BULLLLLLDOGI — CS2 Stats

NE76561198210499571[U:1:250233843]Steam profile ↗✓ No bans

615Tracked matches27%Win rate2020Tracked since

CSDB Rating3.0 LearningSupport

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim21

Positioning26

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY35–62–3Last 10035%Win rateLLLWWWWLWL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +7.8pp headshot accuracy · −53ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.06
Avg headshot accuracy 13%
Avg reaction 606ms

Last 10

5–5 · 50% win rate
Avg rating -0.05
Avg headshot accuracy 16%
Avg reaction 662ms

Last 20

7–13 · 35% win rate
Avg rating -0.05
Avg headshot accuracy 12%
Avg reaction 688ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.6 against its own average).

Aim2.1

Utility6.8

Positioning2.6

Opening Duels0.0

Clutch3.4

Strong T-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 54% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 29% on T to 13% on CT — first contacts on the defending side are being lost.

Reaction time. 730ms 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

Aim2.1

Positioning2.6

Utility6.8

Mechanics5.3

Opening Duels0.0

Win Impact0.0

Composite 3.0/10 (Learning), 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 rating-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time740ms+25ms

first ⅓ avg 715ms → last ⅓ avg 740ms

Headshot accuracy12.4%+1.7%

first ⅓ avg 10.7% → last ⅓ avg 12.4%

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.

Personal bests

0.10Best match rating · 13–8 · dust2, 19 Aug →

50%Best headshot accuracy · 3–13 · warden, 15 Apr →

359msFastest reaction time · 4–8 · office, 28 Jul →

13–0Biggest win · office, 24 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L3Current streak

6–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 50% over 14infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
office	C	23	9–14	39%	-0.03
nuke	D	15	4–11	27%	-0.05
mirage	B	14	7–7	50%	-0.03
dust2	D	10	3–7	30%	-0.03
anubis	D	6	2–4	33%	-0.06
ancient	B	6	3–3	50%	-0.06
vertigo	B	6	3–3	50%	-0.05
inferno	D	6	1–5	17%	-0.01
overpass	—	4	2–2	50%	-0.03
thera	—	3	1–2	33%	-0.06
italy	—	2	0–2	0%	-0.10
cache	—	2	0–2	0%	-0.05
mills	—	2	0–2	0%	-0.07
warden	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

547Matches

49%Win rate

0.85Avg K/D

68.1ADR

36%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	156	53%	0.91	12.9
Inferno	64	45%	0.98	12.8
Nuke	62	53%	0.88	12.4
Ancient	60	52%	0.83	12.6
Anubis	55	47%	0.71	11.1
Vertigo	47	62%	0.92	12.2
Dust2	28	39%	0.77	11.8
Cache	19	21%	0.70	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.

12.6%Headshot accuracy

26.9%Accuracy (enemy spotted)

30.5%Spray accuracy

73.8%Counter-strafing

12.5°Preaim

730msReaction time

28.7%T opening success

13.5%CT opening success

0.69Enemies flashed / flash

4.4%Flash assists

10.01HE damage / grenade

10.19Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4685° — above the 12° mark we flag
Aim Training →
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 12.6374% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 729.5081ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.05	26%	24 Sept →
mirage	8–13	-0.11	6%	16 Sept →
mirage	1–13	-0.05	11%	14 Sept →
ancient	13–11	-0.04	13%	7 Sept →
mirage	13–8	-0.06	9%	7 Sept →
office	13–6	-0.06	20%	1 Sept →
mirage	13–9	-0.02	8%	30 Aug →
dust2	7–13	-0.03	21%	24 Aug →
dust2	13–6	-0.02	9%	17 Aug →
italy	2–13	-0.06	41%	9 Aug →
nuke	7–13	0.01	27%	9 Aug →
nuke	1–13	-0.11	0%	6 Aug →
nuke	7–13	-0.03	8%	5 Aug →
mirage	3–13	-0.04	12%	31 Jul →
nuke	13–4	0.06	12%	16 Jul →
mirage	13–11	-0.01	8%	6 Jul →
anubis	4–13	-0.10	6%	25 Jun →
office	8–13	-0.07	6%	25 Jun →
ancient	0–11	-0.11	0%	14 Jun →
mirage	6–13	-0.07	7%	14 Jun →
mirage	8–13	-0.03	14%	10 Jun →
nuke	1–13	-0.12	25%	10 Jun →
ancient	12–16	-0.05	8%	12 May →
nuke	13–6	0.00	16%	5 May →
dust2	2–13	-0.01	8%	5 May →
nuke	2–13	-0.07	16%	5 May →
cache	0–10	-0.05	11%	5 May →
vertigo	6–13	-0.06	18%	4 May →
overpass	10–13	-0.02	13%	4 May →
dust2	3–13	-0.10	3%	3 May →
office	4–11	-0.02	0%	3 May →
cache	7–13	-0.05	15%	3 May →
mirage	13–11	-0.07	15%	3 May →
ancient	13–4	-0.07	6%	21 Apr →
office	6–13	-0.09	10%	21 Apr →
nuke	13–1	-0.07	10%	21 Apr →
mirage	13–4	0.00	29%	21 Apr →
office	5–13	-0.01	14%	16 Apr →
office	3–13	-0.11	12%	15 Apr →
vertigo	5–9	-0.07	0%	15 Apr →
warden	3–13	-0.11	50%	15 Apr →
nuke	10–13	-0.04	33%	12 Apr →
dust2	7–13	-0.06	20%	12 Apr →
mirage	13–11	0.04	11%	12 Apr →
anubis	13–8	-0.08	24%	9 Apr →
office	13–8	0.05	8%	9 Apr →
mirage	12–12	0.01	14%	9 Apr →
anubis	8–13	-0.06	13%	9 Apr →
dust2	11–13	-0.05	9%	9 Apr →
ancient	8–13	-0.09	25%	8 Apr →
inferno	5–13	0.00	13%	8 Apr →
dust2	13–7	0.00	24%	8 Apr →
overpass	13–11	-0.02	15%	8 Apr →
inferno	3–4	-0.03	25%	19 Oct →
nuke	7–7	-0.08	11%	14 Oct →
italy	2–3	-0.15	11%	14 Oct →
office	12–12	0.01	11%	11 Oct →
office	8–9	0.06	16%	2 Oct →
office	13–9	-0.08	8%	20 Sept →
office	8–13	0.01	20%	20 Sept →
inferno	1–13	0.00	0%	7 Sept →
anubis	7–13	-0.06	8%	7 Sept →
inferno	13–2	0.03	15%	6 Sept →
mills	9–13	-0.09	13%	6 Sept →
office	10–13	0.04	17%	5 Sept →
office	12–12	-0.06	8%	5 Sept →
office	13–8	-0.05	10%	4 Sept →
dust2	11–13	0.02	11%	4 Sept →
office	4–13	-0.06	7%	27 Aug →
office	9–13	-0.00	19%	25 Aug →
nuke	2–13	-0.03	5%	19 Aug →
thera	13–6	-0.03	12%	19 Aug →
vertigo	13–11	0.03	15%	19 Aug →
dust2	13–8	0.10	13%	19 Aug →
office	13–8	0.10	10%	19 Aug →
inferno	9–13	0.05	17%	19 Aug →
vertigo	4–13	-0.09	13%	17 Aug →
thera	6–13	-0.03	17%	17 Aug →
dust2	4–7	-0.14	18%	16 Aug →
office	13–1	-0.02	33%	16 Aug →
mirage	4–13	-0.07	12%	16 Aug →
nuke	1–13	-0.07	0%	16 Aug →
nuke	8–13	-0.06	12%	5 Aug →
mirage	13–8	0.03	12%	4 Aug →
inferno	0–9	-0.11	0%	4 Aug →
nuke	7–13	-0.10	15%	4 Aug →
vertigo	0–2	-0.15	0%	31 Jul →
overpass	13–3	-0.05	11%	31 Jul →
vertigo	13–8	0.05	8%	30 Jul →
nuke	13–6	-0.02	16%	30 Jul →
ancient	13–3	-0.02	11%	30 Jul →
office	4–8	-0.18	0%	28 Jul →
thera	1–13	-0.11	0%	28 Jul →
office	13–6	-0.00	14%	25 Jul →
mills	8–13	-0.05	18%	25 Jul →
office	13–6	-0.07	0%	25 Jul →
office	13–0	0.02	20%	24 Jul →
overpass	9–7	-0.03	6%	22 Jul →
anubis	13–7	-0.04	9%	22 Jul →
office	0–9	-0.10	0%	21 Jul →