33tv1r — CS2 Stats

76561198142209977[U:1:181944249]

1,088Tracked matches47%Win rate2020Tracked since

4,662Hours in CS5Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim66

Positioning49

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLLWWWLLLW

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.6

Aggression7.7

Utility5.9

Positioning4.9

Opening Duels3.5

Clutch3.4

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 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Reaction time. 570ms 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

Aim6.6

Positioning4.9

Utility5.9

Mechanics6.5

Opening Duels3.5

Win Impact3.9

Composite 5.3/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time572ms+22ms

first ⅓ avg 549ms → last ⅓ avg 572ms

Headshot accuracy14.6%−0.5%

first ⅓ avg 15.1% → last ⅓ avg 14.6%

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 — vertigo 9–3

13–1Biggest win — cache

6Longest win streak

L3Current streak

8–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

trainBest map · 71% over 7dust2Weakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	21	9–12	43%	-0.01
nuke	C	12	5–7	42%	-0.01
inferno	B	10	5–5	50%	-0.02
vertigo	A	10	6–4	60%	0.02
anubis	S	9	6–3	67%	0.01
office	C	9	4–5	44%	-0.02
ancient	A	7	4–3	57%	-0.02
dust2	D	7	2–5	29%	-0.01
train	S	7	5–2	71%	0.01
mirage	C	5	2–3	40%	-0.02
overpass	—	2	2–0	100%	0.02
shelter	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,082Lifetime kills

1.02K/D

6,522Matches

46.2%Match win rate · Top 50% of tracked players

40.2%Headshot %

15.9%Shot accuracy · Top 25% of tracked players

26,383MVPs

2,622Hours (in match)

4,584Bombs planted

1,386Bombs defused

Most-used weapons

AK-4739,291

AWP26,016

M4A4 / M4A1-S16,623

P2000 / USP-S9,187

Desert Eagle6,984

Glock-184,750

P903,226

AUG3,015

SSG 082,870

Knife1,966

Lifetime map wins

14,563dust2

8,457inferno

3,745nuke

3,699train

3,437cbble

842vertigo

333office

103lake

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

Faceit stats

Combat

534Matches

53%Win rate

1.17Avg K/D

93.2ADR

37%Headshot %

Clutches & streaks

37%1v1 clutch win

33%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	46%	1.06	17.5
Inferno	17	76%	1.20	21.6
Nuke	16	88%	1.55	20.9
Anubis	13	54%	1.18	17.5
Dust2	11	55%	1.27	21.0
Ancient	10	70%	1.09	13.8
Overpass	4	25%	0.72	15.8
Vertigo	3	33%	2.57	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.

14.5%Headshot accuracy

33.0%Accuracy (enemy spotted)

35.3%Spray accuracy

79.5%Counter-strafing

8.9°Preaim

570msReaction time

39.6%T opening success

48.3%CT opening success

0.58Enemies flashed / flash

5.8%Flash assists

13.54HE damage / grenade

5.29Flashes / 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 14.457% — below the 15% mark we flag
Aim Training →
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 39.6479% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	12–16	0.00	12%	30 Aug →
cache	11–13	-0.02	17%	30 Aug →
cache	5–6	-0.03	7%	30 Aug →
cache	13–1	0.07	23%	26 Aug →
nuke	13–8	0.14	17%	26 Aug →
cache	13–8	-0.01	20%	23 Aug →
cache	8–13	0.01	13%	23 Aug →
cache	13–16	-0.05	11%	10 Aug →
ancient	3–13	-0.07	6%	10 Aug →
dust2	13–7	-0.03	18%	9 Aug →
cache	13–11	-0.06	16%	8 Aug →
inferno	25–23	0.02	13%	7 Aug →
anubis	10–13	-0.03	11%	7 Aug →
ancient	13–4	0.02	6%	7 Aug →
nuke	9–13	-0.05	30%	6 Aug →
anubis	13–9	-0.02	5%	5 Aug →
cache	13–11	0.04	15%	5 Aug →
inferno	13–6	-0.01	15%	5 Aug →
vertigo	13–10	0.00	14%	3 Aug →
vertigo	0–5	-0.10	9%	3 Aug →
vertigo	13–5	0.11	19%	3 Aug →
cache	14–16	-0.01	8%	22 Jul →
nuke	6–13	-0.08	17%	22 Jul →
ancient	7–13	-0.04	24%	15 Jul →
nuke	13–3	0.04	21%	15 Jul →
inferno	13–8	-0.03	13%	15 Jul →
inferno	9–5	-0.09	19%	13 Jul →
cache	4–13	-0.04	17%	13 Jul →
cache	4–13	-0.05	15%	13 Jul →
office	7–13	-0.04	14%	9 Jul →
shelter	7–13	-0.04	10%	9 Jul →
nuke	8–6	-0.00	18%	9 Jul →
cache	13–8	0.05	11%	7 Jul →
cache	12–12	-0.04	14%	7 Jul →
ancient	13–7	0.02	11%	5 Jul →
train	13–8	0.01	14%	22 Jun →
train	13–6	-0.01	17%	22 Jun →
vertigo	9–3	0.19	21%	16 Jun →
cache	8–13	-0.03	11%	10 Jun →
overpass	16–12	0.04	15%	10 Jun →
vertigo	7–13	-0.03	17%	9 Jun →
vertigo	13–3	-0.00	15%	9 Jun →
vertigo	13–9	0.08	24%	3 Jun →
inferno	8–13	-0.06	10%	2 Jun →
inferno	6–13	0.03	17%	2 Jun →
anubis	13–9	-0.02	8%	27 May →
cache	13–9	-0.00	13%	25 May →
dust2	5–13	-0.01	36%	25 May →
anubis	13–8	0.02	11%	24 May →
mirage	8–13	-0.09	14%	24 May →
dust2	6–13	-0.03	16%	24 May →
office	9–13	-0.06	11%	23 May →
nuke	1–5	0.02	7%	23 May →
mirage	13–8	0.02	18%	18 May →
cache	7–13	-0.03	8%	18 May →
office	13–5	-0.05	18%	17 May →
mirage	13–6	0.05	14%	6 May →
cache	4–13	-0.05	18%	6 May →
cache	13–1	0.05	20%	6 May →
inferno	11–13	-0.03	18%	4 May →
cache	13–9	-0.00	21%	29 Apr →
cache	13–11	0.04	17%	29 Apr →
cache	10–13	-0.05	13%	29 Apr →
inferno	11–13	0.01	16%	28 Apr →
anubis	13–4	0.09	6%	28 Apr →
ancient	13–6	0.03	13%	26 Apr →
nuke	13–10	0.01	13%	26 Apr →
train	13–8	0.10	20%	24 Apr →
train	13–9	-0.06	9%	24 Apr →
train	13–5	0.04	22%	24 Apr →
train	12–12	-0.02	8%	23 Apr →
train	5–13	0.03	18%	23 Apr →
dust2	14–16	0.01	22%	21 Apr →
dust2	13–6	0.02	11%	20 Apr →
vertigo	4–13	-0.03	11%	20 Apr →
office	10–2	-0.01	0%	18 Apr →
office	13–11	-0.00	12%	17 Apr →
nuke	13–6	0.01	23%	17 Apr →
ancient	11–13	-0.04	7%	15 Apr →
vertigo	13–9	-0.01	17%	11 Apr →
nuke	3–13	-0.09	10%	11 Apr →
inferno	6–9	-0.08	17%	11 Apr →
mirage	11–13	-0.04	23%	10 Apr →
vertigo	12–12	0.03	15%	10 Apr →
nuke	4–9	-0.06	30%	10 Apr →
inferno	13–9	0.01	6%	7 Apr →
dust2	11–13	-0.03	11%	7 Apr →
overpass	13–8	-0.00	8%	7 Apr →
anubis	13–4	0.03	12%	1 Apr →
anubis	7–13	0.02	15%	1 Apr →
anubis	6–13	0.03	8%	1 Apr →
office	12–12	0.01	17%	25 Mar →
dust2	7–13	0.01	20%	25 Mar →
nuke	4–13	-0.03	22%	25 Mar →
office	9–13	0.02	12%	18 Mar →
mirage	5–13	-0.04	12%	18 Mar →
office	13–6	-0.02	27%	18 Mar →
office	11–13	-0.02	17%	18 Mar →
ancient	13–11	-0.07	19%	17 Mar →
anubis	13–11	-0.05	18%	17 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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