GoBliNNN — CS2 Stats

US76561198402312617[U:1:442046889]Steam profile ↗

2,209Tracked matches52%Win rate2020Tracked since

4,419Hours in CS

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating27,709Top 5% of 819 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)

CSDB Leaderboard#361 of 10810 tracked

FaceitLevel 10 · 2,061 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	55.8%	52.8%
Shot accuracy	16.0%	13.7%
Kill/death ratio	0.99	1.08
Match win rate	45.4%	49.2%

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Performance scores

Aim93

Positioning61

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLWLWLLLWLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim9.3

Aggression8.3

Utility5.7

Positioning6.1

Opening Duels3.4

Clutch4.4

Sharp aimer

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 97% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

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

Aim9.3

Positioning6.1

Utility5.7

Mechanics8.0

Opening Duels3.4

Win Impact5.6

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time542ms−46ms

first ⅓ avg 588ms → last ⅓ avg 542ms

Headshot accuracy28.2%−0.8%

first ⅓ avg 29.0% → last ⅓ avg 28.2%

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

0.17Best rating — inferno 13–5

13–1Biggest win — inferno

6Longest win streak

8–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 63% over 16anubisWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	14–13	52%	0.01
mirage	A	27	15–12	56%	0.02
inferno	B	19	10–9	53%	0.02
cache	A	16	10–6	63%	0.03
anubis	B	6	3–3	50%	-0.01
ancient	—	2	1–1	50%	0.05
nuke	—	2	0–2	0%	-0.02
overpass	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

183,665Lifetime kills

0.99K/D

6,520Matches

45.4%Match win rate

55.8%Headshot % · Top 50% of Level 10 players

16.0%Shot accuracy · Top 50% of Level 10 players

17,921MVPs

4,419Hours (in match)

5,233Bombs planted

1,977Bombs defused

Most-used weapons

AK-4775,343

AWP28,909

Desert Eagle24,673

M4A4 / M4A1-S23,227

P2000 / USP-S10,697

Glock-184,600

Knife2,190

MAC-101,873

MP91,726

SSG 081,538

Lifetime map wins

14,149inferno

10,620dust2

2,582train

2,298nuke

1,058vertigo

555cbble

131office

100italy

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

Faceit stats

Combat

1,769Matches

54%Win rate

1.24Avg K/D

84.4ADR

59%Headshot %

Clutches & streaks

42%1v1 clutch win

27%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	403	54%	1.26	17.0
Inferno	289	58%	1.31	18.1
Dust2	257	50%	1.20	17.8
Ancient	140	49%	1.13	16.6
Anubis	126	49%	1.28	17.1
Overpass	43	65%	1.29	19.4
Nuke	38	58%	1.09	15.3
Train	33	55%	1.42	19.1

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.

29.0%Headshot accuracy

37.8%Accuracy (enemy spotted)

41.4%Spray accuracy

86.2%Counter-strafing

9.0°Preaim

535msReaction time

41.6%T opening success

45.9%CT opening success

0.47Enemies flashed / flash

5.1%Flash assists

7.85HE damage / grenade

10.16Flashes / 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 0.4707 — below the 0.5 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.07	30%	28 Aug →
cache	13–11	0.01	25%	27 Aug →
anubis	2–13	-0.08	12%	27 Aug →
mirage	13–10	0.02	32%	23 Aug →
dust2	11–13	-0.01	33%	22 Aug →
anubis	0–13	-0.11	27%	22 Aug →
inferno	10–13	0.02	17%	22 Aug →
mirage	13–6	0.05	26%	22 Aug →
dust2	10–13	0.01	16%	21 Aug →
anubis	13–4	0.11	23%	21 Aug →
mirage	6–13	0.03	38%	21 Aug →
mirage	8–13	0.02	33%	21 Aug →
dust2	13–2	0.03	46%	21 Aug →
mirage	13–10	-0.02	35%	20 Aug →
cache	13–8	0.11	31%	13 Aug →
inferno	13–10	0.01	16%	13 Aug →
dust2	12–16	0.05	24%	13 Aug →
inferno	13–9	0.02	29%	12 Aug →
dust2	13–11	-0.06	19%	12 Aug →
ancient	13–9	0.06	43%	11 Aug →
cache	13–8	-0.01	16%	10 Aug →
cache	6–13	0.01	26%	9 Aug →
dust2	6–13	-0.02	34%	9 Aug →
mirage	4–13	0.01	39%	8 Aug →
inferno	13–6	0.04	48%	8 Aug →
cache	14–16	0.03	29%	8 Aug →
dust2	13–11	0.02	41%	6 Aug →
dust2	6–13	-0.03	25%	6 Aug →
inferno	13–1	0.08	10%	6 Aug →
inferno	15–15	0.06	41%	6 Aug →
dust2	13–9	-0.02	24%	6 Aug →
cache	11–13	-0.02	8%	6 Aug →
mirage	11–13	0.04	32%	5 Aug →
dust2	16–13	0.04	23%	4 Aug →
mirage	13–10	0.07	30%	4 Aug →
inferno	8–13	-0.05	28%	4 Aug →
cache	8–13	-0.06	29%	2 Aug →
dust2	13–9	0.02	31%	2 Aug →
mirage	13–10	0.01	26%	1 Aug →
anubis	10–6	0.02	32%	1 Aug →
inferno	1–12	-0.05	25%	31 Jul →
dust2	2–13	-0.01	35%	31 Jul →
mirage	0–13	-0.04	38%	30 Jul →
dust2	13–3	0.05	41%	30 Jul →
cache	13–11	0.04	37%	30 Jul →
inferno	13–11	-0.01	43%	30 Jul →
cache	13–10	0.03	34%	29 Jul →
inferno	13–7	0.01	36%	29 Jul →
inferno	13–8	0.07	20%	28 Jul →
dust2	4–13	0.00	32%	27 Jul →
mirage	13–6	0.04	40%	27 Jul →
dust2	8–13	0.05	36%	27 Jul →
mirage	13–6	0.03	35%	27 Jul →
mirage	16–12	0.02	38%	26 Jul →
inferno	11–13	-0.03	19%	26 Jul →
dust2	7–13	-0.01	20%	26 Jul →
mirage	13–5	0.01	29%	26 Jul →
dust2	16–14	0.03	33%	24 Jul →
cache	13–9	0.02	23%	24 Jul →
cache	13–6	0.15	29%	24 Jul →
inferno	13–8	0.08	24%	23 Jul →
dust2	13–10	-0.01	16%	23 Jul →
cache	8–13	0.01	24%	22 Jul →
mirage	13–9	0.04	24%	22 Jul →
dust2	7–13	-0.06	29%	22 Jul →
mirage	6–13	0.01	28%	21 Jul →
inferno	6–13	-0.07	19%	20 Jul →
mirage	13–5	0.11	33%	20 Jul →
inferno	10–13	-0.05	17%	15 Jul →
cache	13–10	-0.00	30%	15 Jul →
anubis	9–13	-0.00	27%	14 Jul →
cache	13–9	-0.00	25%	11 Jul →
dust2	9–2	-0.04	50%	11 Jul →
mirage	9–13	0.00	22%	10 Jul →
mirage	13–7	-0.01	32%	10 Jul →
mirage	14–16	0.07	35%	10 Jul →
inferno	13–5	0.17	25%	10 Jul →
mirage	13–8	-0.02	23%	9 Jul →
cache	9–13	0.06	31%	9 Jul →
dust2	13–7	0.11	46%	9 Jul →
cache	13–2	0.07	26%	8 Jul →
inferno	13–8	0.15	34%	2 Jul →
mirage	11–4	0.05	42%	2 Jul →
mirage	13–8	-0.02	26%	2 Jul →
mirage	10–13	-0.05	36%	2 Jul →
dust2	5–13	-0.06	17%	1 Jul →
nuke	3–13	-0.04	29%	1 Jul →
inferno	11–13	0.03	31%	30 Jun →
mirage	2–13	-0.03	14%	30 Jun →
dust2	13–8	0.03	25%	30 Jun →
overpass	16–13	-0.02	34%	29 Jun →
dust2	13–11	0.10	41%	19 Jun →
inferno	9–13	-0.02	39%	18 Jun →
mirage	10–13	0.02	33%	17 Jun →
anubis	16–14	-0.01	26%	17 Jun →
dust2	8–1	0.04	7%	17 Jun →
ancient	6–13	0.03	27%	17 Jun →
dust2	4–13	0.03	24%	17 Jun →
mirage	11–13	0.00	19%	16 Jun →
nuke	2–13	-0.00	30%	16 Jun →