Scotty — CS2 Stats

IE76561198350292685[U:1:390026957]Steam profile ↗✓ No bans

1,356Tracked matches58%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating18,766Purple band · top ~13.4% of ranked players (population est.)

CSDB Leaderboard#25586 of 57308 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning59

Utility34

0–100 skill scores via Leetify.

Recent form

COLD48–45–7Last 10048%Win rateTWWTLLWLLT

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

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

Aim7.7

Aggression9.6

Utility3.4

Positioning5.9

Opening Duels4.0

Clutch4.0

Limited utility dependence

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 device 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 596ms 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

Aim7.7

Positioning5.9

Utility3.4

Mechanics6.9

Opening Duels4.0

Win Impact7.6

Composite 6.2/10 (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 rating0.03+0.03

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time604ms−22ms

first ⅓ avg 625ms → last ⅓ avg 604ms

Headshot accuracy17.5%−1.6%

first ⅓ avg 19.1% → last ⅓ avg 17.5%

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

0.24Best rating — nuke 13–9

13–1Biggest win — cache

5Longest win streak

5–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 67% over 9overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	20	10–10	50%	0.03
cache	B	17	9–8	53%	0.01
inferno	A	16	9–7	56%	0.01
dust2	D	12	4–8	33%	0.01
ancient	C	12	5–7	42%	-0.03
nuke	S	9	6–3	67%	0.05
overpass	D	5	1–4	20%	-0.01
anubis	—	4	1–3	25%	0.01
office	—	3	1–2	33%	0.02
train	—	1	1–0	100%	0.06
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

475Matches

50%Win rate

1.19Avg K/D

86.7ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	96	50%	1.23	17.2
Inferno	55	55%	1.15	18.1
Ancient	41	56%	1.06	15.2
Cache	36	39%	0.96	16.2
Dust2	33	61%	1.21	18.7
Nuke	28	54%	1.30	18.5
Anubis	27	44%	1.17	18.7
Overpass	9	44%	1.54	18.8

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.

18.1%Headshot accuracy

39.0%Accuracy (enemy spotted)

41.5%Spray accuracy

81.1%Counter-strafing

10.4°Preaim

596msReaction time

50.1%T opening success

42.3%CT opening success

0.50Enemies flashed / flash

1.3%Flash assists

12.39HE damage / grenade

2.02Flashes / 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 0.4962 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	0.07	20%	30 Aug →
mirage	11–4	0.07	23%	30 Aug →
mirage	13–9	0.06	9%	29 Aug →
anubis	15–15	-0.03	10%	29 Aug →
mirage	4–13	0.04	13%	28 Aug →
dust2	14–16	0.04	18%	27 Aug →
nuke	16–14	0.05	28%	27 Aug →
cache	7–13	0.05	16%	26 Aug →
anubis	8–13	0.17	11%	26 Aug →
inferno	12–12	0.14	22%	26 Aug →
inferno	12–12	0.11	31%	24 Aug →
overpass	2–13	0.01	22%	23 Aug →
nuke	8–13	0.06	15%	23 Aug →
mirage	13–10	0.15	14%	23 Aug →
train	13–6	0.06	24%	22 Aug →
inferno	13–11	-0.01	10%	20 Aug →
cache	16–13	0.05	17%	4 Aug →
mirage	5–13	-0.09	16%	4 Aug →
inferno	6–13	-0.09	10%	3 Aug →
ancient	13–4	-0.01	20%	3 Aug →
inferno	13–4	0.03	27%	3 Aug →
dust2	9–13	-0.02	15%	3 Aug →
ancient	13–9	-0.11	6%	3 Aug →
nuke	13–10	-0.00	17%	3 Aug →
dust2	13–6	0.05	26%	3 Aug →
inferno	4–13	-0.03	21%	3 Aug →
dust2	13–10	0.01	24%	3 Aug →
mirage	16–13	0.02	22%	3 Aug →
mirage	9–13	0.07	14%	18 Jul →
mirage	13–4	0.24	27%	18 Jul →
cache	6–13	-0.03	6%	13 Jul →
ancient	6–13	-0.05	8%	13 Jul →
mirage	10–13	0.03	17%	12 Jul →
dust2	16–13	-0.01	16%	12 Jul →
mirage	13–3	0.02	11%	11 Jul →
dust2	1–13	-0.03	14%	4 Jul →
overpass	9–13	-0.01	12%	4 Jul →
inferno	5–13	-0.04	8%	4 Jul →
ancient	8–13	-0.06	10%	4 Jul →
nuke	11–13	0.06	17%	4 Jul →
mirage	6–13	0.07	14%	1 Jul →
ancient	13–8	0.01	14%	26 Jun →
ancient	1–9	-0.01	0%	26 Jun →
dust2	7–13	0.01	30%	20 Jun →
nuke	13–9	0.24	19%	20 Jun →
overpass	12–16	0.04	12%	11 Jun →
cache	19–17	-0.01	20%	3 Jun →
mirage	13–8	0.04	17%	3 Jun →
mirage	13–10	-0.02	15%	29 May →
ancient	3–13	-0.05	20%	29 May →
inferno	8–13	-0.05	14%	28 May →
inferno	13–6	0.01	18%	27 May →
mirage	14–16	0.01	18%	26 May →
overpass	9–13	-0.04	31%	26 May →
dust2	16–12	-0.03	9%	24 May →
inferno	13–4	0.01	10%	24 May →
anubis	6–13	-0.05	11%	24 May →
ancient	12–16	-0.03	15%	22 May →
nuke	13–5	0.04	10%	22 May →
mirage	1–13	-0.07	13%	22 May →
vertigo	13–6	0.03	21%	21 May →
cache	8–13	-0.00	18%	21 May →
nuke	13–11	0.00	27%	21 May →
mirage	13–7	-0.03	10%	17 May →
dust2	15–15	-0.02	13%	17 May →
mirage	5–13	-0.06	21%	17 May →
cache	13–9	-0.04	6%	16 May →
office	13–9	-0.02	30%	15 May →
office	7–13	-0.00	27%	15 May →
office	5–13	0.07	24%	15 May →
cache	7–13	-0.08	7%	15 May →
mirage	14–16	-0.03	16%	13 May →
overpass	13–7	-0.04	17%	13 May →
cache	4–13	0.01	10%	13 May →
dust2	4–13	-0.00	33%	11 May →
inferno	10–13	0.11	19%	11 May →
ancient	6–13	-0.02	28%	10 May →
inferno	13–10	-0.05	3%	9 May →
cache	12–12	0.12	20%	9 May →
inferno	13–8	-0.03	14%	9 May →
dust2	7–13	0.04	31%	9 May →
mirage	13–7	0.01	20%	8 May →
nuke	6–13	-0.06	10%	8 May →
anubis	13–5	-0.04	25%	8 May →
mirage	4–13	0.04	13%	7 May →
cache	13–9	-0.01	5%	6 May →
inferno	13–10	0.03	15%	6 May →
ancient	15–15	-0.02	11%	5 May →
cache	13–1	0.03	19%	5 May →
ancient	13–11	-0.05	13%	4 May →
cache	8–13	-0.04	18%	4 May →
inferno	13–6	0.03	29%	3 May →
cache	13–10	0.01	30%	3 May →
ancient	16–13	-0.01	23%	2 May →
cache	13–7	0.02	35%	1 May →
nuke	13–4	0.03	18%	30 Apr →
cache	11–13	0.05	13%	30 Apr →
inferno	13–9	-0.04	17%	29 Apr →
cache	13–7	-0.03	15%	29 Apr →
cache	13–4	0.03	22%	29 Apr →