Sasquatch — CS2 Stats

76561197960275369[U:1:9641]✓ No bans

1,299Tracked matches52%Win rate2020Tracked since

5,678Hours in CS3Hrs last 2 wks

CSDB Rating4.9 DevelopingClutch Specialist

Ladder ranks via Leetify

Performance scores

Aim59

Positioning38

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWWLWWLLLT

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.9

Aggression2.3

Utility6.1

Positioning3.8

Opening Duels0.2

Clutch10.0

Strong CT-side openerReliable in 1v1s

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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower aim profile.

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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim5.9

Positioning3.8

Utility6.1

Mechanics5.2

Opening Duels1.3

Win Impact5.6

Composite 4.9/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time569ms−11ms

first ⅓ avg 580ms → last ⅓ avg 569ms

Headshot accuracy15.7%+2.3%

first ⅓ avg 13.4% → last ⅓ avg 15.7%

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

0.23Best rating — inferno 9–3

13–1Biggest win — dust2

7Longest win streak

4–12In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 64% over 14overpassWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	11–8	58%	-0.01
nuke	B	17	8–9	47%	-0.03
ancient	A	16	10–6	63%	-0.02
overpass	D	15	5–10	33%	-0.02
dust2	A	14	9–5	64%	-0.01
cache	C	8	3–5	38%	-0.01
anubis	B	6	3–3	50%	0.02
train	—	3	0–3	0%	-0.03
mirage	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,665Lifetime kills

0.94K/D

2,357Matches

52.4%Match win rate · Top 25% of tracked players

37.6%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

6,028MVPs

3,011Hours (in match)

6,657Bombs planted

1,480Bombs defused

Most-used weapons

AK-4734,770

M4A4 / M4A1-S24,692

AWP9,745

P2507,035

Tec-96,861

P2000 / USP-S5,976

Glock-184,974

MP93,679

MAC-102,376

MAG-72,272

Lifetime map wins

13,144inferno

9,937dust2

6,624train

6,357nuke

4,421cbble

1,088vertigo

375dust

69office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

106Matches

60%Win rate

1.18Avg K/D

92.4ADR

36%Headshot %

Clutches & streaks

86%1v1 clutch win

31%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	5	20%	0.91	14.6
Nuke	4	25%	1.16	14.3
Dust2	4	50%	1.26	13.0
Inferno	3	100%	2.15	18.7
Anubis	2	50%	1.05	16.5
Mirage	2	50%	1.28	17.5
Overpass	1	100%	1.44	23.0
Cache	1	0%	0.29	4.0

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.

15.4%Headshot accuracy

35.0%Accuracy (enemy spotted)

40.9%Spray accuracy

73.2%Counter-strafing

12.2°Preaim

564msReaction time

21.1%T opening success

40.8%CT opening success

0.56Enemies flashed / flash

6.4%Flash assists

10.14HE damage / grenade

9.71Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2472° — above the 12° mark we flag
Aim Training →

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.

33% win rate across 15 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
nuke	5–13	-0.05	9%	18 Aug →
dust2	13–1	0.08	17%	14 Aug →
mirage	13–6	0.10	13%	14 Aug →
cache	1–13	-0.08	22%	13 Aug →
dust2	13–8	0.00	17%	11 Aug →
dust2	13–6	-0.01	10%	11 Aug →
inferno	8–13	-0.06	6%	11 Aug →
dust2	0–13	-0.06	43%	9 Aug →
dust2	5–13	-0.07	14%	9 Aug →
cache	12–12	0.01	20%	7 Jul →
inferno	5–13	-0.02	14%	5 Jul →
dust2	13–3	-0.10	31%	5 Jul →
overpass	1–6	-0.07	0%	5 Jul →
inferno	13–10	-0.02	14%	29 Jun →
inferno	16–13	0.03	15%	23 Jun →
anubis	0–13	-0.04	0%	10 Jun →
overpass	13–7	-0.07	19%	10 Jun →
nuke	7–13	0.01	18%	5 Jun →
ancient	3–13	-0.11	11%	4 Jun →
anubis	11–13	-0.04	8%	4 Jun →
inferno	13–4	-0.03	18%	3 Jun →
nuke	11–13	-0.06	13%	3 Jun →
ancient	13–3	0.08	27%	3 Jun →
nuke	13–5	0.01	16%	2 Jun →
inferno	13–9	-0.00	23%	2 Jun →
overpass	13–7	0.02	13%	2 Jun →
overpass	11–13	-0.02	11%	23 May →
cache	5–13	-0.02	17%	2 May →
cache	13–7	0.02	18%	2 May →
cache	13–3	-0.02	8%	1 May →
cache	12–12	-0.03	20%	1 May →
cache	13–4	0.06	15%	30 Apr →
cache	3–13	0.01	21%	29 Apr →
ancient	10–13	-0.05	16%	10 Apr →
dust2	13–2	0.04	18%	8 Apr →
dust2	13–7	0.02	21%	5 Apr →
nuke	13–9	-0.05	8%	5 Apr →
overpass	13–2	0.00	21%	5 Apr →
ancient	3–13	-0.01	10%	5 Apr →
inferno	13–10	0.01	19%	4 Apr →
ancient	13–8	-0.03	24%	4 Apr →
nuke	13–9	-0.03	16%	4 Apr →
anubis	13–3	0.01	22%	4 Apr →
dust2	14–16	-0.03	13%	3 Apr →
overpass	8–13	-0.04	13%	3 Apr →
nuke	13–10	0.08	19%	3 Apr →
inferno	13–5	-0.02	30%	3 Apr →
overpass	11–13	-0.04	20%	3 Apr →
overpass	6–13	-0.03	10%	1 Apr →
nuke	11–13	-0.02	18%	1 Apr →
anubis	13–3	0.07	13%	1 Apr →
anubis	3–13	-0.02	29%	18 Mar →
inferno	11–13	-0.03	21%	18 Mar →
ancient	13–9	-0.08	13%	17 Mar →
ancient	10–13	0.03	11%	14 Mar →
nuke	5–13	-0.03	18%	14 Mar →
nuke	3–13	-0.08	11%	13 Mar →
ancient	13–4	-0.07	4%	13 Mar →
overpass	15–15	-0.03	12%	13 Mar →
inferno	9–13	-0.05	16%	12 Mar →
dust2	13–9	-0.04	18%	12 Mar →
inferno	8–13	-0.05	11%	7 Mar →
ancient	13–3	0.00	10%	7 Mar →
anubis	13–7	0.13	15%	7 Mar →
overpass	13–2	0.06	19%	7 Mar →
inferno	13–10	-0.02	16%	6 Mar →
nuke	13–3	-0.04	10%	6 Mar →
ancient	16–14	-0.04	4%	22 Jan →
dust2	13–3	0.01	9%	22 Jan →
inferno	14–16	-0.01	10%	17 Jan →
inferno	13–3	0.04	21%	15 Jan →
dust2	11–13	-0.04	21%	15 Jan →
inferno	9–3	0.23	16%	14 Jan →
nuke	14–16	-0.05	10%	14 Jan →
ancient	9–13	0.00	11%	10 Jan →
nuke	16–12	-0.05	5%	10 Jan →
inferno	13–8	-0.01	18%	28 Dec →
inferno	6–13	-0.05	12%	28 Dec →
nuke	7–13	-0.07	17%	28 Dec →
train	10–13	-0.04	10%	27 Dec →
nuke	13–5	0.02	16%	27 Dec →
overpass	8–13	-0.01	12%	27 Dec →
mirage	13–3	0.01	15%	27 Dec →
nuke	8–13	-0.04	18%	27 Dec →
dust2	10–13	0.02	17%	27 Dec →
train	10–13	-0.02	15%	27 Dec →
ancient	12–16	-0.07	19%	27 Dec →
overpass	11–13	-0.03	10%	26 Dec →
ancient	13–7	-0.02	11%	26 Dec →
overpass	6–13	-0.05	7%	26 Dec →
train	14–16	-0.02	13%	25 Dec →
inferno	13–11	-0.03	14%	25 Dec →
ancient	16–14	-0.06	18%	25 Dec →
overpass	16–14	-0.02	16%	25 Dec →
ancient	13–4	0.00	9%	25 Dec →
nuke	13–7	-0.04	7%	25 Dec →
overpass	3–13	-0.00	8%	25 Dec →
inferno	4–13	-0.07	16%	24 Dec →
ancient	5–0	0.12	25%	24 Dec →
dust2	13–6	-0.00	13%	24 Dec →