cerzex — CS2 Stats

76561198238682744[U:1:278417016]✓ No bans

886Tracked matches63%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning61

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY63–36–1Last 10063%Win rateWWLWWWWLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim7.8

Aggression6.5

Utility5.4

Positioning6.1

Opening Duels2.6

Clutch2.2

Excellent counter-strafingStrong 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 b1t 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim 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

Areas to improve

T-side openings. Opening success drops from 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim7.8

Positioning6.1

Utility5.4

Mechanics8.5

Opening Duels2.8

Win Impact9.4

Composite 6.9/10 (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 rating-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time620ms+10ms

first ⅓ avg 610ms → last ⅓ avg 620ms

Headshot accuracy18.7%−1.3%

first ⅓ avg 20.0% → last ⅓ avg 18.7%

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 — mirage 13–10

13–2Biggest win — dust2

15Longest win streak

W2Current streak

12–2In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 80% over 15dust2Weakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	35	23–12	66%	0.00
anubis	A	19	11–8	58%	-0.01
inferno	S	15	12–3	80%	0.00
ancient	A	14	8–6	57%	0.01
dust2	B	11	5–6	45%	-0.01
overpass	—	2	2–0	100%	-0.03
grail	—	2	1–1	50%	0.04
nuke	—	1	0–1	0%	-0.05
train	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

473Matches

53%Win rate

1.06Avg K/D

73.4ADR

43%Headshot %

Clutches & streaks

31%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	63	49%	1.00	14.5
Anubis	35	51%	0.98	16.3
Ancient	27	52%	1.23	15.0
Inferno	24	46%	0.99	14.7
Dust2	16	31%	0.95	13.0
Train	4	75%	1.32	15.5
Nuke	2	50%	0.84	12.5
Overpass	2	0%	0.70	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.

18.6%Headshot accuracy

36.1%Accuracy (enemy spotted)

42.4%Spray accuracy

88.5%Counter-strafing

10.0°Preaim

620msReaction time

28.2%T opening success

52.5%CT opening success

0.64Enemies flashed / flash

6.6%Flash assists

11.02HE damage / grenade

8.95Flashes / 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 28.1619% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	0.02	26%	24 Aug →
mirage	13–7	0.05	18%	24 Aug →
inferno	11–13	-0.02	20%	24 Aug →
mirage	13–6	0.01	22%	24 Aug →
mirage	13–10	0.04	25%	8 Aug →
anubis	13–10	0.03	14%	8 Aug →
inferno	13–9	0.06	22%	2 May →
mirage	5–13	-0.05	14%	2 May →
mirage	10–13	-0.07	11%	2 May →
anubis	9–13	-0.05	24%	26 Apr →
overpass	9–1	-0.03	19%	26 Apr →
mirage	13–9	-0.01	21%	26 Apr →
anubis	5–13	0.00	26%	26 Apr →
dust2	13–5	-0.04	10%	26 Apr →
mirage	4–13	-0.04	15%	26 Apr →
inferno	13–6	-0.05	19%	25 Apr →
dust2	13–2	0.06	10%	25 Apr →
mirage	13–6	0.12	20%	25 Apr →
inferno	13–7	0.05	21%	25 Apr →
overpass	13–11	-0.03	20%	19 Apr →
mirage	10–13	-0.05	6%	19 Apr →
mirage	13–3	0.02	11%	19 Apr →
anubis	11–13	0.01	19%	16 Apr →
mirage	13–8	0.01	16%	16 Apr →
mirage	13–9	-0.03	20%	16 Apr →
inferno	13–3	0.01	27%	10 Jan →
dust2	4–13	-0.11	19%	15 Jul →
nuke	8–13	-0.05	15%	15 Jul →
inferno	10–13	0.01	17%	13 Jul →
anubis	16–14	0.04	25%	7 Jul →
anubis	16–13	-0.01	20%	7 Jul →
mirage	2–13	-0.03	23%	3 Jul →
anubis	19–15	0.05	22%	2 Jul →
dust2	13–10	0.03	14%	1 Jul →
dust2	5–13	-0.02	27%	17 Jun →
inferno	13–7	-0.02	21%	15 Jun →
dust2	10–13	0.02	21%	11 Jun →
anubis	13–7	-0.01	21%	4 Jun →
ancient	7–13	-0.06	30%	26 May →
mirage	13–3	0.03	11%	25 May →
mirage	13–6	0.06	19%	24 May →
ancient	12–16	0.01	7%	24 May →
ancient	13–6	0.04	19%	11 May →
grail	13–5	-0.02	15%	9 May →
grail	12–12	0.10	18%	9 May →
train	13–8	-0.04	16%	8 May →
dust2	9–13	-0.02	30%	8 May →
inferno	13–2	-0.02	15%	4 May →
anubis	5–13	-0.11	26%	4 May →
inferno	16–14	-0.00	18%	3 May →
ancient	13–11	-0.07	12%	3 May →
inferno	13–7	-0.01	12%	3 May →
mirage	13–11	-0.04	18%	3 May →
anubis	5–13	0.01	27%	3 May →
dust2	10–13	-0.05	9%	2 May →
ancient	10–13	0.03	17%	30 Apr →
ancient	4–13	-0.02	36%	30 Apr →
mirage	9–13	-0.01	8%	30 Apr →
mirage	10–13	-0.01	32%	30 Apr →
dust2	10–13	-0.02	29%	29 Apr →
inferno	13–6	-0.04	23%	28 Apr →
mirage	13–16	-0.07	16%	28 Apr →
mirage	13–3	-0.00	34%	28 Apr →
mirage	5–13	0.00	7%	26 Apr →
inferno	16–13	0.00	16%	20 Apr →
mirage	13–10	-0.04	14%	20 Apr →
mirage	13–11	0.01	15%	20 Apr →
anubis	16–14	-0.00	19%	19 Apr →
ancient	13–7	-0.02	15%	19 Apr →
anubis	16–13	0.04	19%	13 Apr →
inferno	13–5	0.04	16%	12 Apr →
mirage	13–11	0.01	11%	12 Apr →
anubis	16–14	-0.02	11%	12 Apr →
ancient	13–5	-0.01	22%	6 Apr →
mirage	16–14	0.06	20%	31 Mar →
ancient	13–5	0.07	22%	31 Mar →
mirage	13–7	0.02	16%	26 Mar →
anubis	13–11	-0.02	13%	26 Mar →
dust2	13–7	-0.01	23%	3 Mar →
inferno	13–16	0.01	31%	3 Mar →
inferno	13–10	0.04	36%	24 Feb →
ancient	9–13	0.03	14%	24 Feb →
anubis	5–13	-0.02	18%	23 Feb →
ancient	16–12	0.03	19%	31 Dec →
ancient	13–2	0.05	18%	31 Dec →
mirage	10–13	-0.08	8%	31 Dec →
mirage	13–7	0.06	25%	26 Dec →
mirage	13–4	0.00	32%	26 Dec →
anubis	16–12	-0.07	18%	25 Dec →
mirage	9–13	0.01	19%	11 Nov →
mirage	9–1	0.02	22%	3 Nov →
anubis	10–13	0.02	26%	3 Nov →
mirage	8–13	-0.06	22%	14 Jul →
mirage	13–4	-0.00	28%	14 Jul →
anubis	4–13	-0.03	26%	15 Jun →
mirage	13–6	0.05	18%	15 Jun →
mirage	13–10	0.14	18%	6 Jun →
ancient	6–13	-0.02	19%	31 May →
ancient	13–3	0.11	20%	28 May →
anubis	13–11	-0.01	17%	28 May →