wise baldie — CS2 Stats

76561198422682714[U:1:462416986]

141Tracked matches53%Win rate2026Tracked since

362Hours in CS

CSDB Rating6.1 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim74

Positioning53

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWLLLWWLWL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.4

Aggression7.3

Utility5.1

Positioning5.3

Opening Duels3.9

Clutch6.6

Strong CT-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.

Your pro match

Plays most like ropz 91% 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

T-side openings. Opening success drops from 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim7.4

Positioning5.3

Utility5.1

Mechanics6.9

Opening Duels3.9

Win Impact6.1

Composite 6.1/10 (Solid), 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 rating0.03+0.04

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time625ms−61ms

first ⅓ avg 686ms → last ⅓ avg 625ms

Headshot accuracy20.6%−1.2%

first ⅓ avg 21.9% → last ⅓ avg 20.6%

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

0.25Best rating — mirage 13–5

13–0Biggest win — nuke

7Longest win streak

W2Current streak

8–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 57% over 37infernoWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	37	21–16	57%	0.01
mirage	B	30	15–15	50%	-0.00
inferno	D	13	3–10	23%	-0.03
nuke	C	9	4–5	44%	-0.02
anubis	—	3	1–2	33%	0.02
overpass	—	3	3–0	100%	0.04
office	—	3	1–2	33%	0.07
cache	—	1	0–1	0%	0.07
ancient	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,655Lifetime kills

1.53K/D · Top 5% of tracked players

540Matches

44.3%Match win rate

60.3%Headshot % · Top 10% of tracked players

8.3%Shot accuracy

762MVPs

362Hours (in match)

335Bombs planted

69Bombs defused

Most-used weapons

AK-474,789

M4A4 / M4A1-S1,380

Negev1,250

M249906

Desert Eagle901

AWP870

P2000 / USP-S426

Glock-18313

Galil AR253

XM1014218

Lifetime map wins

1,333dust2

488inferno

253nuke

74office

26train

26vertigo

5lake

2ar_baggage

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

Faceit stats

Combat

48Matches

40%Win rate

0.88Avg K/D

75.1ADR

51%Headshot %

Clutches & streaks

53%1v1 clutch win

21%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	33%	0.91	16.3
Dust2	13	46%	0.80	13.2
Inferno	7	57%	0.99	16.4
Anubis	6	17%	0.96	17.2
Nuke	4	50%	0.81	12.3
Cache	2	50%	0.72	11.5
Ancient	1	0%	0.88	14.0

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.

19.8%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.3%Spray accuracy

81.0%Counter-strafing

9.3°Preaim

629msReaction time

34.7%T opening success

56.1%CT opening success

0.54Enemies flashed / flash

3.5%Flash assists

3.69HE damage / grenade

11.78Flashes / 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 34.7377% — below the 40% mark we flag

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.

23% win rate across 13 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
mirage	13–11	0.04	16%	22 Aug →
mirage	13–9	0.02	18%	21 Aug →
dust2	11–13	0.01	14%	17 Aug →
mirage	7–13	-0.04	9%	15 Aug →
mirage	2–13	0.06	28%	15 Aug →
mirage	13–5	0.25	18%	14 Aug →
dust2	13–6	0.08	29%	14 Aug →
mirage	10–13	-0.01	21%	14 Aug →
dust2	7–1	0.10	24%	13 Aug →
mirage	1–5	-0.11	25%	13 Aug →
mirage	10–13	-0.02	19%	11 Aug →
dust2	13–7	-0.01	25%	11 Aug →
dust2	13–3	0.09	24%	9 Aug →
dust2	13–7	0.13	21%	9 Aug →
nuke	16–13	0.06	15%	9 Aug →
dust2	6–13	-0.00	27%	9 Aug →
dust2	13–5	-0.04	24%	8 Aug →
dust2	13–5	0.02	18%	4 Aug →
mirage	4–13	-0.06	17%	3 Aug →
mirage	11–13	-0.03	7%	29 Jul →
dust2	13–4	0.07	22%	29 Jul →
inferno	16–13	0.05	11%	28 Jul →
dust2	13–1	0.09	25%	28 Jul →
cache	6–13	0.07	25%	28 Jul →
mirage	13–10	0.12	24%	21 Jul →
dust2	13–11	0.05	15%	21 Jul →
anubis	7–13	-0.00	18%	18 Jul →
mirage	8–13	-0.03	30%	18 Jul →
inferno	3–13	-0.07	21%	18 Jul →
mirage	2–10	0.02	33%	13 Jul →
inferno	3–13	-0.11	21%	13 Jul →
mirage	13–10	-0.01	23%	9 Jul →
dust2	13–8	0.06	15%	8 Jul →
inferno	6–9	-0.10	20%	6 Jul →
dust2	13–6	0.01	18%	5 Jul →
anubis	8–13	0.05	14%	1 Jul →
dust2	13–4	-0.08	31%	1 Jul →
mirage	11–13	0.03	11%	30 Jun →
mirage	13–2	0.06	23%	29 Jun →
dust2	13–6	0.02	26%	25 Jun →
dust2	3–13	-0.07	17%	22 Jun →
overpass	13–6	0.07	34%	22 Jun →
dust2	9–13	-0.01	22%	21 Jun →
mirage	13–3	-0.00	15%	21 Jun →
inferno	15–15	0.00	23%	19 Jun →
dust2	9–13	0.01	31%	18 Jun →
dust2	13–11	0.01	33%	16 Jun →
dust2	16–14	-0.01	26%	15 Jun →
mirage	13–5	-0.01	24%	15 Jun →
overpass	13–4	0.03	25%	13 Jun →
dust2	13–2	-0.00	21%	13 Jun →
nuke	7–13	-0.03	16%	12 Jun →
dust2	16–12	-0.03	30%	12 Jun →
inferno	6–13	-0.09	29%	12 Jun →
dust2	13–11	0.06	30%	7 Jun →
overpass	16–12	0.03	25%	4 Jun →
dust2	8–13	-0.02	23%	4 Jun →
dust2	12–16	-0.01	20%	3 Jun →
inferno	6–13	-0.03	33%	3 Jun →
inferno	13–16	-0.02	38%	31 May →
mirage	13–11	-0.07	19%	31 May →
inferno	13–11	0.02	24%	23 May →
inferno	10–13	-0.03	20%	23 May →
dust2	10–13	-0.04	27%	23 May →
nuke	7–13	-0.03	18%	23 May →
dust2	8–13	0.04	30%	22 May →
dust2	3–13	-0.09	20%	22 May →
mirage	10–13	0.02	12%	22 May →
dust2	13–9	-0.02	27%	21 May →
nuke	4–13	-0.07	50%	21 May →
mirage	6–9	-0.04	19%	21 May →
dust2	8–13	-0.03	30%	21 May →
dust2	4–13	-0.03	25%	21 May →
ancient	9–13	-0.01	12%	18 May →
dust2	2–13	-0.07	17%	17 May →
dust2	12–12	0.03	22%	17 May →
mirage	13–2	0.10	18%	17 May →
mirage	13–8	-0.08	36%	17 May →
office	12–12	-0.03	20%	17 May →
inferno	11–13	-0.03	19%	16 May →
dust2	12–12	0.08	25%	16 May →
dust2	13–11	-0.03	22%	16 May →
office	13–9	0.01	19%	15 May →
office	10–13	0.23	24%	14 May →
mirage	13–4	-0.01	14%	12 May →
mirage	13–7	-0.00	22%	12 May →
nuke	13–0	-0.01	0%	9 May →
mirage	13–0	-0.04	100%	9 May →
nuke	13–0	0.00	0%	9 May →
inferno	13–0	-0.01	0%	9 May →
anubis	13–2	0.01	43%	8 May →
mirage	8–13	-0.11	11%	8 May →
mirage	11–13	-0.03	13%	8 May →
nuke	7–13	-0.06	18%	7 May →
mirage	4–13	-0.04	10%	7 May →
nuke	9–13	0.01	13%	6 May →
mirage	3–13	-0.03	20%	6 May →
nuke	13–5	-0.02	12%	6 May →
inferno	6–13	0.05	29%	6 May →
dust2	3–13	-0.05	20%	5 May →