Zerxes — CS2 Stats

76561199105884843[U:1:1145619115]

1,913Tracked matches60%Win rate2022Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating25,188Top 25% of 819 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning53

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLWLWWLWLWW

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

Player DNA

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

Aim8.4

Aggression4.6

Utility3.2

Positioning5.3

Opening Duels1.5

Clutch1.0

Limited utility dependence

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 89% playstyle similarity

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

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

Areas to improve

Positioning. Positioning trails aim by 31 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.

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

Aim8.4

Positioning5.3

Utility3.2

Mechanics7.8

Opening Duels1.7

Win Impact8.3

Composite 6.5/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time542ms−52ms

first ⅓ avg 594ms → last ⅓ avg 542ms

Headshot accuracy13.4%+0.3%

first ⅓ avg 13.2% → last ⅓ avg 13.4%

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

0.16Best rating — nuke 13–6

13–1Biggest win — dust2

5Longest win streak

11–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 71% over 24ancientWeakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	15–13	54%	0.00
nuke	S	24	17–7	71%	0.02
ancient	B	17	8–9	47%	0.00
anubis	B	10	5–5	50%	-0.01
dust2	A	9	5–4	56%	-0.02
cache	A	8	5–3	63%	0.02
overpass	—	2	0–2	0%	0.02
vertigo	—	1	1–0	100%	0.06
inferno	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

240Matches

57%Win rate

0.91Avg K/D

78.7ADR

37%Headshot %

Clutches & streaks

25%1v1 clutch win

17%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	45	49%	0.89	14.1
Ancient	43	60%	0.99	14.2
Anubis	37	59%	0.93	12.4
Vertigo	23	74%	0.73	10.2
Nuke	20	50%	1.04	14.2
Inferno	19	47%	1.06	13.5
Train	11	64%	1.06	14.2
Overpass	10	80%	0.95	13.5

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.

13.4%Headshot accuracy

38.8%Accuracy (enemy spotted)

43.6%Spray accuracy

85.0%Counter-strafing

8.7°Preaim

538msReaction time

28.4%T opening success

43.3%CT opening success

0.47Enemies flashed / flash

4.0%Flash assists

6.76HE damage / grenade

4.76Flashes / 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 13.41% — below the 15% mark we flag
Aim Training →
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 0.4695 — 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 28.3712% — 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.

47% win rate across 17 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
dust2	14–16	0.01	12%	27 Aug →
mirage	13–10	0.01	24%	26 Aug →
nuke	10–13	-0.00	16%	16 Aug →
ancient	13–11	0.04	19%	16 Aug →
ancient	13–11	0.07	10%	15 Aug →
mirage	3–13	-0.05	13%	11 Aug →
mirage	13–6	-0.03	20%	9 Aug →
mirage	9–13	-0.04	10%	9 Aug →
anubis	13–9	-0.02	8%	8 Aug →
cache	13–8	-0.02	9%	8 Aug →
nuke	4–13	-0.00	13%	5 Aug →
ancient	7–13	-0.03	16%	5 Aug →
vertigo	13–5	0.06	8%	5 Aug →
anubis	10–13	0.01	12%	4 Aug →
ancient	5–0	0.04	9%	4 Aug →
cache	13–9	0.05	17%	3 Aug →
mirage	13–10	-0.04	5%	2 Aug →
nuke	13–4	0.02	13%	2 Aug →
anubis	7–13	-0.02	17%	2 Aug →
mirage	10–13	0.04	14%	1 Aug →
mirage	13–8	0.04	15%	1 Aug →
dust2	5–13	-0.09	19%	1 Aug →
cache	5–13	0.03	11%	1 Aug →
cache	13–11	0.06	19%	1 Aug →
nuke	16–14	-0.01	14%	31 Jul →
anubis	13–7	-0.03	12%	31 Jul →
mirage	3–13	-0.04	11%	29 Jul →
nuke	13–10	0.01	13%	29 Jul →
mirage	13–4	0.06	7%	29 Jul →
nuke	13–6	-0.01	13%	26 Jul →
anubis	11–13	-0.04	11%	26 Jul →
mirage	13–9	-0.01	15%	26 Jul →
nuke	13–6	0.16	21%	25 Jul →
ancient	2–13	-0.09	6%	25 Jul →
cache	14–16	0.05	26%	25 Jul →
mirage	8–13	-0.01	13%	25 Jul →
ancient	13–8	0.13	35%	25 Jul →
nuke	13–7	0.08	24%	25 Jul →
ancient	13–3	0.09	28%	25 Jul →
anubis	13–10	0.00	31%	21 Jul →
dust2	13–5	0.06	35%	19 Jul →
anubis	0–13	-0.02	0%	19 Jul →
mirage	6–13	-0.00	20%	19 Jul →
mirage	13–5	-0.04	17%	19 Jul →
nuke	13–8	-0.02	15%	18 Jul →
cache	8–13	-0.04	30%	18 Jul →
cache	13–9	-0.02	12%	15 Jul →
cache	13–9	0.02	7%	15 Jul →
anubis	8–13	-0.06	12%	14 Jul →
ancient	13–4	-0.04	0%	5 Jul →
ancient	7–13	-0.03	9%	5 Jul →
nuke	13–5	0.01	28%	5 Jul →
mirage	3–2	-0.07	20%	5 Jul →
mirage	3–1	-0.04	20%	5 Jul →
overpass	15–15	0.02	21%	5 Jul →
nuke	13–10	0.01	17%	3 Jul →
mirage	6–13	0.03	13%	3 Jul →
anubis	13–6	0.07	24%	3 Jul →
mirage	10–13	-0.02	14%	3 Jul →
dust2	13–5	0.00	21%	2 Jul →
inferno	5–13	-0.02	18%	2 Jul →
nuke	5–13	0.01	13%	2 Jul →
mirage	9–13	-0.00	26%	2 Jul →
dust2	13–10	-0.02	17%	2 Jul →
nuke	13–11	0.05	9%	1 Jul →
nuke	13–7	0.00	9%	1 Jul →
dust2	13–9	0.00	13%	1 Jul →
nuke	1–13	-0.05	22%	1 Jul →
mirage	13–3	0.06	16%	1 Jul →
mirage	13–8	-0.01	10%	30 Jun →
dust2	13–16	-0.03	21%	29 Jun →
mirage	13–11	0.04	16%	29 Jun →
nuke	13–6	-0.02	20%	28 Jun →
nuke	8–13	-0.00	20%	28 Jun →
ancient	13–11	-0.00	10%	28 Jun →
mirage	11–13	0.05	6%	28 Jun →
ancient	4–13	-0.03	2%	26 Jun →
mirage	13–6	0.07	10%	26 Jun →
mirage	13–11	-0.00	12%	24 Jun →
ancient	10–13	-0.01	10%	24 Jun →
ancient	8–13	-0.03	18%	23 Jun →
mirage	1–13	-0.01	6%	23 Jun →
anubis	13–4	-0.02	6%	22 Jun →
dust2	0–13	-0.10	7%	18 Jun →
ancient	13–11	0.03	19%	18 Jun →
mirage	13–16	-0.01	9%	18 Jun →
nuke	7–13	-0.01	8%	17 Jun →
mirage	5–0	0.02	14%	16 Jun →
overpass	11–13	0.01	5%	8 Jun →
nuke	13–9	0.01	24%	5 Jun →
nuke	13–7	0.10	17%	4 Jun →
nuke	6–13	-0.02	24%	4 Jun →
ancient	14–16	0.06	13%	2 Jun →
mirage	9–13	0.04	13%	2 Jun →
ancient	6–13	-0.04	13%	31 May →
ancient	8–13	-0.07	15%	31 May →
dust2	13–1	-0.01	3%	31 May →
nuke	13–9	-0.00	14%	30 May →
nuke	13–10	0.09	20%	30 May →
nuke	13–10	-0.02	11%	30 May →