Big Man Blastoise — CS2 Stats

76561198196300674[U:1:236034946]✓ No bans

2,051Tracked matches38%Win rate2020Tracked since

3,917Hours in CS8Hrs last 2 wks

CSDB Rating5.2 DevelopingPassive Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim73

Positioning42

Utility64

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLWLLLLWLLW

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

Player DNA

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

Aim7.3

Aggression3.7

Utility6.4

Positioning4.2

Opening Duels0.2

Clutch2.0

Strong CT-side openerEffective flashes

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 NiKo 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim7.3

Positioning4.2

Utility6.4

Mechanics6.3

Opening Duels1.2

Win Impact1.0

Composite 5.2/10 (Developing), 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 rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time640ms−58ms

first ⅓ avg 698ms → last ⅓ avg 640ms

Headshot accuracy18.7%+1.9%

first ⅓ avg 16.8% → last ⅓ avg 18.7%

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

0.15Best rating — dust2 13–5

13–2Biggest win — dust2

3Longest win streak

5–12In matches decided by ≤2 rounds

3Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	15–16	48%	-0.01
cache	C	22	9–13	41%	-0.02
inferno	B	13	7–6	54%	-0.01
nuke	A	7	4–3	57%	-0.01
anubis	S	6	4–2	67%	0.01
mirage	C	5	2–3	40%	-0.06
overpass	S	5	4–1	80%	0.01
ancient	—	4	1–3	25%	-0.02
train	—	3	1–2	33%	-0.04
vertigo	—	3	0–3	0%	0.01
alpine	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,963Lifetime kills

0.91K/D

8,239Matches

41.1%Match win rate

38.4%Headshot %

15.7%Shot accuracy · Top 25% of tracked players

9,975MVPs

2,407Hours (in match)

3,508Bombs planted

1,107Bombs defused

Most-used weapons

AK-4724,861

M4A4 / M4A1-S19,819

AWP18,327

P2000 / USP-S8,294

Desert Eagle6,692

Glock-184,124

SG 5533,994

Galil AR3,518

FAMAS3,030

P2502,921

Lifetime map wins

10,923dust2

8,555inferno

4,578nuke

4,313office

4,001train

3,009vertigo

529lake

499cbble

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

Faceit stats

Combat

87Matches

62%Win rate

0.81Avg K/D

62.0ADR

41%Headshot %

Clutches & streaks

30%1v1 clutch win

9%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	34	71%	0.82	11.9
Inferno	17	53%	0.83	11.2
Nuke	9	56%	0.78	11.7
Overpass	9	78%	0.93	16.2
Ancient	5	40%	0.55	7.4
Anubis	4	75%	1.23	12.5
Cache	3	33%	0.50	8.7
Mirage	2	50%	0.94	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.

18.8%Headshot accuracy

36.0%Accuracy (enemy spotted)

44.4%Spray accuracy

78.2%Counter-strafing

9.2°Preaim

645msReaction time

21.5%T opening success

40.0%CT opening success

0.72Enemies flashed / flash

7.2%Flash assists

11.64HE damage / grenade

8.83Flashes / 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 21.5418% — 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.

40% win rate across 5 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
ancient	9–13	0.05	7%	29 Aug →
nuke	13–7	0.02	14%	26 Aug →
train	7–13	-0.07	6%	25 Aug →
cache	10–13	0.08	22%	24 Aug →
inferno	3–13	0.01	17%	24 Aug →
inferno	6–13	-0.01	24%	24 Aug →
dust2	13–2	0.14	22%	20 Aug →
cache	13–16	-0.04	11%	18 Aug →
dust2	11–13	-0.02	11%	17 Aug →
cache	13–10	0.02	21%	12 Aug →
dust2	13–5	0.15	15%	12 Aug →
dust2	5–13	-0.02	17%	7 Aug →
dust2	11–13	0.07	16%	7 Aug →
anubis	13–10	-0.01	32%	2 Aug →
inferno	12–6	0.07	16%	1 Aug →
dust2	5–13	0.00	17%	1 Aug →
cache	13–10	0.01	17%	31 Jul →
nuke	3–10	-0.01	47%	31 Jul →
vertigo	0–13	-0.05	17%	31 Jul →
dust2	6–13	-0.01	30%	31 Jul →
dust2	5–13	-0.03	19%	31 Jul →
dust2	1–13	-0.07	24%	30 Jul →
cache	1–13	-0.01	32%	30 Jul →
dust2	16–14	0.03	16%	30 Jul →
dust2	5–13	-0.04	19%	29 Jul →
dust2	7–13	-0.04	27%	22 Jul →
cache	12–12	-0.03	15%	21 Jul →
inferno	13–10	0.00	18%	21 Jul →
dust2	13–4	-0.01	14%	18 Jul →
inferno	13–11	0.01	23%	18 Jul →
dust2	9–13	-0.01	14%	18 Jul →
dust2	13–10	-0.00	20%	18 Jul →
mirage	0–7	-0.10	0%	18 Jul →
cache	13–7	-0.01	13%	18 Jul →
nuke	14–16	-0.00	13%	16 Jul →
inferno	13–5	0.02	26%	16 Jul →
anubis	13–8	-0.02	26%	14 Jul →
cache	2–13	-0.07	11%	12 Jul →
anubis	13–8	0.03	17%	12 Jul →
dust2	0–3	-0.01	0%	12 Jul →
dust2	13–7	-0.03	16%	9 Jul →
cache	13–7	0.06	10%	9 Jul →
inferno	7–13	-0.01	9%	6 Jul →
anubis	11–13	0.01	26%	6 Jul →
overpass	13–4	0.05	22%	2 Jul →
cache	13–7	0.02	14%	2 Jul →
dust2	13–5	0.03	29%	2 Jul →
cache	8–13	-0.04	13%	26 Jun →
dust2	2–13	-0.06	11%	26 Jun →
vertigo	4–13	0.05	15%	24 Jun →
mirage	13–10	-0.02	28%	24 Jun →
anubis	5–13	-0.05	14%	24 Jun →
ancient	9–13	-0.09	11%	23 Jun →
dust2	13–6	-0.01	12%	23 Jun →
nuke	11–13	-0.02	11%	21 Jun →
ancient	13–7	0.01	19%	20 Jun →
dust2	6–0	-0.08	19%	20 Jun →
alpine	3–13	-0.01	15%	9 Jun →
inferno	6–13	-0.00	12%	9 Jun →
dust2	11–13	-0.04	21%	9 Jun →
inferno	13–11	-0.01	23%	4 Jun →
dust2	13–11	-0.03	11%	4 Jun →
cache	9–13	-0.03	22%	4 Jun →
train	7–13	-0.09	11%	25 May →
overpass	13–9	0.06	12%	25 May →
inferno	13–4	0.01	7%	25 May →
dust2	13–7	0.00	34%	25 May →
mirage	2–4	-0.14	0%	24 May →
nuke	13–7	-0.02	9%	24 May →
anubis	13–7	0.09	37%	24 May →
nuke	13–2	0.01	38%	24 May →
vertigo	11–13	0.04	10%	16 May →
nuke	13–6	-0.06	11%	16 May →
overpass	13–11	-0.02	28%	15 May →
mirage	2–13	-0.02	9%	15 May →
inferno	13–10	0.01	17%	15 May →
dust2	13–6	-0.01	15%	15 May →
overpass	13–7	-0.03	15%	14 May →
cache	6–13	-0.05	12%	14 May →
dust2	13–3	0.14	21%	14 May →
cache	11–13	-0.07	13%	10 May →
inferno	7–13	-0.06	12%	10 May →
train	13–10	0.03	23%	10 May →
overpass	11–13	-0.02	21%	9 May →
dust2	13–6	-0.06	24%	9 May →
cache	13–5	-0.03	9%	9 May →
dust2	11–4	-0.00	24%	9 May →
dust2	5–13	-0.05	14%	9 May →
cache	2–13	-0.06	11%	8 May →
dust2	6–13	-0.03	21%	8 May →
cache	13–7	-0.01	13%	3 May →
cache	10–13	-0.04	20%	1 May →
cache	13–3	0.08	19%	1 May →
cache	11–13	-0.05	23%	1 May →
cache	13–4	0.01	21%	1 May →
cache	12–12	-0.08	19%	30 Apr →
dust2	11–13	-0.11	16%	30 Apr →
inferno	10–13	-0.10	13%	22 Apr →
mirage	13–7	-0.02	16%	22 Apr →
ancient	4–13	-0.05	4%	21 Apr →