firetruckboy — CS2 Stats

US76561198179565914[U:1:219300186]Steam profile ↗

1,306Tracked matches43%Win rate2020Tracked since

2,743Hours in CS14Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating18,532Purple band · top ~14.3% of ranked players (population est.)

CSDB Leaderboard#7854 of 14972 tracked

FaceitLevel 7 · 1,472 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning57

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateLLWWLLLLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim8.7

Aggression6.1

Utility5.1

Positioning5.7

Opening Duels3.5

Clutch3.4

Sharp aimerLimited 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.

Your pro match

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, positioning 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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 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

Aim8.7

Positioning5.7

Utility5.1

Mechanics7.7

Opening Duels3.5

Win Impact2.8

Composite 6.3/10 (Solid), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time560ms−4ms

first ⅓ avg 564ms → last ⅓ avg 560ms

Headshot accuracy15.1%+1.6%

first ⅓ avg 13.5% → last ⅓ avg 15.1%

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.

Highlights

0.19Best rating — inferno 11–0

11–0Biggest win — inferno

3Longest win streak

L2Current streak

5–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 56% over 16ancientWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	32	12–20	38%	0.01
mirage	A	16	9–7	56%	-0.00
nuke	C	14	6–8	43%	0.01
ancient	D	14	3–11	21%	0.01
inferno	D	9	3–6	33%	0.03
anubis	C	9	4–5	44%	0.01
vertigo	—	4	3–1	75%	0.04
fachwerk	—	1	0–1	0%	-0.01
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,581Lifetime kills

0.95K/D

4,243Matches

36.7%Match win rate

42.8%Headshot %

20.1%Shot accuracy · Top 5% of tracked players

8,300MVPs

1,633Hours (in match)

1,575Bombs planted

912Bombs defused

Most-used weapons

AK-4744,581

M4A4 / M4A1-S22,050

AWP6,667

P2000 / USP-S5,653

Glock-183,475

Desert Eagle3,001

MP91,831

PP-Bizon1,491

MAC-101,451

Galil AR1,363

Lifetime map wins

5,397inferno

2,722nuke

2,076dust2

1,708train

1,476vertigo

209cbble

24lake

23stmarc

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

Faceit stats

Combat

489Matches

50%Win rate

1.11Avg K/D

82.9ADR

35%Headshot %

Clutches & streaks

37%1v1 clutch win

13%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	42	38%	1.12	15.4
Ancient	32	50%	1.03	15.5
Overpass	15	27%	1.01	17.7
Train	9	67%	0.90	14.3
Anubis	4	50%	1.03	17.8
Vertigo	2	0%	0.76	12.0
Dust2	1	100%	1.00	26.0
Inferno	1	100%	1.93	27.0

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.

15.2%Headshot accuracy

42.4%Accuracy (enemy spotted)

44.3%Spray accuracy

84.6%Counter-strafing

9.1°Preaim

547msReaction time

37.1%T opening success

50.7%CT opening success

0.65Enemies flashed / flash

5.4%Flash assists

10.25HE damage / grenade

4.44Flashes / 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
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 37.1354% — below the 40% mark we flag

Spend your practice time on Ancient

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	-0.00	23%	27 Aug →
cache	8–13	-0.01	15%	27 Aug →
ancient	13–10	0.05	15%	27 Aug →
nuke	13–4	0.07	16%	27 Aug →
cache	11–13	-0.01	11%	27 Aug →
inferno	11–13	0.02	21%	26 Aug →
ancient	10–13	0.04	21%	26 Aug →
mirage	6–13	-0.02	13%	26 Aug →
mirage	13–3	-0.04	8%	26 Aug →
mirage	13–8	-0.01	20%	25 Aug →
cache	11–13	-0.00	12%	25 Aug →
cache	8–13	0.00	13%	24 Aug →
anubis	6–13	0.06	19%	24 Aug →
nuke	8–13	-0.01	12%	23 Aug →
inferno	13–5	0.08	16%	23 Aug →
cache	13–9	0.00	24%	23 Aug →
mirage	16–13	0.02	21%	23 Aug →
ancient	4–13	-0.06	21%	22 Aug →
nuke	13–5	0.01	6%	4 Aug →
cache	5–13	-0.09	14%	4 Aug →
cache	13–8	0.12	7%	31 Jul →
ancient	10–13	0.01	11%	31 Jul →
mirage	13–9	0.03	9%	29 Jul →
ancient	1–13	-0.05	19%	28 Jul →
nuke	5–13	-0.01	13%	24 Jul →
nuke	13–7	0.02	24%	23 Jul →
mirage	5–13	0.01	18%	23 Jul →
mirage	8–13	0.02	17%	21 Jul →
ancient	16–14	0.04	10%	21 Jul →
mirage	13–11	0.02	11%	21 Jul →
anubis	8–13	-0.02	14%	18 Jul →
anubis	13–9	-0.00	17%	18 Jul →
mirage	13–11	-0.06	10%	18 Jul →
cache	13–7	0.06	17%	18 Jul →
fachwerk	10–13	-0.01	24%	18 Jul →
ancient	8–13	-0.06	8%	18 Jul →
cache	10–13	-0.03	14%	17 Jul →
cache	8–13	-0.03	16%	17 Jul →
inferno	1–13	-0.01	19%	16 Jul →
cache	13–8	0.09	8%	16 Jul →
inferno	11–0	0.19	15%	15 Jul →
ancient	11–13	0.05	11%	15 Jul →
nuke	6–13	-0.01	6%	15 Jul →
anubis	12–16	-0.01	7%	14 Jul →
cache	5–13	-0.02	13%	14 Jul →
inferno	5–13	0.05	10%	14 Jul →
cache	13–9	0.03	14%	14 Jul →
cache	10–13	0.04	12%	14 Jul →
cache	4–13	-0.01	14%	13 Jul →
nuke	13–5	0.05	6%	13 Jul →
cache	13–11	0.07	13%	13 Jul →
mirage	16–13	-0.04	9%	13 Jul →
cache	6–13	-0.04	4%	12 Jul →
nuke	11–13	0.01	6%	12 Jul →
ancient	6–13	-0.01	16%	12 Jul →
mirage	11–13	0.04	11%	12 Jul →
inferno	13–10	-0.01	17%	12 Jul →
cache	6–13	0.00	8%	12 Jul →
mirage	13–8	0.05	13%	11 Jul →
nuke	11–13	-0.01	6%	11 Jul →
cache	6–13	-0.07	16%	11 Jul →
mirage	13–8	-0.01	15%	11 Jul →
nuke	13–7	-0.03	6%	11 Jul →
ancient	15–15	0.03	9%	11 Jul →
cache	13–9	0.02	19%	10 Jul →
cache	8–13	-0.03	20%	10 Jul →
nuke	12–12	0.01	12%	8 Jul →
anubis	1–13	-0.06	0%	8 Jul →
cache	13–5	-0.00	8%	8 Jul →
vertigo	13–9	0.04	12%	8 Jul →
train	10–13	0.00	14%	7 Jul →
ancient	11–13	0.04	15%	7 Jul →
vertigo	7–13	0.07	18%	7 Jul →
nuke	5–13	0.06	17%	7 Jul →
cache	7–13	0.02	11%	7 Jul →
cache	9–13	0.00	16%	6 Jul →
inferno	8–13	0.00	10%	6 Jul →
ancient	9–13	0.01	14%	6 Jul →
ancient	13–10	-0.00	13%	2 Jul →
anubis	13–8	0.04	14%	2 Jul →
inferno	11–13	-0.05	15%	1 Jul →
nuke	13–7	-0.01	15%	1 Jul →
mirage	6–13	-0.08	4%	25 Jun →
anubis	16–14	0.03	9%	25 Jun →
mirage	15–15	0.02	8%	23 Jun →
ancient	9–13	0.04	8%	23 Jun →
anubis	7–13	-0.03	13%	22 Jun →
mirage	8–13	-0.04	7%	22 Jun →
cache	13–5	0.06	11%	13 Jun →
vertigo	13–10	0.01	16%	13 Jun →
inferno	12–12	-0.01	14%	26 May →
cache	12–12	0.06	10%	26 May →
cache	4–13	-0.05	33%	26 May →
anubis	13–9	0.04	25%	23 May →
vertigo	13–3	0.04	21%	23 May →
cache	9–13	-0.03	11%	23 May →
cache	13–9	0.03	13%	23 May →
cache	10–13	-0.02	24%	18 May →
cache	13–5	0.04	13%	18 May →
cache	13–4	0.06	14%	18 May →