rangoon — CS2 Stats

76561198167573726[U:1:207307998]

1,760Tracked matches47%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating23,177Top 50% of 819 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

CSDB Leaderboard#3379 of 12752 tracked

FaceitLevel 10 · 2,525 ELOTop 12.4% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning63

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWLWLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression8.6

Utility4.0

Positioning6.3

Opening Duels3.2

Clutch5.4

Sharp aimer

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 b1t 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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. 601ms 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

Aim8.8

Positioning6.3

Utility4.0

Mechanics8.4

Opening Duels3.2

Win Impact3.9

Composite 6.6/10 (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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time597ms−4ms

first ⅓ avg 601ms → last ⅓ avg 597ms

Headshot accuracy27.4%+4.1%

first ⅓ avg 23.3% → last ⅓ avg 27.4%

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

0.19Best rating — mirage 13–4

13–1Biggest win — inferno

5Longest win streak

8–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 60% over 5ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	16–14	53%	0.03
dust2	A	22	12–10	55%	0.05
inferno	C	14	6–8	43%	0.02
cache	C	9	4–5	44%	0.04
ancient	C	8	3–5	38%	0.00
nuke	A	5	3–2	60%	-0.03
anubis	—	4	3–1	75%	0.06
vertigo	—	3	2–1	67%	0.06
overpass	—	2	0–2	0%	0.04
warden	—	1	1–0	100%	0.08
train	—	1	0–1	0%	-0.00
office	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

546Matches

55%Win rate

1.09Avg K/D

76.9ADR

53%Headshot %

Clutches & streaks

47%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	181	58%	1.07	16.0
Dust2	90	58%	1.06	15.9
Ancient	81	43%	1.05	16.0
Inferno	64	56%	1.11	17.1
Anubis	41	59%	1.28	18.5
Nuke	35	60%	1.06	16.2
Overpass	26	46%	1.08	16.8
Vertigo	11	45%	1.28	17.4

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.

26.9%Headshot accuracy

36.5%Accuracy (enemy spotted)

36.5%Spray accuracy

87.9%Counter-strafing

7.8°Preaim

601msReaction time

39.6%T opening success

46.1%CT opening success

0.42Enemies flashed / flash

3.9%Flash assists

7.57HE damage / grenade

9.84Flashes / 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 0.4247 — 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 39.559% — 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.

38% win rate across 8 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
cache	6–13	-0.02	21%	5 Aug →
mirage	13–11	0.00	32%	5 Aug →
mirage	7–13	-0.01	17%	5 Aug →
vertigo	13–7	0.06	41%	4 Aug →
overpass	5–13	0.08	27%	3 Aug →
ancient	13–9	0.01	18%	2 Aug →
mirage	13–11	0.08	24%	2 Aug →
dust2	6–13	0.04	14%	2 Aug →
dust2	13–2	0.12	33%	31 Jul →
mirage	2–13	-0.02	20%	29 Jul →
anubis	13–9	0.07	38%	28 Jul →
inferno	11–13	0.01	43%	27 Jul →
anubis	9–13	0.05	27%	26 Jul →
mirage	11–13	0.00	25%	26 Jul →
mirage	1–13	-0.05	21%	17 Jul →
mirage	9–13	-0.01	28%	16 Jul →
inferno	8–13	-0.04	27%	15 Jul →
mirage	13–7	0.10	34%	15 Jul →
cache	10–13	0.03	21%	15 Jul →
mirage	13–9	0.03	14%	15 Jul →
mirage	2–13	-0.06	33%	15 Jul →
mirage	13–9	-0.00	34%	14 Jul →
nuke	11–13	-0.06	16%	12 Jul →
dust2	3–0	0.03	67%	12 Jul →
cache	13–11	0.05	20%	12 Jul →
cache	10–13	0.00	36%	12 Jul →
anubis	13–7	0.01	20%	10 Jul →
dust2	5–13	-0.01	16%	10 Jul →
mirage	13–4	0.11	27%	10 Jul →
nuke	13–2	-0.01	47%	10 Jul →
dust2	13–10	0.04	20%	9 Jul →
mirage	13–7	0.05	21%	9 Jul →
inferno	13–7	-0.00	18%	9 Jul →
mirage	3–13	-0.06	17%	9 Jul →
inferno	13–11	-0.01	30%	4 Jul →
dust2	6–13	-0.05	36%	4 Jul →
inferno	12–12	0.09	25%	30 Jun →
dust2	13–7	0.09	32%	28 Jun →
inferno	11–13	0.04	33%	28 Jun →
cache	1–13	-0.03	47%	18 Jun →
cache	13–10	0.05	43%	7 Jun →
dust2	13–3	0.08	25%	13 May →
mirage	6–13	0.03	24%	13 May →
mirage	13–4	0.19	33%	12 May →
cache	13–7	0.16	29%	12 May →
cache	13–10	0.07	23%	6 May →
dust2	11–13	0.10	23%	6 May →
ancient	8–13	-0.02	16%	6 May →
cache	9–13	0.01	32%	30 Apr →
mirage	13–10	0.04	13%	10 Apr →
mirage	13–8	0.12	31%	6 Apr →
mirage	11–13	-0.02	11%	6 Apr →
ancient	2–13	-0.09	29%	5 Apr →
mirage	6–13	-0.03	41%	5 Apr →
mirage	13–5	0.01	29%	5 Apr →
warden	13–7	0.08	23%	2 Apr →
dust2	12–12	0.13	26%	2 Apr →
anubis	13–4	0.13	22%	1 Apr →
ancient	10–13	0.05	24%	1 Apr →
dust2	13–11	0.04	31%	31 Mar →
mirage	12–12	0.02	15%	31 Mar →
ancient	13–8	0.05	18%	30 Mar →
inferno	13–1	0.07	39%	30 Mar →
dust2	16–14	0.05	21%	26 Mar →
dust2	8–13	0.02	23%	26 Mar →
mirage	13–11	0.13	21%	24 Mar →
dust2	13–9	0.07	19%	24 Mar →
vertigo	5–13	-0.07	11%	23 Mar →
train	12–12	-0.00	13%	23 Mar →
dust2	13–10	0.13	30%	23 Mar →
inferno	9–13	0.04	22%	22 Mar →
inferno	7–13	-0.05	22%	22 Mar →
vertigo	13–4	0.18	28%	22 Mar →
ancient	13–10	0.05	18%	21 Mar →
office	13–10	0.04	34%	21 Mar →
ancient	4–13	-0.01	13%	20 Mar →
ancient	9–13	-0.00	23%	20 Mar →
nuke	3–13	-0.07	14%	15 Mar →
inferno	11–13	-0.02	30%	15 Mar →
nuke	13–9	-0.00	21%	15 Mar →
inferno	13–10	0.01	25%	13 Mar →
mirage	13–4	0.09	29%	13 Mar →
dust2	4–13	-0.00	30%	5 Mar →
mirage	15–15	0.01	23%	5 Mar →
inferno	13–10	-0.01	22%	3 Mar →
dust2	10–13	-0.01	32%	3 Mar →
overpass	7–13	-0.01	16%	2 Mar →
mirage	16–12	-0.01	16%	2 Mar →
dust2	13–11	-0.04	17%	1 Mar →
nuke	13–10	-0.00	27%	28 Feb →
mirage	8–13	-0.02	23%	28 Feb →
dust2	9–13	0.04	36%	27 Feb →
mirage	13–10	-0.00	33%	27 Feb →
inferno	13–9	0.06	23%	24 Feb →
mirage	13–4	0.13	25%	24 Feb →
dust2	13–8	0.03	34%	24 Feb →
dust2	15–15	0.05	17%	23 Feb →
dust2	13–5	0.06	15%	23 Feb →
mirage	11–13	0.00	19%	23 Feb →
inferno	9–13	0.05	27%	22 Feb →