spaz — CS2 Stats

76561197964755700[U:1:4489972]Steam profile ↗✓ No bans

741Tracked matches45%Win rate2020Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning55

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLWLLLTLWWW

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.

Aim6.9

Aggression6.5

Utility3.4

Positioning5.5

Opening Duels1.3

Clutch4.8

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 86% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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

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

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

Aim6.9

Positioning5.5

Utility3.4

Mechanics7.7

Opening Duels1.3

Win Impact3.3

Composite 5.3/10 (Developing), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time616ms+6ms

first ⅓ avg 609ms → last ⅓ avg 616ms

Headshot accuracy20.8%+0.3%

first ⅓ avg 20.5% → last ⅓ avg 20.8%

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

0.26Best rating — inferno 13–4

13–0Biggest win — dust2

6Longest win streak

11–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 62% over 21mirageWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	10–11	48%	0.01
inferno	A	21	13–8	62%	0.03
mirage	D	17	5–12	29%	-0.01
vertigo	B	15	8–7	53%	0.01
ancient	C	14	6–8	43%	0.00
anubis	C	5	2–3	40%	-0.02
nuke	—	3	1–2	33%	0.00
overpass	—	2	0–2	0%	0.04
train	—	1	0–1	0%	-0.05
mills	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

882Matches

49%Win rate

1.07Avg K/D

73.8ADR

44%Headshot %

Clutches & streaks

44%1v1 clutch win

26%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	51	53%	1.12	15.4
Inferno	38	47%	0.98	15.1
Vertigo	35	40%	1.06	16.1
Ancient	28	43%	0.84	12.9
Mirage	27	41%	0.97	15.0
Anubis	15	20%	0.92	13.9
Nuke	3	33%	1.00	15.0

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.

21.4%Headshot accuracy

30.9%Accuracy (enemy spotted)

31.6%Spray accuracy

84.4%Counter-strafing

8.5°Preaim

620msReaction time

32.2%T opening success

38.4%CT opening success

0.62Enemies flashed / flash

4.0%Flash assists

11.38HE damage / grenade

10.20Flashes / 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 32.2238% — 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.

29% win rate across 17 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
dust2	9–13	0.02	26%	1 Apr →
mirage	13–1	0.05	24%	19 Feb →
overpass	7–13	0.03	20%	19 Jan →
nuke	0–13	0.00	29%	26 Dec →
overpass	4–13	0.04	21%	26 Dec →
mirage	12–12	-0.03	22%	25 Dec →
dust2	5–13	0.05	21%	25 Dec →
nuke	13–6	0.03	14%	25 Dec →
inferno	13–4	0.03	21%	25 Dec →
ancient	13–11	0.03	27%	25 Dec →
train	7–13	-0.05	9%	25 Dec →
mirage	13–10	-0.07	18%	25 Dec →
dust2	4–13	0.03	27%	30 Apr →
dust2	13–0	0.03	14%	25 Apr →
inferno	13–5	0.03	31%	6 Apr →
mirage	13–4	0.03	7%	6 Apr →
inferno	16–14	0.06	23%	7 Oct →
ancient	13–8	0.06	24%	6 Oct →
vertigo	13–11	0.04	37%	2 Oct →
dust2	10–13	-0.03	16%	27 Sept →
vertigo	9–13	0.01	31%	23 Sept →
dust2	10–13	-0.01	23%	22 Sept →
vertigo	19–22	0.01	21%	22 Sept →
vertigo	7–13	-0.09	10%	21 Sept →
mirage	9–13	-0.00	24%	19 Sept →
inferno	13–7	0.01	14%	15 Sept →
mirage	7–13	-0.02	15%	15 Sept →
inferno	10–13	0.01	36%	14 Sept →
anubis	13–16	-0.08	18%	14 Sept →
dust2	13–7	-0.06	12%	14 Sept →
inferno	11–13	0.12	23%	13 Sept →
dust2	12–12	0.00	12%	11 Sept →
inferno	13–11	-0.01	18%	10 Sept →
dust2	10–1	0.09	30%	10 Sept →
dust2	7–13	-0.09	20%	10 Sept →
vertigo	7–13	-0.02	18%	10 Sept →
vertigo	11–13	-0.00	13%	5 Sept →
dust2	10–13	0.01	13%	3 Sept →
inferno	12–16	-0.02	10%	2 Sept →
vertigo	11–13	0.01	21%	31 Aug →
inferno	13–6	0.00	13%	29 Aug →
ancient	8–13	-0.08	11%	29 Aug →
mirage	7–13	-0.06	15%	27 Aug →
anubis	13–4	0.02	23%	26 Aug →
mirage	8–13	-0.04	30%	25 Aug →
dust2	13–9	0.03	20%	25 Aug →
ancient	13–10	0.03	10%	25 Aug →
vertigo	7–13	-0.00	27%	25 Aug →
mirage	5–13	-0.03	27%	25 Aug →
inferno	13–7	0.00	20%	23 Aug →
ancient	0–2	0.00	100%	23 Aug →
anubis	9–13	-0.07	10%	22 Aug →
mirage	11–13	0.09	13%	22 Aug →
vertigo	13–11	0.03	15%	19 Aug →
dust2	13–7	0.00	15%	18 Aug →
inferno	7–13	-0.03	16%	18 Aug →
ancient	6–13	-0.09	16%	18 Aug →
inferno	6–13	-0.03	26%	17 Aug →
mirage	5–13	-0.06	23%	17 Aug →
inferno	13–11	-0.01	32%	16 Aug →
ancient	6–13	-0.01	20%	15 Aug →
mirage	2–13	-0.08	19%	15 Aug →
mirage	16–14	-0.00	9%	13 Aug →
nuke	10–13	-0.03	22%	12 Aug →
vertigo	13–3	0.02	16%	12 Aug →
inferno	13–8	-0.03	13%	12 Aug →
dust2	10–13	0.02	24%	11 Aug →
anubis	4–13	-0.00	14%	11 Aug →
inferno	11–13	0.14	17%	11 Aug →
inferno	13–9	0.06	25%	10 Aug →
dust2	13–8	0.12	29%	10 Aug →
vertigo	13–7	0.06	20%	9 Aug →
ancient	13–11	0.05	12%	8 Aug →
mirage	16–12	-0.00	22%	7 Aug →
dust2	16–14	0.04	31%	7 Aug →
mirage	15–15	-0.02	17%	3 Aug →
dust2	13–9	0.01	28%	3 Aug →
ancient	15–15	0.00	15%	28 Jul →
mills	9–13	0.08	21%	27 Jul →
mirage	10–13	-0.03	10%	27 Jul →
ancient	8–13	-0.08	10%	27 Jul →
dust2	12–12	0.02	33%	27 Jul →
vertigo	16–14	-0.01	13%	26 Jul →
vertigo	13–5	-0.07	9%	25 Jul →
dust2	13–11	0.00	45%	23 Jul →
inferno	6–13	-0.02	22%	22 Jul →
inferno	16–12	-0.01	9%	22 Jul →
dust2	13–0	0.04	16%	21 Jul →
inferno	13–9	-0.01	13%	21 Jul →
ancient	6–13	-0.02	24%	20 Jul →
ancient	13–6	0.07	15%	18 Jul →
inferno	3–13	0.07	27%	15 Jul →
vertigo	13–6	-0.02	18%	14 Jul →
dust2	8–13	-0.02	25%	14 Jul →
mirage	11–13	0.07	29%	14 Jul →
inferno	13–4	0.26	24%	14 Jul →
vertigo	13–8	0.19	25%	13 Jul →
ancient	13–8	0.14	23%	13 Jul →
anubis	13–8	0.02	19%	13 Jul →
ancient	8–13	-0.05	20%	11 Jul →