Sitchy — CS2 Stats

US76561198089755503[U:1:129489775]Steam profile ↗✓ No bans

1,288Tracked matches60%Win rate2020Tracked since

2,520Hours in CS7Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

FaceitLevel 8 · 1,545 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning59

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLWLLLWLWW

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.2

Aggression8.0

Utility5.6

Positioning5.9

Opening Duels4.0

Clutch2.6

Strong CT-side opener

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 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim6.2

Positioning5.9

Utility5.6

Mechanics6.3

Opening Duels4.0

Win Impact8.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time606ms−46ms

first ⅓ avg 651ms → last ⅓ avg 606ms

Headshot accuracy19.6%−2.5%

first ⅓ avg 22.1% → last ⅓ avg 19.6%

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

0.14Best rating — inferno 7–13

13–2Biggest win — inferno

6Longest win streak

L2Current streak

11–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 73% over 15cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	18	8–10	44%	0.02
nuke	A	18	11–7	61%	0.02
mirage	D	15	5–10	33%	-0.01
ancient	S	15	11–4	73%	0.01
anubis	B	11	5–6	45%	-0.00
dust2	B	8	4–4	50%	-0.01
cache	D	5	1–4	20%	-0.03
overpass	D	5	1–4	20%	0.00
train	—	4	3–1	75%	0.01
vertigo	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Lifetime stats

55,278Lifetime kills

0.89K/D

2,121Matches

45.1%Match win rate

46.0%Headshot %

12.0%Shot accuracy

4,944MVPs

1,388Hours (in match)

3,829Bombs planted

842Bombs defused

Most-used weapons

AK-4718,902

M4A4 / M4A1-S10,775

P2000 / USP-S3,243

Desert Eagle2,750

AWP2,661

Glock-182,580

FAMAS1,872

P2501,637

Knife1,608

Galil AR1,178

Lifetime map wins

6,971inferno

3,687nuke

1,905dust2

1,726train

800vertigo

213cbble

25office

22aztec

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

Faceit stats

Combat

963Matches

50%Win rate

1.03Avg K/D

79.2ADR

54%Headshot %

Clutches & streaks

33%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	139	55%	1.03	15.5
Inferno	138	48%	1.03	15.1
Mirage	123	51%	0.99	15.3
Anubis	113	47%	1.02	15.4
Nuke	103	58%	1.08	16.7
Train	40	60%	1.09	17.3
Vertigo	33	52%	1.14	17.0
Dust2	32	34%	0.83	13.0

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.

19.1%Headshot accuracy

30.8%Accuracy (enemy spotted)

31.8%Spray accuracy

78.5%Counter-strafing

8.7°Preaim

608msReaction time

31.2%T opening success

60.6%CT opening success

0.50Enemies flashed / flash

6.5%Flash assists

14.53HE damage / grenade

8.43Flashes / 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 0.4967 — below the 0.5 mark we flag
Grenade Lineups →
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 31.1994% — 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.

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	5–13	-0.05	13%	28 Aug →
inferno	7–13	0.14	21%	28 Aug →
ancient	13–6	-0.03	11%	24 Aug →
nuke	8–13	-0.03	19%	22 Aug →
anubis	8–13	-0.03	8%	21 Aug →
nuke	2–13	0.01	25%	11 Aug →
anubis	13–11	-0.00	13%	7 Aug →
mirage	11–13	-0.01	26%	7 Aug →
mirage	13–11	-0.01	18%	5 Aug →
anubis	13–11	-0.00	18%	4 Aug →
ancient	13–11	0.06	16%	31 Jul →
nuke	9–13	-0.06	14%	31 Jul →
inferno	11–13	-0.06	10%	28 Jul →
inferno	13–2	0.06	29%	23 Jul →
cache	9–13	-0.08	16%	23 Jul →
cache	7–13	-0.03	38%	20 Jul →
ancient	13–8	0.02	19%	3 Jul →
nuke	13–8	0.04	21%	3 Jul →
anubis	13–11	0.05	13%	28 Jun →
inferno	13–8	-0.02	20%	26 Jun →
mirage	8–13	-0.03	28%	21 Jun →
nuke	13–2	0.06	22%	19 Jun →
anubis	13–10	0.02	22%	19 Jun →
cache	13–11	-0.05	18%	16 Jun →
dust2	13–4	0.01	24%	13 Jun →
anubis	5–13	0.04	18%	12 Jun →
ancient	13–10	0.04	26%	10 Jun →
dust2	13–6	-0.00	18%	8 Jun →
nuke	25–23	0.01	20%	8 Jun →
mirage	13–8	0.01	22%	7 Jun →
ancient	11–13	-0.05	23%	7 Jun →
mirage	5–13	-0.04	23%	6 Jun →
ancient	13–9	-0.02	19%	5 Jun →
inferno	13–7	0.04	13%	3 Jun →
inferno	12–16	-0.03	15%	3 Jun →
inferno	9–13	0.03	17%	1 Jun →
anubis	12–16	0.00	17%	30 May →
anubis	11–13	-0.02	8%	30 May →
overpass	13–5	0.04	16%	25 May →
mirage	11–13	-0.03	23%	25 May →
cache	8–13	-0.00	12%	25 May →
mirage	9–13	-0.05	11%	24 May →
nuke	13–10	0.05	15%	23 May →
cache	5–13	0.01	20%	18 May →
nuke	13–8	-0.03	19%	10 May →
ancient	13–4	0.02	33%	25 Apr →
overpass	2–13	-0.09	29%	12 Apr →
ancient	6–13	-0.01	27%	7 Apr →
inferno	13–5	0.06	10%	7 Apr →
anubis	8–13	-0.06	10%	15 Mar →
inferno	16–14	-0.01	27%	10 Mar →
anubis	5–13	-0.04	8%	14 Feb →
anubis	13–11	-0.01	21%	13 Feb →
dust2	11–13	-0.05	14%	10 Feb →
mirage	9–13	-0.00	26%	4 Feb →
inferno	13–8	-0.04	13%	10 Jan →
ancient	13–6	0.10	25%	10 Jan →
overpass	10–13	0.08	28%	8 Jan →
inferno	13–10	-0.00	23%	7 Jan →
inferno	13–10	-0.00	17%	30 Dec →
nuke	7–13	0.11	21%	26 Dec →
overpass	7–13	0.05	16%	26 Dec →
nuke	13–9	0.01	19%	16 Dec →
train	9–13	-0.08	24%	16 Dec →
ancient	13–9	-0.04	16%	12 Dec →
train	13–9	-0.04	19%	7 Dec →
inferno	4–13	-0.05	10%	5 Dec →
nuke	10–13	0.04	20%	5 Dec →
dust2	16–13	0.07	30%	3 Dec →
ancient	13–9	0.09	20%	3 Dec →
mirage	13–10	-0.03	17%	2 Dec →
ancient	13–7	0.00	37%	30 Nov →
nuke	13–7	0.01	28%	30 Nov →
nuke	13–11	0.07	16%	20 Nov →
dust2	6–13	-0.04	13%	19 Nov →
train	13–4	0.06	21%	13 Nov →
nuke	11–13	-0.02	30%	15 Oct →
ancient	13–7	0.00	14%	9 Oct →
inferno	10–13	0.01	14%	1 Oct →
mirage	11–13	-0.07	18%	30 Sept →
dust2	14–16	-0.03	22%	17 Sept →
nuke	13–11	0.02	26%	17 Sept →
ancient	9–13	-0.01	23%	9 Sept →
ancient	6–13	-0.06	17%	6 Sept →
mirage	8–13	0.14	24%	5 Sept →
mirage	8–13	-0.02	25%	2 Sept →
nuke	7–13	-0.02	29%	31 Aug →
dust2	9–13	-0.05	17%	30 Aug →
inferno	13–16	0.03	19%	28 Aug →
mirage	13–9	-0.01	19%	25 Aug →
nuke	13–7	-0.04	19%	19 Aug →
overpass	11–13	-0.06	39%	9 Aug →
mirage	13–7	0.06	18%	7 Aug →
inferno	12–12	0.06	23%	5 Aug →
vertigo	13–10	0.07	28%	4 Aug →
train	13–6	0.10	17%	4 Aug →
dust2	13–6	0.05	26%	3 Aug →
inferno	7–13	-0.02	20%	3 Aug →
nuke	13–10	0.06	21%	2 Aug →
inferno	8–13	0.10	19%	2 Aug →