sabsp — CS2 Stats

76561198013752460[U:1:53486732]

4,858Tracked matches63%Win rate2020Tracked since

CSDB Rating7.1 StrongSupport

FaceitLevel 10 · 2,770 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning52

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLWLLLWWWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim8.7

Aggression3.2

Utility7.8

Positioning5.2

Opening Duels0.5

Clutch3.8

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: higher utility contribution; lower opening-fight frequency.

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 87 — the mechanical foundation is a clear strength.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 41% on CT to 24% 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

Aim8.7

Positioning5.2

Utility7.8

Mechanics7.3

Opening Duels1.3

Win Impact9.4

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time495ms−79ms

first ⅓ avg 574ms → last ⅓ avg 495ms

Headshot accuracy23.9%−0.7%

first ⅓ avg 24.6% → 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

0.19Best rating — inferno 13–7

13–1Biggest win — inferno

6Longest win streak

8–12In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 66% over 29ancientWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	29	19–10	66%	0.03
ancient	D	18	6–12	33%	-0.00
nuke	A	18	10–8	56%	0.02
dust2	B	16	8–8	50%	0.01
cache	C	8	3–5	38%	-0.02
vertigo	B	6	3–3	50%	0.01
anubis	—	4	2–2	50%	0.01
overpass	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,544Matches

52%Win rate

1.26Avg K/D

86.8ADR

50%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	824	57%	1.35	17.4
Ancient	824	52%	1.26	17.8
Nuke	564	56%	1.26	17.7
Anubis	404	50%	1.29	18.5
Dust2	331	48%	1.17	16.8
Vertigo	229	55%	1.40	18.7
Train	149	48%	1.18	16.1
Overpass	134	49%	1.30	17.9

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.

23.7%Headshot accuracy

35.0%Accuracy (enemy spotted)

38.5%Spray accuracy

82.7%Counter-strafing

9.1°Preaim

489msReaction time

23.8%T opening success

40.6%CT opening success

0.76Enemies flashed / flash

14.7%Flash assists

11.63HE damage / grenade

14.74Flashes / 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 23.7523% — 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.

33% win rate across 18 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
vertigo	10–13	-0.07	20%	27 Aug →
anubis	13–11	0.08	28%	27 Aug →
ancient	7–13	-0.06	32%	27 Aug →
nuke	20–22	0.01	25%	25 Aug →
inferno	9–13	-0.03	23%	25 Aug →
vertigo	13–9	0.10	31%	24 Aug →
inferno	13–10	-0.03	26%	24 Aug →
inferno	13–9	0.05	23%	24 Aug →
nuke	13–7	0.05	25%	24 Aug →
inferno	13–10	-0.01	21%	23 Aug →
ancient	13–6	0.01	16%	23 Aug →
dust2	11–13	-0.02	20%	23 Aug →
ancient	13–6	0.05	23%	23 Aug →
dust2	13–11	-0.00	21%	23 Aug →
nuke	13–8	0.05	28%	23 Aug →
ancient	2–13	-0.00	27%	22 Aug →
nuke	13–7	-0.05	24%	22 Aug →
inferno	14–16	0.00	19%	22 Aug →
anubis	20–22	-0.02	14%	22 Aug →
vertigo	13–6	-0.00	25%	22 Aug →
dust2	13–4	-0.03	17%	21 Aug →
inferno	13–4	0.06	31%	21 Aug →
ancient	13–11	0.04	29%	21 Aug →
inferno	13–6	0.03	25%	21 Aug →
dust2	3–13	-0.00	18%	21 Aug →
vertigo	9–13	-0.02	23%	20 Aug →
inferno	13–10	-0.03	31%	20 Aug →
ancient	10–13	0.03	27%	20 Aug →
inferno	13–1	0.06	30%	20 Aug →
dust2	13–6	0.06	22%	20 Aug →
nuke	13–7	0.16	17%	20 Aug →
cache	1–13	-0.08	25%	20 Aug →
dust2	13–7	-0.00	24%	19 Aug →
vertigo	6–13	-0.02	19%	19 Aug →
nuke	11–13	-0.01	22%	16 Aug →
inferno	13–6	0.07	30%	15 Aug →
inferno	13–11	-0.01	17%	14 Aug →
cache	7–13	-0.07	13%	14 Aug →
dust2	13–9	-0.03	20%	13 Aug →
dust2	11–13	0.02	29%	13 Aug →
inferno	8–13	0.04	31%	11 Aug →
ancient	13–9	-0.01	18%	11 Aug →
inferno	6–13	0.01	38%	11 Aug →
vertigo	13–6	0.10	13%	10 Aug →
nuke	9–13	-0.04	21%	10 Aug →
dust2	13–8	0.04	37%	10 Aug →
inferno	13–4	-0.01	16%	10 Aug →
cache	13–10	-0.04	20%	9 Aug →
inferno	14–16	-0.00	15%	9 Aug →
dust2	10–13	0.04	22%	9 Aug →
ancient	13–16	-0.04	17%	9 Aug →
inferno	6–13	0.02	18%	4 Aug →
nuke	12–16	0.01	25%	4 Aug →
cache	13–6	0.05	36%	4 Aug →
nuke	25–21	0.02	23%	30 Jul →
nuke	8–13	-0.03	29%	30 Jul →
ancient	11–13	0.01	23%	30 Jul →
dust2	7–13	-0.00	43%	30 Jul →
ancient	9–13	0.01	15%	30 Jul →
ancient	4–13	-0.04	25%	28 Jul →
cache	8–13	0.03	15%	23 Jul →
dust2	13–10	0.06	20%	23 Jul →
ancient	1–13	-0.10	31%	23 Jul →
nuke	13–10	0.09	31%	23 Jul →
inferno	13–9	0.10	39%	22 Jul →
ancient	1–13	-0.06	26%	21 Jul →
nuke	13–10	0.07	21%	21 Jul →
dust2	16–14	0.04	18%	21 Jul →
ancient	4–13	-0.07	13%	21 Jul →
inferno	13–9	0.04	17%	21 Jul →
dust2	14–16	0.00	24%	18 Jul →
inferno	13–6	0.01	30%	17 Jul →
anubis	13–4	0.04	35%	17 Jul →
inferno	13–9	0.03	20%	17 Jul →
nuke	8–13	0.02	31%	17 Jul →
cache	10–13	-0.04	23%	17 Jul →
inferno	13–8	0.01	20%	16 Jul →
cache	13–16	0.01	26%	16 Jul →
inferno	7–13	-0.00	17%	12 Jul →
inferno	11–13	0.06	31%	12 Jul →
nuke	13–4	0.07	21%	12 Jul →
ancient	13–10	0.00	24%	8 Jul →
cache	13–6	0.01	25%	6 Jul →
dust2	4–13	0.01	26%	6 Jul →
ancient	11–13	0.10	42%	6 Jul →
nuke	7–13	-0.02	32%	5 Jul →
nuke	13–11	0.04	29%	5 Jul →
inferno	13–7	0.19	33%	5 Jul →
ancient	5–13	0.09	24%	4 Jul →
inferno	13–5	0.10	25%	4 Jul →
ancient	13–11	-0.01	17%	4 Jul →
inferno	13–1	0.09	32%	29 Jun →
inferno	5–13	0.03	33%	29 Jun →
inferno	11–13	0.01	19%	29 Jun →
nuke	13–11	-0.01	30%	29 Jun →
inferno	13–7	-0.04	21%	21 Jun →
overpass	13–8	-0.05	21%	21 Jun →
dust2	5–13	-0.05	15%	20 Jun →
anubis	5–13	-0.05	11%	20 Jun →
nuke	3–13	-0.07	27%	20 Jun →