Cocodrilo Dundee. — CS2 Stats

BF76561198095776601[U:1:135510873]Steam profile ↗✓ No bans

1,467Tracked matches50%Win rate2020Tracked since

CSDB Rating4.0 DevelopingSupport

Premier CS Rating17,056Purple band · top ~20.2% of ranked players (population est.)

CSDB Leaderboard#12801 of 22587 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

Share this profile

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

Aim38

Positioning27

Utility74

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWLLWLLWWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim3.8

Aggression0.0

Utility7.4

Positioning2.7

Opening Duels0.0

Clutch2.8

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.

Your pro match

Plays most like NiKo 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 605ms 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

Aim3.8

Positioning2.7

Utility7.4

Mechanics4.6

Opening Duels0.0

Win Impact5.0

Composite 4.0/10 (Developing), 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 rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time605ms−43ms

first ⅓ avg 648ms → last ⅓ avg 605ms

Headshot accuracy13.6%−4.2%

first ⅓ avg 17.8% → last ⅓ avg 13.6%

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

0.14Best rating — mirage 13–7

13–0Biggest win — nuke

5Longest win streak

9–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 63% over 27dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	17–10	63%	-0.02
nuke	B	19	9–10	47%	-0.02
ancient	D	15	5–10	33%	-0.02
cache	D	13	4–9	31%	-0.04
anubis	A	11	6–5	55%	-0.03
mirage	C	9	4–5	44%	-0.02
dust2	D	5	1–4	20%	-0.01
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

863Matches

50%Win rate

0.83Avg K/D

60.6ADR

37%Headshot %

Clutches & streaks

34%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	97	56%	0.83	12.3
Ancient	93	47%	0.79	11.9
Nuke	83	58%	0.86	12.5
Dust2	65	46%	0.83	12.4
Anubis	51	39%	0.73	11.3
Mirage	45	49%	0.77	11.0
Train	19	63%	0.70	10.5
Cache	13	62%	0.88	10.5

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.

13.1%Headshot accuracy

29.5%Accuracy (enemy spotted)

35.3%Spray accuracy

70.8%Counter-strafing

12.1°Preaim

605msReaction time

10.9%T opening success

21.7%CT opening success

0.79Enemies flashed / flash

6.8%Flash assists

9.69HE damage / grenade

12.27Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1046° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.0856% — below the 15% mark we flag
Aim Training →

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.

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	14–16	0.02	17%	28 Aug →
inferno	13–4	0.06	12%	28 Aug →
anubis	4–13	-0.09	17%	26 Aug →
inferno	12–16	-0.07	17%	26 Aug →
ancient	13–10	-0.03	13%	24 Aug →
inferno	10–13	0.02	5%	24 Aug →
dust2	9–13	-0.10	24%	21 Aug →
ancient	13–6	-0.02	7%	21 Aug →
inferno	13–5	-0.05	6%	21 Aug →
anubis	8–13	0.03	15%	21 Aug →
cache	9–13	-0.05	12%	21 Aug →
cache	13–11	-0.06	2%	20 Aug →
anubis	10–13	-0.11	7%	20 Aug →
inferno	13–8	-0.04	5%	20 Aug →
mirage	11–13	-0.03	10%	20 Aug →
mirage	13–10	-0.02	9%	18 Aug →
ancient	0–13	-0.03	13%	17 Aug →
nuke	6–13	-0.05	15%	17 Aug →
inferno	13–6	-0.01	17%	17 Aug →
inferno	8–8	-0.09	3%	5 Aug →
mirage	13–7	0.14	12%	5 Aug →
cache	8–13	-0.09	12%	3 Aug →
mirage	3–13	-0.10	10%	27 Jul →
inferno	13–11	-0.02	18%	26 Jul →
nuke	13–4	-0.08	31%	25 Jul →
cache	13–7	-0.05	8%	25 Jul →
inferno	13–3	-0.01	16%	24 Jul →
ancient	8–13	-0.07	18%	24 Jul →
inferno	13–9	0.02	18%	24 Jul →
inferno	13–8	-0.01	22%	21 Jul →
cache	4–13	-0.04	6%	18 Jul →
cache	10–13	-0.01	27%	17 Jul →
anubis	9–13	-0.00	27%	17 Jul →
inferno	8–13	-0.02	12%	17 Jul →
cache	0–13	-0.07	0%	16 Jul →
cache	13–6	-0.00	12%	14 Jul →
mirage	13–4	-0.03	14%	14 Jul →
dust2	13–9	-0.00	17%	14 Jul →
nuke	13–8	0.02	20%	13 Jul →
cache	15–15	-0.02	12%	11 Jul →
inferno	13–10	-0.03	17%	11 Jul →
anubis	13–11	0.04	7%	11 Jul →
ancient	13–3	-0.01	17%	11 Jul →
inferno	13–11	-0.07	13%	10 Jul →
nuke	13–10	0.01	20%	10 Jul →
cache	8–13	-0.04	13%	9 Jul →
nuke	13–6	-0.00	10%	8 Jul →
cache	13–3	-0.04	28%	8 Jul →
ancient	7–13	-0.04	12%	6 Jul →
inferno	11–13	-0.05	18%	5 Jul →
anubis	13–9	-0.00	5%	5 Jul →
inferno	8–13	-0.00	13%	3 Jul →
ancient	9–13	-0.06	7%	3 Jul →
nuke	13–0	0.04	20%	3 Jul →
anubis	13–11	-0.07	13%	2 Jul →
anubis	10–13	-0.01	10%	30 Jun →
anubis	13–10	-0.04	8%	30 Jun →
mirage	1–13	-0.03	24%	29 Jun →
nuke	8–13	0.02	11%	29 Jun →
anubis	13–7	-0.03	4%	29 Jun →
nuke	13–11	0.01	9%	26 Jun →
ancient	10–13	-0.04	15%	26 Jun →
mirage	9–13	-0.00	14%	26 Jun →
ancient	11–13	0.03	12%	26 Jun →
nuke	11–13	0.01	15%	26 Jun →
dust2	5–13	-0.09	10%	25 Jun →
ancient	4–13	-0.07	0%	25 Jun →
inferno	7–13	-0.08	7%	24 Jun →
nuke	5–13	-0.06	20%	24 Jun →
ancient	11–13	0.00	24%	22 Jun →
ancient	10–13	-0.05	34%	22 Jun →
nuke	7–0	0.04	33%	22 Jun →
dust2	9–13	0.07	13%	22 Jun →
mirage	16–14	-0.05	8%	21 Jun →
inferno	4–13	-0.00	8%	19 Jun →
ancient	13–9	0.04	12%	19 Jun →
ancient	9–13	-0.01	29%	18 Jun →
nuke	13–11	-0.08	5%	16 Jun →
inferno	13–5	-0.03	39%	16 Jun →
nuke	7–13	-0.07	16%	12 Jun →
dust2	3–13	0.07	14%	11 Jun →
overpass	7–13	0.01	13%	10 Jun →
nuke	7–9	-0.12	27%	10 Jun →
inferno	9–5	-0.03	15%	10 Jun →
inferno	13–4	0.05	9%	8 Jun →
mirage	10–13	-0.02	18%	8 Jun →
nuke	6–13	-0.06	13%	6 Jun →
inferno	13–8	0.00	12%	5 Jun →
nuke	9–13	-0.03	18%	5 Jun →
cache	2–13	-0.00	33%	5 Jun →
inferno	5–13	-0.08	15%	30 May →
inferno	13–2	-0.03	17%	30 May →
anubis	16–13	-0.05	24%	22 May →
inferno	13–5	0.03	14%	22 May →
ancient	13–9	-0.04	4%	22 May →
nuke	15–15	-0.01	19%	16 May →
nuke	5–13	-0.01	23%	15 May →
nuke	13–7	-0.01	9%	7 May →
inferno	11–13	-0.03	23%	1 May →
inferno	13–11	-0.05	20%	1 May →