iAMSeXx67 — CS2 Stats

76561198017569053[U:1:57303325]

2,080Tracked matches63%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

FaceitLevel 10 · 2,598 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning57

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateLLWLWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.3

Aggression9.1

Utility5.6

Positioning5.7

Opening Duels5.1

Clutch3.8

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 donk 92% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim8.3

Positioning5.7

Utility5.6

Mechanics6.5

Opening Duels5.1

Win Impact9.4

Composite 7.0/10 (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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time560ms−50ms

first ⅓ avg 610ms → last ⅓ avg 560ms

Headshot accuracy22.5%+4.8%

first ⅓ avg 17.6% → last ⅓ avg 22.5%

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

0.17Best rating — nuke 13–0

13–0Biggest win — nuke

7Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

18Overtime games

Map breakdown

nukeBest map · 74% over 23mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	23	17–6	74%	0.04
cache	S	18	13–5	72%	0.02
inferno	A	14	8–6	57%	-0.01
dust2	C	12	5–7	42%	-0.00
ancient	B	11	5–6	45%	0.01
overpass	S	9	6–3	67%	0.06
mirage	D	8	2–6	25%	-0.01
anubis	—	3	2–1	67%	0.03
vertigo	—	1	1–0	100%	0.08
train	—	1	1–0	100%	0.12

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.

Faceit stats

Combat

7,733Matches

54%Win rate

1.25Avg K/D

94.8ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

27%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	145	46%	1.34	19.8
Nuke	133	63%	1.52	21.3
Ancient	108	45%	1.33	20.0
Overpass	76	59%	1.53	21.7
Dust2	75	39%	1.14	19.3
Cache	55	53%	1.32	20.1
Inferno	55	36%	1.11	18.4
Anubis	40	30%	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.

22.3%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.4%Spray accuracy

79.4%Counter-strafing

8.6°Preaim

558msReaction time

38.0%T opening success

62.8%CT opening success

0.64Enemies flashed / flash

8.7%Flash assists

9.99HE damage / grenade

8.89Flashes / 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
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 38.0119% — 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
mirage	4–13	-0.02	21%	23 Aug →
nuke	11–13	-0.01	15%	22 Aug →
vertigo	13–7	0.08	16%	22 Aug →
cache	0–13	-0.08	28%	21 Aug →
nuke	13–10	0.04	20%	19 Aug →
dust2	16–14	-0.02	17%	18 Aug →
ancient	13–16	-0.01	17%	18 Aug →
anubis	9–13	0.08	24%	17 Aug →
ancient	16–12	0.03	28%	17 Aug →
inferno	16–13	0.04	28%	17 Aug →
nuke	13–6	0.02	24%	17 Aug →
mirage	13–16	-0.04	20%	16 Aug →
mirage	3–13	-0.05	8%	15 Aug →
nuke	10–13	0.03	34%	14 Aug →
cache	12–2	0.02	31%	14 Aug →
nuke	13–7	0.10	20%	14 Aug →
anubis	13–6	0.01	15%	14 Aug →
dust2	13–11	0.01	32%	14 Aug →
ancient	11–13	0.05	25%	4 Aug →
cache	4–13	0.03	31%	4 Aug →
anubis	13–11	0.01	17%	4 Aug →
ancient	13–11	0.00	24%	31 Jul →
nuke	13–9	0.04	19%	31 Jul →
mirage	13–16	-0.03	20%	31 Jul →
nuke	16–12	0.10	14%	31 Jul →
nuke	13–10	0.01	31%	30 Jul →
nuke	19–15	0.06	16%	29 Jul →
ancient	13–10	0.02	27%	27 Jul →
dust2	13–8	-0.02	20%	27 Jul →
inferno	13–10	-0.02	33%	25 Jul →
dust2	9–13	0.00	18%	24 Jul →
nuke	19–16	0.09	15%	23 Jul →
nuke	13–6	-0.05	32%	23 Jul →
inferno	1–13	-0.07	36%	23 Jul →
nuke	7–13	0.05	20%	21 Jul →
inferno	13–7	-0.04	13%	21 Jul →
ancient	10–13	-0.01	23%	18 Jul →
dust2	8–13	-0.05	9%	16 Jul →
dust2	13–16	0.05	19%	13 Jul →
inferno	13–6	-0.02	17%	13 Jul →
cache	13–11	0.01	18%	12 Jul →
cache	13–4	0.02	19%	12 Jul →
nuke	13–7	0.06	18%	12 Jul →
dust2	13–16	-0.01	19%	8 Jul →
cache	13–6	0.04	16%	7 Jul →
inferno	7–13	-0.04	14%	7 Jul →
nuke	16–19	0.07	11%	7 Jul →
dust2	13–8	0.02	23%	3 Jul →
overpass	13–4	0.16	14%	22 Jun →
ancient	11–13	-0.06	15%	18 Jun →
overpass	13–10	0.02	31%	18 Jun →
mirage	10–13	-0.01	16%	18 Jun →
cache	14–16	0.04	25%	7 Jun →
cache	13–9	0.03	25%	6 Jun →
cache	13–11	0.07	33%	6 Jun →
cache	13–2	-0.03	27%	6 Jun →
ancient	14–16	0.02	20%	2 Jun →
nuke	9–13	-0.03	25%	28 May →
nuke	13–6	0.09	23%	26 May →
nuke	13–10	0.11	13%	26 May →
dust2	5–13	0.03	31%	26 May →
mirage	13–4	0.15	26%	25 May →
overpass	13–9	0.03	16%	25 May →
overpass	5–13	0.03	16%	25 May →
nuke	13–0	0.17	33%	25 May →
train	13–1	0.12	17%	25 May →
inferno	13–9	0.01	30%	21 May →
mirage	6–13	-0.06	11%	21 May →
overpass	10–13	0.12	27%	21 May →
nuke	13–6	0.01	14%	18 May →
inferno	14–16	0.04	20%	18 May →
dust2	10–13	-0.02	21%	18 May →
inferno	9–13	-0.04	19%	15 May →
ancient	13–11	-0.00	12%	15 May →
cache	13–11	-0.01	22%	15 May →
nuke	16–13	0.03	14%	13 May →
overpass	8–13	0.01	13%	13 May →
inferno	10–13	0.00	16%	13 May →
cache	7–13	-0.04	15%	12 May →
cache	19–16	-0.01	13%	12 May →
overpass	16–13	0.02	28%	12 May →
cache	13–5	0.03	20%	11 May →
cache	13–10	-0.01	12%	11 May →
inferno	13–7	0.01	11%	11 May →
overpass	13–5	0.10	25%	7 May →
cache	13–7	0.11	25%	7 May →
cache	7–13	0.02	10%	6 May →
cache	13–3	0.05	20%	3 May →
nuke	11–13	0.06	20%	31 Mar →
inferno	13–5	0.00	14%	24 Mar →
ancient	13–1	0.08	7%	24 Mar →
inferno	13–7	-0.03	11%	23 Mar →
inferno	5–13	0.01	14%	19 Mar →
mirage	13–9	0.00	26%	19 Mar →
overpass	13–5	0.05	11%	19 Mar →
nuke	13–7	-0.01	17%	18 Mar →
ancient	6–13	-0.04	29%	18 Mar →
dust2	2–13	-0.08	41%	17 Mar →
nuke	13–5	-0.00	18%	17 Mar →
dust2	13–11	0.06	5%	15 Mar →