Floridian Swamp Cats — CS2 Stats

76561198069095540[U:1:108829812]✓ No bans

343Tracked matches62%Win rate2021Tracked since

1,003Hours in CS

CSDB Rating6.6 SolidPassive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning46

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateLWWWLWWTLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.1

Aggression2.2

Utility5.6

Positioning4.6

Opening Duels0.1

Strong CT-side opener

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 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 660ms 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

Aim8.1

Positioning4.6

Utility5.6

Mechanics8.4

Opening Duels2.2

Win Impact9.0

Composite 6.6/10 (Solid), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time658ms−24ms

first ⅓ avg 682ms → last ⅓ avg 658ms

Headshot accuracy14.9%−1.4%

first ⅓ avg 16.3% → last ⅓ avg 14.9%

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.

Highlights

0.14Best rating — dust2 13–0

13–0Biggest win — dust2

6Longest win streak

4–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 73% over 11mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	51	28–23	55%	-0.00
ancient	S	11	8–3	73%	0.00
nuke	A	10	6–4	60%	-0.02
inferno	A	9	5–4	56%	-0.01
mirage	D	8	2–6	25%	-0.02
anubis	D	6	2–4	33%	0.00
overpass	—	3	1–2	33%	0.01
cache	—	1	1–0	100%	0.04
vertigo	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,405Lifetime kills

1.00K/D

2,360Matches

44.5%Match win rate

35.7%Headshot %

16.4%Shot accuracy · Top 25% of tracked players

5,166MVPs

1,003Hours (in match)

3,481Bombs planted

542Bombs defused

Most-used weapons

AK-479,705

M4A4 / M4A1-S6,316

AWP5,105

P2000 / USP-S3,238

P902,693

Glock-182,111

P2501,935

Desert Eagle1,891

Tec-91,416

UMP-451,108

Lifetime map wins

14,996dust2

1,787inferno

1,036nuke

111vertigo

82train

63cbble

38office

26safehouse

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

Faceit stats

Combat

15Matches

73%Win rate

1.07Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	6	83%	1.28	15.8
Anubis	2	100%	0.70	8.5
Mirage	2	50%	1.46	18.0
Vertigo	1	100%	1.13	35.0
Inferno	1	0%	0.65	11.0

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.

14.8%Headshot accuracy

42.1%Accuracy (enemy spotted)

48.9%Spray accuracy

87.7%Counter-strafing

10.5°Preaim

660msReaction time

13.3%T opening success

47.9%CT opening success

0.61Enemies flashed / flash

7.1%Flash assists

8.12HE damage / grenade

6.07Flashes / 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.

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 14.8447% — below the 15% mark we flag
Aim Training →
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 13.2601% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–16	-0.00	20%	13 Aug →
cache	13–6	0.04	20%	3 Aug →
ancient	13–7	-0.01	9%	19 Jul →
dust2	13–8	-0.04	22%	10 Jul →
dust2	12–16	-0.04	18%	9 Jul →
dust2	13–9	-0.03	9%	7 Jul →
anubis	13–11	0.02	14%	6 Jul →
dust2	12–12	-0.06	14%	5 Jul →
anubis	9–13	-0.02	12%	4 Jul →
overpass	9–13	0.04	16%	4 Jul →
dust2	13–4	0.03	21%	3 Jul →
nuke	7–13	-0.05	13%	3 Jul →
dust2	13–5	0.02	16%	2 Jul →
nuke	13–11	-0.10	16%	1 Jul →
dust2	6–13	-0.03	27%	30 Jun →
inferno	8–13	-0.02	16%	26 Jun →
anubis	11–13	-0.06	6%	26 Jun →
vertigo	13–10	-0.04	8%	20 Jun →
mirage	13–1	-0.02	15%	20 Jun →
ancient	13–9	0.01	9%	19 Jun →
dust2	13–7	0.08	20%	18 Jun →
dust2	3–7	-0.06	18%	17 Jun →
dust2	13–11	-0.02	11%	16 Jun →
dust2	13–5	0.11	13%	16 Jun →
dust2	13–0	0.14	15%	15 Jun →
dust2	0–3	-0.03	20%	15 Jun →
dust2	13–0	0.02	12%	15 Jun →
ancient	13–10	0.03	11%	14 Jun →
anubis	7–13	0.03	17%	12 Jun →
dust2	13–2	0.03	14%	11 Jun →
anubis	13–2	0.05	13%	9 Jun →
nuke	13–9	0.08	12%	7 Jun →
ancient	6–0	-0.04	14%	7 Jun →
overpass	13–7	0.04	12%	6 Jun →
inferno	4–13	-0.09	5%	6 Jun →
dust2	8–13	-0.05	13%	5 Jun →
nuke	13–3	0.02	18%	4 Jun →
inferno	13–16	-0.03	6%	3 Jun →
dust2	13–6	0.01	10%	2 Jun →
inferno	13–10	0.01	21%	31 May →
dust2	6–13	-0.06	13%	30 May →
nuke	13–4	-0.05	22%	27 May →
nuke	13–1	0.02	10%	25 May →
ancient	9–13	-0.08	15%	25 May →
ancient	13–9	0.03	12%	24 May →
dust2	13–7	-0.03	17%	23 May →
overpass	11–13	-0.05	19%	22 May →
ancient	9–13	-0.02	19%	17 May →
ancient	16–13	0.01	16%	15 May →
nuke	13–2	0.05	23%	14 May →
inferno	16–13	-0.03	13%	13 May →
dust2	16–13	0.05	22%	11 May →
dust2	13–3	0.06	26%	9 May →
inferno	13–5	0.04	17%	7 May →
ancient	11–13	0.01	10%	5 May →
inferno	15–15	0.00	17%	4 May →
nuke	8–13	-0.06	25%	1 May →
dust2	9–13	0.00	13%	28 Apr →
nuke	9–13	-0.07	8%	25 Apr →
mirage	6–13	-0.03	16%	24 Apr →
inferno	13–10	0.04	17%	24 Apr →
dust2	13–1	0.12	29%	19 Apr →
dust2	13–7	0.11	19%	18 Apr →
dust2	1–9	-0.08	0%	13 Apr →
nuke	15–15	-0.01	14%	13 Apr →
inferno	13–1	0.01	13%	12 Apr →
dust2	11–13	0.02	16%	2 Jan →
mirage	6–13	-0.02	25%	2 Jan →
dust2	13–9	-0.02	12%	9 Jul →
dust2	1–13	-0.07	22%	9 Jul →
dust2	8–13	-0.05	4%	5 Apr →
dust2	5–13	-0.05	26%	3 Apr →
dust2	13–4	0.06	12%	2 Apr →
dust2	13–9	-0.01	9%	1 Apr →
dust2	4–13	-0.10	11%	27 Mar →
dust2	13–9	-0.02	13%	26 Mar →
dust2	9–13	0.01	23%	1 Dec →
dust2	4–13	-0.08	16%	20 Nov →
dust2	13–10	0.08	20%	19 Nov →
dust2	13–10	-0.03	11%	28 May →
mirage	4–7	0.01	17%	3 May →
mirage	9–13	-0.03	18%	28 Apr →
mirage	12–12	-0.05	10%	27 Apr →
dust2	13–3	0.04	14%	27 Apr →
ancient	13–10	0.01	7%	27 Apr →
dust2	2–9	-0.08	13%	27 Apr →
dust2	10–13	0.00	18%	14 Apr →
dust2	3–13	-0.01	13%	9 Apr →
dust2	13–5	-0.04	12%	8 Apr →
dust2	1–9	-0.07	16%	7 Apr →
dust2	12–3	-0.03	20%	5 Apr →
dust2	13–11	0.08	13%	31 Mar →
dust2	0–13	-0.04	19%	30 Mar →
dust2	12–12	0.04	9%	29 Mar →
mirage	12–12	-0.03	12%	27 Mar →
dust2	9–13	-0.02	27%	8 Mar →
ancient	13–9	0.08	29%	12 Feb →
dust2	13–4	0.04	15%	10 Feb →
mirage	13–3	0.03	35%	9 Feb →
dust2	13–6	-0.02	18%	8 Feb →