Robosquad — CS2 Stats

US76561198068705517[U:1:108439789]Steam profile ↗✓ No bans

3,191Tracked matches40%Win rate2020Tracked since

5,183Hours in CS14Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating25,290Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#3864 of 33994 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=1,873), 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	Red band median
Headshot rate	57.9%	49.9%
Shot accuracy	12.1%	13.4%
Kill/death ratio	1.21	1.12
Match win rate	42.5%	48.4%

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Performance scores

Aim86

Positioning52

Utility48

0–100 skill scores via Leetify.

Recent form

HOT52–46–2Last 10052%Win rateWWWWWLLWLW

Last 10 vs previous 10: +50pp win rate · -0.01 avg rating

Player DNA

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

Aim8.6

Aggression7.6

Utility4.8

Positioning5.2

Opening Duels2.6

Clutch3.2

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 91% playstyle similarity

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

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 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

Aim8.6

Positioning5.2

Utility4.8

Mechanics8.1

Opening Duels2.6

Win Impact1.7

Composite 6.3/10 (Solid), 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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time532ms−29ms

first ⅓ avg 561ms → last ⅓ avg 532ms

Headshot accuracy17.9%+0.6%

first ⅓ avg 17.4% → last ⅓ avg 17.9%

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 13–2

13–0Biggest win — anubis

7Longest win streak

W5Current streak

11–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 61% over 18mirageWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	18	11–7	61%	0.02
cache	A	18	10–8	56%	-0.00
anubis	A	16	9–7	56%	0.03
inferno	B	13	6–7	46%	0.01
nuke	C	12	5–7	42%	0.01
ancient	A	11	6–5	55%	0.01
mirage	D	10	3–7	30%	0.02
vertigo	—	1	1–0	100%	-0.05
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,968Lifetime kills

1.21K/D · Top 50% of Red band

6,234Matches

42.5%Match win rate

57.9%Headshot % · Top 25% of Red band

12.1%Shot accuracy

14,598MVPs

4,078Hours (in match)

7,604Bombs planted

1,810Bombs defused

Most-used weapons

AK-4797,603

M4A4 / M4A1-S25,492

P2000 / USP-S6,078

SG 5535,450

AWP3,792

Glock-183,330

UMP-452,940

AUG2,376

Galil AR2,337

P902,238

Lifetime map wins

10,005dust2

6,884inferno

3,854vertigo

3,833nuke

3,275train

513cbble

254office

250lake

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

Faceit stats

Combat

760Matches

50%Win rate

1.00Avg K/D

75.8ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	136	55%	1.05	15.3
Ancient	120	52%	1.02	14.9
Mirage	113	42%	0.97	15.0
Dust2	82	45%	0.88	14.2
Nuke	81	54%	1.06	15.4
Vertigo	79	58%	1.11	16.3
Overpass	29	41%	0.94	16.2
Inferno	24	42%	0.85	12.2

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.

17.7%Headshot accuracy

39.2%Accuracy (enemy spotted)

43.5%Spray accuracy

86.4%Counter-strafing

9.9°Preaim

527msReaction time

36.9%T opening success

44.3%CT opening success

0.48Enemies flashed / flash

8.8%Flash assists

7.17HE damage / grenade

6.32Flashes / 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 0.4769 — 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 36.898% — below the 40% mark we flag

Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–7	-0.05	7%	27 Aug →
dust2	13–10	-0.02	12%	27 Aug →
cache	19–17	0.01	18%	25 Aug →
ancient	13–5	0.01	22%	25 Aug →
anubis	13–6	0.08	15%	24 Aug →
anubis	3–13	-0.06	25%	23 Aug →
dust2	11–13	0.04	26%	23 Aug →
inferno	13–3	0.02	26%	22 Aug →
cache	11–13	0.07	25%	22 Aug →
anubis	13–6	0.02	18%	22 Aug →
nuke	13–4	0.06	23%	21 Aug →
cache	6–13	-0.02	24%	20 Aug →
inferno	10–13	0.08	23%	20 Aug →
ancient	11–13	-0.06	16%	20 Aug →
nuke	5–13	-0.03	10%	18 Aug →
nuke	2–13	0.02	24%	18 Aug →
mirage	6–13	0.02	20%	18 Aug →
ancient	2–13	-0.06	5%	17 Aug →
nuke	13–2	0.24	22%	17 Aug →
ancient	7–13	-0.04	10%	15 Aug →
dust2	13–9	-0.02	13%	15 Aug →
inferno	7–13	-0.05	11%	15 Aug →
mirage	13–4	0.02	15%	15 Aug →
dust2	10–13	0.07	16%	15 Aug →
nuke	8–13	0.03	22%	15 Aug →
dust2	5–13	0.03	28%	14 Aug →
inferno	3–13	0.02	18%	14 Aug →
mirage	10–13	0.04	11%	14 Aug →
cache	1–13	0.00	2%	13 Aug →
train	13–11	0.07	21%	13 Aug →
anubis	13–11	0.03	14%	12 Aug →
dust2	13–11	-0.01	18%	11 Aug →
dust2	0–13	-0.06	33%	9 Aug →
inferno	3–13	-0.03	14%	9 Aug →
anubis	10–13	0.06	14%	9 Aug →
dust2	14–16	0.00	11%	6 Aug →
inferno	7–13	0.02	15%	6 Aug →
anubis	13–0	0.11	12%	6 Aug →
cache	13–11	-0.06	6%	6 Aug →
inferno	13–10	-0.05	11%	3 Aug →
cache	13–7	-0.01	13%	2 Aug →
anubis	13–9	0.01	22%	2 Aug →
nuke	13–11	-0.01	24%	2 Aug →
nuke	9–5	-0.04	27%	1 Aug →
mirage	13–16	-0.03	13%	1 Aug →
dust2	13–6	0.08	25%	1 Aug →
cache	11–13	0.01	23%	1 Aug →
inferno	16–14	0.02	11%	1 Aug →
nuke	5–13	-0.05	15%	1 Aug →
anubis	13–7	0.01	12%	31 Jul →
dust2	5–13	-0.01	20%	31 Jul →
dust2	13–9	-0.00	19%	31 Jul →
mirage	14–16	0.01	16%	31 Jul →
ancient	13–7	0.04	20%	31 Jul →
cache	13–7	0.05	11%	29 Jul →
anubis	9–13	-0.02	11%	29 Jul →
nuke	7–13	-0.03	17%	29 Jul →
cache	13–4	0.06	15%	29 Jul →
mirage	7–13	0.02	15%	27 Jul →
cache	16–13	0.00	14%	26 Jul →
anubis	13–7	0.02	11%	26 Jul →
dust2	13–5	0.09	19%	26 Jul →
ancient	13–11	0.05	14%	26 Jul →
dust2	8–13	-0.03	22%	26 Jul →
mirage	13–5	0.06	15%	26 Jul →
dust2	13–11	0.06	23%	25 Jul →
anubis	8–13	-0.01	16%	20 Jul →
mirage	9–13	-0.05	19%	20 Jul →
ancient	13–6	0.01	15%	19 Jul →
inferno	13–11	-0.09	12%	19 Jul →
mirage	11–13	0.03	16%	19 Jul →
cache	9–13	-0.04	13%	19 Jul →
ancient	13–10	-0.02	9%	19 Jul →
anubis	13–5	0.03	13%	19 Jul →
cache	11–13	-0.04	16%	18 Jul →
ancient	2–13	0.01	20%	18 Jul →
anubis	11–13	0.07	19%	18 Jul →
dust2	13–9	0.04	18%	15 Jul →
nuke	13–7	-0.07	14%	15 Jul →
cache	13–11	0.02	13%	15 Jul →
inferno	13–1	0.11	15%	14 Jul →
cache	13–1	-0.05	14%	14 Jul →
ancient	15–15	0.06	12%	14 Jul →
dust2	13–3	0.03	12%	13 Jul →
anubis	14–16	-0.02	15%	13 Jul →
cache	7–13	-0.04	18%	13 Jul →
dust2	13–4	-0.00	25%	11 Jul →
nuke	10–13	-0.04	18%	10 Jul →
ancient	13–3	0.12	15%	10 Jul →
cache	13–7	-0.03	14%	10 Jul →
anubis	12–16	0.03	22%	10 Jul →
cache	13–10	0.01	19%	9 Jul →
inferno	7–13	0.07	28%	9 Jul →
inferno	13–9	0.03	36%	9 Jul →
cache	12–12	0.04	17%	9 Jul →
anubis	13–5	0.08	23%	29 Jun →
mirage	13–9	0.04	26%	28 Jun →
inferno	7–13	-0.04	18%	28 Jun →
nuke	10–13	0.01	18%	25 Jun →
dust2	13–4	0.13	10%	25 Jun →