →
ancient	11–13	-0.02	8%	28 Jul →
inferno	13–10	-0.07	16%	26 Jul →
mirage	13–2	-0.08	22%	26 Jul →
ancient	1–13	-0.10	0%	26 Jul →
anubis	13–5	-0.02	17%	26 Jul →
mirage	12–16	0.03	18%	26 Jul →
cache	14–16	-0.02	18%	26 Jul →
dust2	4–4	-0.02	5%	26 Jul →
nuke	11–13	-0.05	15%	25 Jul →
anubis	1–13	-0.13	50%	25 Jul →
mirage	1–13	-0.07	12%	25 Jul →
dust2	10–13	-0.11	10%	25 Jul →
inferno	13–11	-0.08	7%	25 Jul →
nuke	7–13	0.03	11%	22 Jul →
inferno	8–13	-0.02	26%	22 Jul →
anubis	9–13	-0.06	17%	22 Jul →
cache	13–6	0.03	14%	22 Jul →
ancient	15–15	0.01	16%	22 Jul →
anubis	13–4	0.08	7%	22 Jul →
cache	13–5	0.02	21%	22 Jul →
dust2	13–3	-0.05	15%	22 Jul →
inferno	13–8	0.00	13%	22 Jul →
anubis	15–15	-0.02	11%	21 Jul →
ancient	13–11	-0.01	12%	21 Jul →
mirage	13–9	0.01	13%	21 Jul →
inferno	10–13	-0.02	8%	21 Jul →
dust2	13–8	0.00	14%	21 Jul →
ancient	13–10	-0.01	15%	20 Jul →
mirage	11–13	0.07	10%	20 Jul →
inferno	15–15	0.05	14%	20 Jul →
ancient	11–13	-0.01	26%	20 Jul →
anubis	3–11	-0.04	13%	18 Jul →
ancient	8–13	0.03	19%	18 Jul →
ancient	5–13	-0.04	14%	18 Jul →
cache	10–13	0.01	18%	17 Jul →
dust2	15–15	0.05	13%	17 Jul →
anubis	13–7	0.08	9%	17 Jul →