blockbreaker748 — CS2 Stats

76561199101858446[U:1:1141592718]

1,147Tracked matches44%Win rate2023Tracked since

CSDB Rating3.4 Learning

Premier CS Rating1,977Grey band · top ~91.6% of ranked players (population est.)

CSDB Leaderboard#12674 of 16339 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanSilver IV

Ladder ranks via Leetify

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Performance scores

Aim20

Positioning47

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY37–51–12Last 10037%Win rateLLWWWWLWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Aim2.0

Aggression4.7

Utility5.7

Positioning4.7

Opening Duels1.9

Clutch4.8

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 81% playstyle similarity

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

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. 775ms 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

Aim2.0

Positioning4.7

Utility5.7

Mechanics6.1

Opening Duels1.9

Win Impact3.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time760ms−47ms

first ⅓ avg 808ms → last ⅓ avg 760ms

Headshot accuracy15.8%+0.2%

first ⅓ avg 15.6% → last ⅓ avg 15.8%

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

0.23Best rating — nuke 13–6

13–1Biggest win — vertigo

4Longest win streak

L2Current streak

6–10In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 53% over 19ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	-0.02
inferno	D	14	4–10	29%	-0.04
nuke	C	12	5–7	42%	-0.02
cache	C	12	5–7	42%	-0.01
dust2	D	11	3–8	27%	-0.03
ancient	D	5	1–4	20%	-0.05
debris	D	5	1–4	20%	-0.04
boulder	—	3	2–1	67%	-0.04
fachwerk	—	3	1–2	33%	-0.08
overpass	—	2	1–1	50%	-0.04
eldorado	—	2	0–2	0%	-0.10
office	—	2	0–2	0%	-0.11
vertigo	—	2	2–0	100%	-0.06
shelter	—	2	0–2	0%	-0.02
anubis	—	2	1–1	50%	-0.09
poseidon	—	1	0–1	0%	-0.10
italy	—	1	0–1	0%	-0.08
alpine	—	1	1–0	100%	-0.10
warden	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

48Matches

44%Win rate

0.44Avg K/D

46.9ADR

45%Headshot %

Clutches & streaks

44%1v1 clutch win

9%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	47%	0.40	6.7
Dust2	10	30%	0.44	7.3
Nuke	9	56%	0.42	6.4
Overpass	5	60%	0.44	6.0
Ancient	4	0%	0.59	12.0
Inferno	3	67%	0.47	8.7
Anubis	1	0%	0.33	4.0
Train	1	100%	0.45	9.0

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.

16.4%Headshot accuracy

26.1%Accuracy (enemy spotted)

27.3%Spray accuracy

77.3%Counter-strafing

12.6°Preaim

775msReaction time

30.6%T opening success

44.9%CT opening success

0.72Enemies flashed / flash

11.1%Flash assists

6.41HE damage / grenade

7.28Flashes / 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 12.6363° — above the 12° 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 775.1256ms — above the 700ms mark we flag
Aim Training →

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.

20% win rate across 5 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
inferno	4–9	-0.03	17%	22 Aug →
inferno	7–13	-0.03	18%	19 Aug →
mirage	13–5	0.02	20%	18 Aug →
mirage	13–10	0.02	11%	18 Aug →
mirage	13–6	-0.04	29%	17 Aug →
nuke	13–8	-0.04	4%	17 Aug →
mirage	9–13	-0.09	12%	16 Aug →
inferno	13–4	-0.07	19%	16 Aug →
overpass	13–6	-0.05	12%	16 Aug →
ancient	9–13	-0.06	14%	16 Aug →
nuke	12–12	0.01	18%	15 Aug →
eldorado	6–9	-0.12	18%	14 Aug →
debris	5–9	-0.06	4%	14 Aug →
mirage	6–13	-0.05	15%	14 Aug →
office	7–13	-0.09	15%	14 Aug →
boulder	13–10	-0.02	16%	10 Aug →
cache	12–12	0.05	16%	10 Aug →
vertigo	13–11	-0.10	18%	9 Aug →
poseidon	7–9	-0.10	15%	9 Aug →
debris	8–8	-0.02	18%	9 Aug →
cache	12–12	-0.05	27%	8 Aug →
dust2	5–13	-0.04	20%	8 Aug →
shelter	12–12	-0.04	13%	7 Aug →
dust2	8–13	-0.05	23%	7 Aug →
mirage	13–9	-0.04	37%	6 Aug →
dust2	13–11	-0.04	9%	6 Aug →
dust2	12–12	-0.01	22%	6 Aug →
ancient	8–13	-0.06	6%	6 Aug →
dust2	5–13	-0.07	8%	5 Aug →
ancient	11–13	-0.05	10%	5 Aug →
mirage	9–13	-0.05	15%	5 Aug →
nuke	13–8	-0.04	11%	5 Aug →
cache	11–13	0.01	16%	4 Aug →
mirage	8–13	-0.01	24%	4 Aug →
anubis	8–13	-0.09	16%	4 Aug →
ancient	11–13	-0.03	19%	3 Aug →
boulder	5–13	-0.05	19%	3 Aug →
cache	5–13	-0.02	17%	3 Aug →
vertigo	13–1	-0.01	30%	2 Aug →
debris	2–9	-0.10	7%	31 Jul →
inferno	13–4	-0.00	22%	31 Jul →
eldorado	6–9	-0.07	9%	31 Jul →
debris	9–4	0.20	34%	31 Jul →
fachwerk	7–13	-0.03	11%	30 Jul →
debris	1–9	-0.21	17%	30 Jul →
fachwerk	13–10	-0.05	12%	27 Jul →
boulder	13–6	-0.06	14%	26 Jul →
shelter	0–11	0.00	17%	16 Jul →
mirage	13–2	0.10	18%	15 Jul →
mirage	5–13	-0.00	19%	15 Jul →
dust2	13–3	0.12	14%	15 Jul →
inferno	13–1	-0.03	0%	14 Jul →
inferno	4–13	-0.04	27%	14 Jul →
dust2	13–11	0.01	13%	14 Jul →
mirage	8–13	0.00	14%	13 Jul →
nuke	13–11	-0.04	5%	13 Jul →
mirage	13–5	-0.02	14%	12 Jul →
fachwerk	8–13	-0.17	11%	12 Jul →
nuke	5–13	-0.08	12%	11 Jul →
inferno	1–13	-0.02	24%	11 Jul →
mirage	13–11	-0.04	14%	11 Jul →
nuke	6–13	-0.09	21%	10 Jul →
inferno	7–9	0.05	19%	10 Jul →
dust2	11–13	-0.11	23%	10 Jul →
nuke	6–13	0.01	23%	9 Jul →
mirage	13–1	0.03	9%	9 Jul →
nuke	11–13	0.00	12%	9 Jul →
dust2	11–13	-0.00	9%	8 Jul →
inferno	13–8	-0.00	10%	8 Jul →
inferno	12–12	-0.09	31%	8 Jul →
italy	8–13	-0.08	9%	8 Jul →
inferno	0–13	-0.10	22%	8 Jul →
nuke	13–3	-0.01	41%	8 Jul →
overpass	12–12	-0.03	12%	7 Jul →
mirage	11–13	-0.11	4%	7 Jul →
dust2	11–13	-0.09	24%	6 Jul →
inferno	12–16	-0.02	13%	4 Jul →
mirage	5–13	-0.08	0%	3 Jul →
cache	13–11	-0.08	12%	3 Jul →
inferno	12–12	-0.06	4%	3 Jul →
cache	13–10	-0.05	16%	2 Jul →
office	9–13	-0.14	43%	30 Jun →
cache	13–1	-0.04	5%	30 Jun →
alpine	13–6	-0.10	28%	30 Jun →
warden	6–13	-0.03	21%	30 Jun →
cache	12–12	-0.08	10%	27 Jun →
nuke	7–13	-0.10	17%	26 Jun →
cache	13–9	0.05	12%	26 Jun →
dust2	12–12	-0.08	27%	26 Jun →
cache	9–13	-0.07	13%	26 Jun →
inferno	3–9	-0.11	17%	25 Jun →
ancient	13–3	-0.03	20%	25 Jun →
cache	6–13	0.07	9%	25 Jun →
nuke	7–13	-0.08	9%	25 Jun →
nuke	13–6	0.23	12%	25 Jun →
mirage	13–1	0.05	10%	25 Jun →
cache	13–8	0.13	18%	25 Jun →
mirage	12–12	-0.06	13%	21 Jun →
mirage	13–7	-0.05	15%	20 Jun →
anubis	13–2	-0.08	8%	20 Jun →