GoCiller — CS2 Stats

76561198271537883[U:1:311272155]Steam profile ↗✓ No bans

949Tracked matches59%Win rate2020Tracked since

2,999Hours in CS

CSDB Rating5.2 DevelopingPositional Player

CSDB Leaderboard#213916 of 233157 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 949 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 6 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,575 +2,667 6 Apr – 6 Jul · 25 days played

Faceit ELO: 1,760 +0 2 Sept – 20 Sept · 2 observations

22,128Peak Premier in tracked matches

1,760Highest Faceit ELO seen on CSDB

40Days played since 2026-04-06

Faceit ELO

At peak — 1,760
Next: Level 10 at 2,001 — 241 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-02
Level 8 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim59

Positioning64

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLLWLLTWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −4.2pp headshot accuracy · +35ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.05
Avg headshot accuracy 11%
Avg reaction 625ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 11%
Avg reaction 620ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 602ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim5.9

Utility2.9

Positioning6.4

Opening Duels4.6

Clutch4.2

Strong CT-side openerLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like s1mple 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Positioning6.4

Utility2.9

Mechanics5.3

Opening Duels4.0

Win Impact7.9

Composite 5.2/10 (Developing), 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+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time585ms−4ms

first ⅓ avg 589ms → last ⅓ avg 585ms

Headshot accuracy13.1%−0.9%

first ⅓ avg 13.9% → last ⅓ avg 13.1%

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.

Personal bests

0.10Best match rating · 13–4 · dust2, 22 May →

26%Best headshot accuracy · 13–6 · mirage, 17 Apr →

391msFastest reaction time · 13–9 · ancient, 5 Jun →

13–1Biggest win · nuke, 16 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

8–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 64% over 14cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	13–15	46%	0.01
inferno	B	15	8–7	53%	-0.00
mirage	A	14	9–5	64%	0.00
anubis	C	12	5–7	42%	-0.01
nuke	A	11	6–5	55%	-0.02
ancient	A	11	6–5	55%	0.00
cache	D	6	2–4	33%	0.01
overpass	—	3	3–0	100%	0.01

Across the last 100 tracked matches.

Lifetime stats

135,605Lifetime kills

1.14K/D · Top 25% of tracked players

4,968Matches

47.3%Match win rate · Top 50% of tracked players

36.4%Headshot %

17.7%Shot accuracy · Top 25% of tracked players

20,650MVPs

2,999Hours (in match)

4,725Bombs planted

1,657Bombs defused

Most-used weapons

AK-4742,897

M4A4 / M4A1-S25,081

AWP24,732

Desert Eagle11,139

P2000 / USP-S6,764

Glock-185,157

P902,448

MP91,996

Knife1,994

SSG 081,632

Lifetime map wins

16,595dust2

4,945inferno

1,844vertigo

1,097cbble

1,091nuke

874train

301lake

98office

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

Faceit stats

Combat

536Matches

53%Win rate

1.09Avg K/D

85.0ADR

38%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	107	50%	1.04	16.4
Mirage	84	55%	1.14	18.1
Inferno	55	55%	1.10	19.0
Ancient	53	38%	0.88	15.1
Anubis	48	52%	1.00	16.7
Overpass	17	65%	1.14	17.1
Cache	10	30%	1.00	16.5
Nuke	10	70%	1.42	15.9

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.

12.4%Headshot accuracy

34.3%Accuracy (enemy spotted)

39.7%Spray accuracy

73.8%Counter-strafing

10.2°Preaim

579msReaction time

35.0%T opening success

56.7%CT opening success

0.28Enemies flashed / flash

6.3%Flash assists

8.82HE damage / grenade

2.89Flashes / 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 12.4061% — below the 15% mark we flag
Aim Training →
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 0.2836 — 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 34.9671% — 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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	0–9	-0.15	17%	20 Aug →
nuke	1–9	-0.14	5%	20 Aug →
anubis	13–9	0.04	9%	16 Aug →
dust2	9–13	0.01	13%	4 Aug →
inferno	11–13	0.02	9%	4 Aug →
inferno	15–15	-0.02	18%	30 Jul →
anubis	13–6	0.01	8%	26 Jul →
ancient	13–4	0.01	7%	26 Jul →
dust2	13–4	0.04	15%	23 Jul →
nuke	10–13	-0.00	13%	23 Jul →
nuke	13–10	-0.05	9%	21 Jul →
dust2	13–6	0.07	20%	15 Jul →
cache	3–13	-0.03	22%	11 Jul →
ancient	13–6	0.03	12%	6 Jul →
nuke	9–0	0.05	13%	24 Jun →
anubis	13–8	0.01	9%	24 Jun →
dust2	4–13	-0.02	18%	24 Jun →
ancient	7–13	0.02	24%	24 Jun →
dust2	7–13	0.01	22%	16 Jun →
anubis	8–13	-0.04	7%	16 Jun →
inferno	10–13	-0.03	11%	16 Jun →
nuke	5–9	-0.10	10%	15 Jun →
inferno	9–6	0.10	23%	15 Jun →
inferno	8–8	0.06	15%	15 Jun →
ancient	13–7	0.02	11%	15 Jun →
anubis	16–13	0.03	11%	15 Jun →
dust2	12–16	0.00	8%	8 Jun →
inferno	13–8	0.05	24%	6 Jun →
overpass	13–7	-0.02	7%	6 Jun →
inferno	13–11	0.03	13%	5 Jun →
ancient	13–16	-0.03	10%	5 Jun →
ancient	13–9	-0.00	3%	5 Jun →
mirage	13–10	0.02	16%	30 May →
mirage	17–19	-0.00	10%	24 May →
dust2	13–4	0.03	15%	24 May →
inferno	13–7	-0.04	7%	24 May →
inferno	13–7	-0.03	14%	24 May →
mirage	11–13	-0.08	10%	23 May →
mirage	13–10	0.01	5%	23 May →
dust2	11–13	0.02	13%	23 May →
mirage	3–0	0.03	22%	23 May →
dust2	16–14	0.01	17%	23 May →
dust2	8–13	-0.02	9%	23 May →
ancient	13–5	0.03	17%	23 May →
dust2	13–4	0.10	14%	22 May →
dust2	15–15	-0.03	8%	20 May →
dust2	11–13	0.01	13%	20 May →
inferno	13–10	0.06	11%	20 May →
mirage	10–13	0.06	16%	18 May →
dust2	13–7	-0.02	11%	18 May →
mirage	13–9	0.03	7%	17 May →
inferno	13–9	0.01	6%	17 May →
anubis	13–8	0.03	8%	17 May →
ancient	13–6	0.08	8%	17 May →
dust2	13–11	0.02	13%	17 May →
dust2	13–8	0.01	18%	17 May →
dust2	11–13	-0.00	16%	17 May →
nuke	8–13	-0.02	12%	14 May →
cache	13–5	0.05	20%	12 May →
ancient	10–13	0.01	17%	11 May →
overpass	13–9	0.01	20%	11 May →
dust2	10–13	0.02	12%	11 May →
inferno	13–10	-0.01	12%	11 May →
dust2	3–13	-0.04	24%	10 May →
dust2	13–10	0.02	14%	8 May →
dust2	13–10	0.03	21%	8 May →
dust2	10–13	0.03	9%	4 May →
mirage	9–13	0.01	16%	4 May →
anubis	10–13	-0.01	16%	3 May →
ancient	8–13	-0.07	16%	3 May →
nuke	13–11	-0.06	15%	3 May →
mirage	13–11	-0.00	14%	3 May →
dust2	13–8	-0.01	22%	3 May →
dust2	6–13	-0.01	10%	2 May →
dust2	13–11	-0.02	13%	2 May →
mirage	13–4	-0.05	12%	2 May →
dust2	13–10	-0.02	11%	2 May →
cache	11–13	0.03	9%	2 May →
cache	5–13	-0.03	21%	29 Apr →
cache	13–9	0.03	12%	29 Apr →
cache	5–13	-0.01	14%	29 Apr →
mirage	16–14	0.01	12%	21 Apr →
dust2	11–13	0.01	9%	21 Apr →
anubis	2–13	-0.09	0%	20 Apr →
anubis	9–13	-0.05	15%	18 Apr →
anubis	9–13	0.01	12%	18 Apr →
nuke	13–8	-0.00	9%	18 Apr →
dust2	5–13	-0.03	13%	17 Apr →
mirage	13–6	-0.03	26%	17 Apr →
nuke	3–9	-0.11	23%	17 Apr →
inferno	11–13	-0.06	11%	16 Apr →
nuke	13–1	0.10	14%	16 Apr →
nuke	13–8	0.09	19%	15 Apr →
inferno	10–13	-0.01	16%	15 Apr →
anubis	5–13	-0.02	19%	9 Apr →
overpass	13–4	0.03	17%	6 Apr →
anubis	7–13	-0.03	11%	6 Apr →
mirage	13–11	0.01	11%	6 Apr →
ancient	6–13	-0.03	13%	6 Apr →
mirage	8–13	0.05	12%	6 Apr →