Shaff — CS2 Stats

76561198110318254[U:1:150052526]Steam profile ↗✓ No bans

2,233Tracked matches59%Win rate2020Tracked since

CSDB Rating5.5 SolidSupport

Premier CS Rating17,317Purple band · top ~19.2% of ranked players (population est.)

CSDB Leaderboard#15105 of 27668 tracked

FaceitLevel 7 · 1,497 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning27

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWLTLWLWLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.4

Aggression1.4

Utility7.1

Positioning2.7

Opening Duels0.0

Clutch4.2

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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Reaction time. 588ms 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

Aim6.4

Positioning2.7

Utility7.1

Mechanics8.1

Opening Duels0.0

Win Impact7.9

Composite 5.5/10 (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-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time605ms−18ms

first ⅓ avg 623ms → last ⅓ avg 605ms

Headshot accuracy13.7%+0.4%

first ⅓ avg 13.3% → last ⅓ avg 13.7%

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

0.18Best rating — inferno 9–1

13–1Biggest win — dust2

7Longest win streak

11–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 53% over 15cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	15–17	47%	-0.03
dust2	B	15	7–8	47%	-0.04
nuke	B	15	8–7	53%	-0.04
overpass	C	10	4–6	40%	-0.05
cache	D	9	3–6	33%	-0.03
vertigo	B	6	3–3	50%	-0.03
mirage	C	5	2–3	40%	-0.06
anubis	C	5	2–3	40%	-0.02
ancient	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

403Matches

52%Win rate

0.80Avg K/D

69.1ADR

35%Headshot %

Clutches & streaks

41%1v1 clutch win

10%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	30	57%	0.83	11.9
Vertigo	22	59%	0.86	13.4
Anubis	12	42%	0.81	12.7
Ancient	8	38%	0.85	11.3
Mirage	8	38%	0.56	10.9
Nuke	8	62%	0.62	9.8
Dust2	5	60%	0.68	9.6
Train	3	33%	0.83	9.3

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.

14.2%Headshot accuracy

32.0%Accuracy (enemy spotted)

33.2%Spray accuracy

86.6%Counter-strafing

9.3°Preaim

588msReaction time

22.3%T opening success

22.1%CT opening success

0.67Enemies flashed / flash

5.6%Flash assists

13.40HE damage / grenade

15.48Flashes / 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 14.2211% — below the 15% mark we flag
Aim Training →
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 22.2563% — below the 40% mark we flag

Spend your practice time on Cache

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 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	-0.03	9%	2 Aug →
dust2	2–13	-0.09	5%	2 Aug →
inferno	12–12	-0.03	16%	31 Jul →
overpass	1–9	-0.22	8%	30 Jul →
inferno	9–1	0.18	12%	30 Jul →
nuke	9–13	-0.02	18%	27 Jul →
inferno	13–7	-0.02	6%	25 Jul →
cache	6–13	-0.08	0%	25 Jul →
nuke	13–7	-0.06	12%	25 Jul →
mirage	2–13	-0.10	25%	25 Jul →
inferno	13–11	-0.03	20%	25 Jul →
inferno	13–3	-0.03	7%	25 Jul →
anubis	7–13	-0.07	18%	25 Jul →
mirage	7–13	-0.07	13%	25 Jul →
nuke	13–3	-0.06	22%	25 Jul →
cache	9–13	0.02	24%	25 Jul →
mirage	13–11	-0.07	11%	24 Jul →
dust2	13–1	-0.00	12%	24 Jul →
cache	13–9	0.03	28%	24 Jul →
nuke	8–13	-0.06	13%	24 Jul →
dust2	11–13	-0.06	15%	24 Jul →
dust2	13–11	-0.02	12%	24 Jul →
mirage	13–4	0.01	7%	23 Jul →
cache	5–13	-0.02	34%	23 Jul →
inferno	13–8	0.01	16%	23 Jul →
nuke	16–12	-0.03	17%	21 Jul →
cache	11–13	-0.06	12%	21 Jul →
inferno	8–13	-0.07	7%	21 Jul →
anubis	13–11	0.01	15%	21 Jul →
cache	13–6	-0.00	8%	21 Jul →
inferno	13–6	-0.02	8%	13 Jul →
dust2	13–7	0.01	14%	13 Jul →
nuke	13–9	-0.07	9%	13 Jul →
inferno	13–4	-0.06	13%	13 Jul →
dust2	13–2	-0.04	16%	13 Jul →
dust2	8–13	-0.08	8%	13 Jul →
inferno	3–13	-0.02	23%	12 Jul →
nuke	16–14	-0.05	10%	12 Jul →
inferno	6–13	-0.10	10%	11 Jul →
nuke	11–13	-0.08	11%	11 Jul →
inferno	7–13	-0.05	23%	11 Jul →
inferno	9–2	0.05	3%	5 Jul →
inferno	7–13	0.00	9%	5 Jul →
overpass	11–13	-0.03	18%	5 Jul →
overpass	8–13	0.00	14%	3 Jul →
inferno	5–13	-0.04	17%	3 Jul →
anubis	13–9	-0.04	6%	23 Jun →
ancient	13–8	-0.02	19%	23 Jun →
inferno	13–10	-0.00	4%	23 Jun →
inferno	13–6	-0.05	17%	19 Jun →
vertigo	12–12	-0.02	21%	19 Jun →
inferno	8–13	-0.07	22%	18 Jun →
cache	2–13	-0.08	8%	18 Jun →
ancient	6–13	-0.05	25%	10 Jun →
dust2	11–13	-0.10	21%	10 Jun →
inferno	8–13	-0.07	14%	10 Jun →
nuke	8–13	-0.05	13%	7 Jun →
inferno	4–13	-0.08	19%	7 Jun →
nuke	13–10	0.04	4%	6 Jun →
ancient	15–15	-0.04	11%	6 Jun →
dust2	13–11	-0.04	11%	6 Jun →
inferno	15–15	0.01	10%	4 Jun →
inferno	5–13	-0.04	7%	4 Jun →
cache	13–9	-0.09	3%	2 Jun →
overpass	13–11	-0.01	3%	1 Jun →
inferno	10–13	-0.07	3%	1 Jun →
inferno	13–4	-0.04	16%	1 Jun →
vertigo	13–10	-0.06	7%	1 Jun →
nuke	7–13	-0.03	16%	31 May →
inferno	7–13	-0.06	7%	31 May →
inferno	13–6	0.05	11%	31 May →
anubis	11–13	0.03	14%	27 May →
vertigo	11–13	-0.11	7%	27 May →
nuke	9–13	-0.01	17%	24 May →
inferno	4–13	-0.01	19%	24 May →
vertigo	6–13	0.03	20%	22 May →
overpass	4–13	-0.05	11%	22 May →
inferno	5–13	-0.08	9%	22 May →
overpass	5–13	-0.05	20%	22 May →
mirage	5–13	-0.05	7%	20 May →
dust2	8–13	-0.04	7%	20 May →
dust2	5–13	-0.04	8%	20 May →
overpass	7–13	-0.07	18%	18 May →
dust2	13–10	-0.06	13%	18 May →
overpass	13–10	-0.06	12%	18 May →
dust2	4–13	-0.03	19%	18 May →
nuke	13–6	-0.04	10%	18 May →
overpass	13–4	-0.02	19%	15 May →
vertigo	13–11	-0.04	21%	15 May →
nuke	13–10	-0.04	13%	13 May →
overpass	13–11	-0.03	20%	13 May →
inferno	13–11	-0.05	12%	13 May →
anubis	3–13	-0.06	22%	12 May →
dust2	13–8	-0.03	9%	12 May →
nuke	7–13	-0.07	14%	12 May →
cache	12–12	0.02	23%	12 May →
inferno	11–13	-0.06	20%	12 May →
inferno	5–2	-0.04	0%	12 May →
vertigo	13–11	0.00	10%	12 May →
dust2	8–13	-0.01	6%	9 May →