ZephyrBit — CS2 Stats

76561198039280129[U:1:79014401]

1,595Tracked matches62%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning61

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY61–33–6Last 10061%Win rateLTLLWWLWWW

Last 10 vs previous 10: -30pp win rate · +0.04 avg rating

Player DNA

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

Aim7.4

Aggression7.3

Utility4.2

Positioning6.1

Opening Duels2.2

Clutch6.0

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 ropz 88% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; lower 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

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. 590ms 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

Aim7.4

Positioning6.1

Utility4.2

Mechanics7.3

Opening Duels2.2

Win Impact9.0

Composite 6.3/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time598ms−32ms

first ⅓ avg 630ms → last ⅓ avg 598ms

Headshot accuracy24.9%+3.4%

first ⅓ avg 21.5% → last ⅓ avg 24.9%

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

0.20Best rating — inferno 2–0

13–0Biggest win — mirage

6Longest win streak

7–7In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 77% over 13anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	-0.01
dust2	S	19	13–6	68%	0.02
ancient	S	13	10–3	77%	0.01
inferno	A	12	7–5	58%	0.03
cache	A	11	7–4	64%	-0.02
nuke	C	7	3–4	43%	0.01
anubis	C	5	2–3	40%	-0.04
train	—	4	4–0	100%	0.00
overpass	—	3	2–1	67%	-0.02
boulder	—	1	1–0	100%	-0.05
alpine	—	1	1–0	100%	-0.00
vertigo	—	1	1–0	100%	0.15

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

599Matches

56%Win rate

1.10Avg K/D

69.0ADR

52%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

19Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	23	57%	1.00	13.9
Ancient	17	59%	1.13	13.5
Mirage	16	44%	1.01	13.7
Vertigo	9	56%	1.09	13.2
Overpass	7	57%	0.99	14.7
Nuke	6	50%	0.96	15.8
Dust2	4	75%	0.93	14.0
Inferno	3	33%	1.15	16.7

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.

22.6%Headshot accuracy

35.5%Accuracy (enemy spotted)

36.8%Spray accuracy

82.6%Counter-strafing

11.2°Preaim

590msReaction time

46.3%T opening success

31.5%CT opening success

0.43Enemies flashed / flash

3.1%Flash assists

9.77HE damage / grenade

5.85Flashes / 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 0.4348 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 31.5492% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	9–13	-0.07	19%	17 Aug →
mirage	12–12	-0.01	14%	17 Aug →
nuke	10–13	-0.04	32%	17 Aug →
dust2	9–13	-0.05	22%	17 Aug →
train	13–6	0.06	27%	17 Aug →
dust2	13–3	0.06	21%	16 Aug →
nuke	8–13	0.01	22%	15 Aug →
ancient	8–1	0.04	38%	15 Aug →
ancient	13–1	0.08	31%	15 Aug →
inferno	2–0	0.20	67%	15 Aug →
cache	8–1	-0.02	15%	15 Aug →
dust2	13–6	-0.05	22%	15 Aug →
ancient	13–7	-0.04	23%	15 Aug →
mirage	10–13	0.02	31%	15 Aug →
train	13–8	-0.05	29%	15 Aug →
dust2	13–2	0.03	38%	15 Aug →
mirage	13–10	-0.01	19%	8 Aug →
cache	13–11	0.06	27%	8 Aug →
mirage	10–13	-0.05	15%	8 Aug →
ancient	13–1	-0.01	18%	8 Aug →
dust2	1–13	0.02	25%	8 Aug →
inferno	13–10	0.12	23%	8 Aug →
inferno	9–13	0.01	14%	5 Aug →
dust2	13–4	0.07	29%	5 Aug →
mirage	9–13	-0.08	25%	5 Aug →
ancient	13–4	0.05	21%	2 Aug →
mirage	13–11	-0.03	15%	1 Aug →
dust2	6–13	-0.02	21%	1 Aug →
inferno	11–13	0.04	12%	30 Jul →
nuke	13–7	-0.03	17%	30 Jul →
mirage	13–5	0.03	21%	30 Jul →
dust2	11–4	0.01	37%	30 Jul →
inferno	11–13	-0.02	31%	29 Jul →
mirage	12–12	-0.02	37%	29 Jul →
ancient	12–12	0.06	28%	28 Jul →
cache	13–5	-0.00	41%	23 Jul →
dust2	13–4	0.05	23%	23 Jul →
mirage	13–5	0.01	13%	23 Jul →
dust2	8–13	0.05	6%	21 Jul →
anubis	13–5	-0.02	41%	17 Jul →
mirage	5–13	-0.02	29%	17 Jul →
cache	13–7	-0.04	20%	17 Jul →
ancient	11–13	-0.04	20%	17 Jul →
dust2	13–7	-0.01	28%	17 Jul →
nuke	13–8	0.05	31%	16 Jul →
mirage	13–9	-0.02	26%	16 Jul →
dust2	13–6	0.01	17%	16 Jul →
ancient	12–12	0.01	13%	16 Jul →
cache	9–6	-0.05	47%	14 Jul →
mirage	9–13	-0.03	18%	14 Jul →
nuke	13–6	0.07	32%	14 Jul →
inferno	11–13	-0.02	13%	14 Jul →
dust2	13–3	0.05	13%	14 Jul →
inferno	13–7	0.02	23%	13 Jul →
ancient	13–8	0.05	25%	13 Jul →
train	13–1	0.04	30%	13 Jul →
boulder	13–4	-0.05	23%	13 Jul →
dust2	11–13	-0.01	25%	13 Jul →
mirage	13–11	-0.02	16%	13 Jul →
mirage	5–13	-0.05	24%	9 Jul →
mirage	12–12	-0.06	14%	4 Jul →
dust2	13–6	0.04	38%	4 Jul →
ancient	13–10	0.07	27%	4 Jul →
alpine	13–2	-0.00	23%	4 Jul →
mirage	13–4	0.03	40%	4 Jul →
dust2	13–5	0.02	26%	4 Jul →
ancient	13–2	-0.01	12%	4 Jul →
cache	5–13	-0.05	15%	4 Jul →
inferno	13–1	0.02	32%	3 Jul →
mirage	13–4	-0.03	22%	2 Jul →
cache	8–13	-0.01	32%	2 Jul →
nuke	7–13	0.02	28%	29 Jun →
mirage	13–11	0.01	20%	29 Jun →
inferno	5–13	0.00	34%	29 Jun →
cache	8–13	-0.05	19%	29 Jun →
dust2	13–9	0.10	25%	29 Jun →
overpass	3–13	-0.08	9%	29 Jun →
mirage	10–13	-0.00	16%	28 Jun →
anubis	7–13	-0.07	9%	22 Jun →
ancient	13–7	-0.09	7%	22 Jun →
cache	13–3	0.03	15%	22 Jun →
mirage	3–2	0.12	11%	21 Jun →
cache	13–5	-0.04	13%	21 Jun →
anubis	13–10	-0.01	16%	21 Jun →
inferno	13–9	-0.00	20%	21 Jun →
vertigo	13–1	0.15	20%	21 Jun →
ancient	13–8	0.01	23%	20 Jun →
anubis	12–12	-0.05	28%	17 Jun →
cache	7–13	-0.07	12%	17 Jun →
train	13–11	-0.04	23%	17 Jun →
overpass	13–4	0.01	28%	14 Jun →
dust2	11–13	-0.05	19%	14 Jun →
inferno	13–10	-0.03	34%	14 Jun →
mirage	13–0	0.01	31%	14 Jun →
inferno	13–11	-0.02	23%	11 Jun →
nuke	7–13	0.01	19%	11 Jun →
mirage	10–13	0.06	36%	11 Jun →
dust2	13–5	0.03	20%	11 Jun →
overpass	13–8	0.02	32%	10 Jun →
mirage	4–13	-0.03	20%	10 Jun →