BadLadChad — CS2 Stats

76561198077923010[U:1:117657282]✓ No bans

687Tracked matches37%Win rate2021Tracked since

CSDB Rating4.7 DevelopingPassive Rifler

Premier CS Rating17,545Purple band · top ~18.3% of ranked players (population est.)

FaceitLevel 5 · 1,224 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning29

Utility44

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLWLLWLTLW

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

Player DNA

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

Aim7.0

Aggression1.3

Utility4.4

Positioning2.9

Opening Duels0.0

Clutch2.8

Limited 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 NiKo 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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 41 points — deaths here waste a strong aim profile.

Reaction time. 684ms 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

Aim7.0

Positioning2.9

Utility4.4

Mechanics8.4

Opening Duels0.0

Win Impact0.7

Composite 4.7/10 (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 rating-0.05−0.05

first ⅓ avg 0.00 → last ⅓ avg -0.05

Reaction time677ms−43ms

first ⅓ avg 720ms → last ⅓ avg 677ms

Headshot accuracy23.6%−1.4%

first ⅓ avg 25.0% → last ⅓ avg 23.6%

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

0.17Best rating — ancient 13–10

13–1Biggest win — inferno

5Longest win streak

L2Current streak

6–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 67% over 12dust2Weakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	30	17–13	57%	-0.02
ancient	C	16	7–9	44%	-0.03
inferno	S	12	8–4	67%	-0.01
dust2	D	12	2–10	17%	-0.03
cache	D	6	1–5	17%	-0.07
anubis	B	6	3–3	50%	-0.02
nuke	B	6	3–3	50%	-0.06
overpass	C	5	2–3	40%	-0.05
vertigo	A	5	3–2	60%	0.01
train	—	1	0–1	0%	-0.02
thera	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

563Matches

49%Win rate

0.81Avg K/D

64.9ADR

48%Headshot %

Clutches & streaks

34%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	67	54%	0.76	11.8
Ancient	31	65%	0.70	11.5
Overpass	24	46%	0.78	12.5
Inferno	23	57%	0.81	14.1
Dust2	16	62%	0.96	14.6
Nuke	11	18%	0.59	9.9
Vertigo	8	50%	0.83	12.8
Anubis	6	67%	0.74	12.5

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.

24.9%Headshot accuracy

30.2%Accuracy (enemy spotted)

37.1%Spray accuracy

87.8%Counter-strafing

9.5°Preaim

684msReaction time

20.8%T opening success

22.8%CT opening success

0.50Enemies flashed / flash

7.6%Flash assists

9.94HE damage / grenade

4.96Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4991 — below the 0.5 mark we flag
Grenade Lineups →
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 20.7553% — 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.

17% win rate across 12 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
cache	12–16	-0.04	24%	17 Aug →
cache	10–13	-0.08	20%	14 Aug →
inferno	13–9	-0.11	11%	13 Aug →
mirage	12–16	-0.11	23%	13 Aug →
anubis	13–16	-0.06	13%	11 Aug →
mirage	13–9	-0.00	31%	11 Aug →
ancient	7–13	-0.08	19%	10 Aug →
inferno	15–15	-0.01	27%	10 Aug →
ancient	8–13	-0.07	32%	9 Aug →
inferno	13–11	-0.05	21%	9 Aug →
ancient	9–13	-0.04	15%	9 Aug →
ancient	13–5	-0.01	28%	9 Aug →
inferno	8–13	-0.06	30%	9 Aug →
mirage	6–13	-0.05	19%	9 Aug →
mirage	7–13	-0.12	18%	9 Aug →
dust2	2–13	-0.02	13%	9 Aug →
anubis	13–5	0.01	25%	9 Aug →
dust2	0–3	-0.09	0%	9 Aug →
mirage	4–13	0.03	45%	9 Aug →
nuke	3–13	-0.07	35%	9 Aug →
mirage	13–11	-0.03	24%	8 Aug →
dust2	11–13	-0.03	41%	8 Aug →
anubis	4–0	-0.05	0%	8 Aug →
cache	11–13	-0.10	24%	8 Aug →
nuke	13–6	-0.08	24%	8 Aug →
ancient	15–15	-0.05	21%	8 Aug →
mirage	15–15	-0.07	26%	8 Aug →
mirage	8–13	-0.07	27%	7 Aug →
mirage	13–10	-0.03	48%	6 Aug →
mirage	13–3	-0.00	31%	2 Aug →
dust2	6–13	0.05	23%	2 Aug →
mirage	13–5	-0.05	20%	1 Aug →
cache	9–13	-0.09	23%	1 Aug →
mirage	13–5	-0.04	20%	28 Jul →
mirage	13–11	-0.08	14%	28 Jul →
inferno	13–2	0.04	29%	28 Jul →
inferno	13–3	-0.03	15%	23 Jul →
mirage	10–13	-0.01	27%	27 Jun →
anubis	3–8	-0.05	20%	26 Jun →
ancient	6–13	-0.06	26%	26 Jun →
mirage	13–9	-0.06	50%	19 Jun →
nuke	13–2	-0.08	17%	17 Jun →
mirage	14–16	-0.06	30%	16 Jun →
mirage	0–13	-0.06	100%	16 Jun →
ancient	9–13	-0.09	31%	16 Jun →
overpass	13–2	-0.03	25%	14 Jun →
vertigo	10–13	0.02	43%	22 May →
cache	13–3	-0.07	15%	22 May →
cache	9–13	-0.06	22%	9 May →
ancient	10–13	-0.01	19%	6 Mar →
vertigo	9–0	0.00	24%	6 Mar →
dust2	6–13	-0.01	20%	23 Nov →
mirage	13–7	-0.02	26%	22 Nov →
ancient	13–9	0.07	20%	21 Nov →
train	13–16	-0.02	16%	11 Oct →
ancient	8–13	-0.02	16%	8 Oct →
mirage	16–14	-0.01	26%	30 Sept →
nuke	4–13	-0.08	30%	29 Sept →
ancient	10–13	-0.10	20%	28 Sept →
dust2	4–13	-0.07	33%	9 Sept →
mirage	7–13	-0.03	19%	7 Sept →
overpass	13–9	-0.03	25%	3 Sept →
overpass	7–13	-0.07	17%	1 Sept →
ancient	13–10	-0.04	9%	31 Aug →
ancient	13–8	-0.04	26%	28 Aug →
inferno	13–6	0.00	21%	21 Aug →
mirage	13–8	0.00	31%	13 Aug →
overpass	13–16	-0.09	21%	6 Aug →
mirage	13–9	0.01	44%	20 Jul →
ancient	8–0	-0.01	67%	20 Jul →
inferno	13–7	-0.02	29%	16 Jul →
vertigo	13–6	-0.04	20%	13 Jul →
inferno	13–1	0.06	29%	22 Apr →
nuke	9–13	-0.11	18%	13 Mar →
mirage	10–13	-0.04	20%	10 Mar →
dust2	12–16	-0.03	20%	7 Mar →
dust2	16–14	0.02	28%	30 Jul →
dust2	8–13	-0.10	15%	28 Jul →
inferno	15–15	-0.05	23%	27 Jul →
dust2	13–10	-0.01	18%	27 Jul →
inferno	13–1	0.04	18%	25 Jul →
mirage	11–13	0.01	27%	25 Jul →
ancient	13–4	-0.08	18%	24 Jul →
ancient	13–10	0.17	40%	24 Jul →
vertigo	7–13	0.05	26%	23 Jul →
mirage	13–9	-0.05	13%	23 Jul →
dust2	7–13	-0.02	13%	23 Jul →
mirage	13–10	0.02	19%	23 Jul →
inferno	6–13	0.06	31%	16 Jul →
mirage	11–13	0.04	26%	16 Jul →
nuke	13–5	0.04	40%	16 Jul →
thera	11–13	-0.07	22%	15 Jul →
anubis	11–13	0.06	38%	7 Jul →
mirage	13–4	0.10	23%	7 Jul →
mirage	13–6	0.09	20%	7 Jul →
dust2	8–13	0.02	26%	7 Jul →
vertigo	13–5	0.00	23%	9 Apr →
anubis	16–14	-0.03	15%	5 Mar →
mirage	13–7	0.07	21%	5 Mar →
overpass	3–12	-0.02	15%	4 Mar →