Exdeee — CS2 Stats

76561198021865184[U:1:61599456]

4,038Tracked matches68%Win rate2020Tracked since

CSDB Rating7.3 StrongHybrid Rifler

Premier CS Rating28,568Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.3% of ranked players (population est.)

CSDB Leaderboard#400 of 31870 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning53

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY64–34–2Last 10064%Win rateWLLLWLWWLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.8

Aggression4.8

Utility5.7

Positioning5.3

Opening Duels2.4

Clutch4.6

Sharp aimerStrong 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 95% playstyle similarity

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

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning5.3

Utility5.7

Mechanics7.6

Opening Duels2.7

Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time503ms−65ms

first ⅓ avg 568ms → last ⅓ avg 503ms

Headshot accuracy23.9%−4.0%

first ⅓ avg 27.9% → last ⅓ avg 23.9%

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

0.18Best rating — dust2 13–1

13–0Biggest win — inferno

13Longest win streak

9–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 89% over 9nukeWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	35	23–12	66%	0.03
anubis	A	15	9–6	60%	0.03
cache	S	11	9–2	82%	0.03
ancient	S	9	8–1	89%	0.07
inferno	B	8	4–4	50%	0.02
mirage	A	8	5–3	63%	0.05
nuke	C	7	3–4	43%	0.06
vertigo	—	3	1–2	33%	0.07
train	—	2	2–0	100%	0.11
office	—	1	0–1	0%	0.07
fachwerk	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,275Matches

52%Win rate

1.13Avg K/D

87.1ADR

48%Headshot %

Clutches & streaks

43%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	194	46%	1.13	17.5
Ancient	185	49%	1.12	17.3
Mirage	175	53%	1.03	16.2
Anubis	87	69%	1.36	17.8
Inferno	85	49%	1.11	16.5
Train	39	67%	1.65	17.2
Nuke	33	45%	1.11	17.3
Overpass	28	57%	1.03	16.5

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.

22.9%Headshot accuracy

35.6%Accuracy (enemy spotted)

41.4%Spray accuracy

84.0%Counter-strafing

8.9°Preaim

500msReaction time

28.0%T opening success

51.3%CT opening success

0.47Enemies flashed / flash

8.0%Flash assists

10.57HE damage / grenade

12.60Flashes / 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 0.4707 — 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 28.0262% — below the 40% mark we flag

Spend your practice time on Nuke

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–0	-0.07	4%	24 Aug →
vertigo	10–13	0.05	21%	22 Aug →
anubis	8–13	0.02	22%	22 Aug →
inferno	7–13	-0.01	30%	22 Aug →
dust2	12–1	-0.01	17%	22 Aug →
nuke	0–13	-0.03	20%	22 Aug →
ancient	13–8	-0.03	15%	22 Aug →
dust2	13–2	0.12	32%	22 Aug →
office	9–13	0.07	19%	21 Aug →
inferno	6–13	0.07	23%	21 Aug →
dust2	13–11	0.08	21%	21 Aug →
cache	13–6	0.03	21%	21 Aug →
ancient	13–8	-0.00	25%	21 Aug →
anubis	13–10	0.14	23%	21 Aug →
dust2	5–13	-0.07	33%	21 Aug →
mirage	10–13	0.00	20%	21 Aug →
dust2	13–11	-0.06	29%	21 Aug →
mirage	15–15	0.03	18%	20 Aug →
dust2	13–11	0.01	22%	20 Aug →
inferno	8–3	0.11	39%	20 Aug →
cache	13–9	-0.02	26%	20 Aug →
dust2	13–6	0.05	27%	20 Aug →
ancient	15–15	0.14	19%	20 Aug →
inferno	13–5	0.02	41%	20 Aug →
anubis	13–10	0.06	25%	20 Aug →
dust2	13–6	0.02	17%	20 Aug →
dust2	13–3	0.02	17%	20 Aug →
dust2	1–13	-0.08	14%	19 Aug →
dust2	13–10	0.03	28%	10 Aug →
anubis	13–8	0.09	24%	10 Aug →
dust2	6–13	0.03	43%	10 Aug →
dust2	13–4	0.07	30%	10 Aug →
ancient	13–8	0.13	26%	10 Aug →
dust2	13–10	0.02	24%	10 Aug →
anubis	13–6	0.02	18%	9 Aug →
nuke	13–3	0.09	20%	8 Aug →
anubis	13–3	0.03	22%	8 Aug →
cache	13–11	-0.01	33%	8 Aug →
dust2	13–1	0.18	35%	8 Aug →
cache	13–10	0.07	25%	8 Aug →
anubis	13–9	0.08	14%	8 Aug →
ancient	13–6	0.13	25%	8 Aug →
dust2	13–7	0.06	21%	8 Aug →
ancient	13–11	0.12	14%	8 Aug →
anubis	8–13	0.02	22%	8 Aug →
dust2	13–7	0.07	34%	8 Aug →
dust2	13–6	0.06	19%	8 Aug →
mirage	13–7	0.11	20%	8 Aug →
nuke	11–13	0.18	30%	8 Aug →
dust2	10–13	0.04	21%	7 Aug →
mirage	16–14	0.08	22%	7 Aug →
dust2	13–3	0.05	37%	30 Jul →
anubis	9–13	-0.01	19%	30 Jul →
nuke	2–13	0.01	24%	30 Jul →
anubis	9–13	-0.04	9%	30 Jul →
anubis	8–13	0.00	25%	30 Jul →
cache	13–5	0.08	20%	30 Jul →
inferno	12–16	-0.04	30%	30 Jul →
inferno	13–4	0.07	25%	29 Jul →
dust2	3–13	-0.03	21%	29 Jul →
ancient	13–11	0.04	27%	25 Jul →
dust2	14–16	-0.03	29%	25 Jul →
dust2	10–13	-0.01	31%	25 Jul →
dust2	13–10	-0.00	37%	25 Jul →
anubis	7–13	-0.02	23%	25 Jul →
mirage	13–2	0.16	26%	24 Jul →
dust2	13–5	0.08	34%	24 Jul →
anubis	13–4	-0.04	8%	24 Jul →
cache	11–13	0.08	29%	24 Jul →
dust2	13–10	0.03	37%	24 Jul →
dust2	7–13	0.04	17%	23 Jul →
cache	13–10	0.01	27%	23 Jul →
dust2	13–9	0.10	36%	21 Jul →
dust2	13–7	0.07	38%	21 Jul →
dust2	13–3	0.11	26%	21 Jul →
ancient	13–6	0.04	29%	21 Jul →
nuke	12–16	0.02	27%	17 Jul →
dust2	6–13	-0.01	13%	11 Jul →
mirage	4–13	-0.01	18%	10 Jul →
cache	4–13	-0.02	35%	10 Jul →
train	13–7	0.10	45%	10 Jul →
fachwerk	3–13	-0.07	25%	10 Jul →
vertigo	11–13	0.03	28%	10 Jul →
dust2	11–13	-0.04	14%	10 Jul →
anubis	13–11	0.04	26%	10 Jul →
anubis	13–9	0.07	13%	9 Jul →
nuke	13–1	0.08	29%	9 Jul →
inferno	12–16	0.02	37%	9 Jul →
dust2	10–13	0.01	45%	9 Jul →
cache	13–10	0.10	19%	8 Jul →
ancient	13–10	0.07	30%	7 Jul →
cache	13–8	0.04	40%	7 Jul →
mirage	13–8	0.06	27%	7 Jul →
dust2	3–13	-0.05	38%	7 Jul →
mirage	13–6	-0.00	18%	7 Jul →
dust2	13–10	0.05	35%	7 Jul →
nuke	13–7	0.04	18%	2 Jul →
cache	13–11	0.01	23%	2 Jul →
vertigo	13–3	0.12	43%	2 Jul →
train	13–8	0.12	27%	2 Jul →