pyby — CS2 Stats

76561197979600880[U:1:19335152]

655Tracked matches46%Win rate2022Tracked since

CSDB Rating4.0 Developing

Premier CS Rating13,232Blue band · top ~37.8% of ranked players (population est.)

CSDB Leaderboard#32116 of 48877 tracked

FaceitLevel 4 · 1,139 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning51

Utility58

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLWLLTWWLL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

Aim4.1

Aggression7.3

Utility5.8

Positioning5.1

Opening Duels2.0

Clutch2.2

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 83% 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. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning5.1

Utility5.8

Mechanics3.1

Opening Duels2.0

Win Impact3.8

Composite 4.0/10 (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 time601ms−39ms

first ⅓ avg 640ms → last ⅓ avg 601ms

Headshot accuracy13.4%+1.5%

first ⅓ avg 11.8% → last ⅓ avg 13.4%

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.

Highlights

0.19Best rating — nuke 9–7

13–1Biggest win — overpass

6Longest win streak

L2Current streak

3–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 56% over 18mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	22	10–12	45%	-0.01
inferno	A	18	10–8	56%	-0.01
anubis	D	17	4–13	24%	-0.02
nuke	B	16	8–8	50%	0.00
cache	B	13	6–7	46%	-0.01
mirage	D	6	1–5	17%	0.01
dust2	B	6	3–3	50%	0.00
overpass	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

81Matches

46%Win rate

0.89Avg K/D

69.5ADR

35%Headshot %

Clutches & streaks

31%1v1 clutch win

21%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	15	53%	0.98	14.3
Nuke	12	67%	0.98	16.3
Dust2	11	18%	0.70	10.6
Inferno	9	56%	0.81	12.4
Overpass	4	75%	1.28	18.8
Anubis	4	0%	0.96	15.0
Mirage	2	50%	0.54	7.5
Cache	1	100%	0.80	12.0

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.

13.1%Headshot accuracy

34.0%Accuracy (enemy spotted)

39.8%Spray accuracy

64.1%Counter-strafing

12.9°Preaim

600msReaction time

35.8%T opening success

40.2%CT opening success

0.55Enemies flashed / flash

3.0%Flash assists

4.71HE damage / grenade

10.47Flashes / 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 12.8918° — 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 13.1274% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	-0.06	22%	28 Aug →
anubis	12–16	-0.04	7%	28 Aug →
nuke	13–10	0.01	7%	27 Aug →
nuke	10–13	0.08	19%	26 Aug →
cache	8–13	-0.01	15%	26 Aug →
mirage	15–15	-0.03	11%	24 Aug →
cache	13–9	-0.02	5%	23 Aug →
ancient	13–4	-0.03	10%	21 Aug →
ancient	5–13	-0.10	2%	20 Aug →
ancient	9–13	-0.03	16%	20 Aug →
dust2	13–3	0.02	7%	20 Aug →
ancient	13–6	0.04	11%	20 Aug →
inferno	13–11	0.02	15%	18 Aug →
inferno	13–9	-0.04	18%	18 Aug →
ancient	13–8	0.03	12%	18 Aug →
ancient	16–13	-0.00	9%	16 Aug →
nuke	5–13	-0.04	14%	16 Aug →
nuke	13–8	-0.01	8%	11 Aug →
anubis	13–3	0.09	23%	9 Aug →
anubis	3–13	-0.02	16%	9 Aug →
ancient	6–13	-0.00	7%	1 Aug →
inferno	11–13	0.00	20%	1 Aug →
cache	10–13	-0.02	5%	1 Aug →
ancient	7–13	0.01	15%	1 Aug →
anubis	7–13	-0.01	14%	1 Aug →
cache	13–7	0.02	17%	1 Aug →
cache	13–6	0.07	21%	31 Jul →
nuke	5–13	0.03	24%	31 Jul →
inferno	15–15	0.01	15%	31 Jul →
nuke	4–13	-0.08	12%	31 Jul →
inferno	13–10	-0.03	21%	31 Jul →
anubis	9–13	-0.06	14%	31 Jul →
ancient	13–16	-0.02	9%	31 Jul →
ancient	11–13	-0.04	19%	31 Jul →
cache	10–13	-0.00	21%	31 Jul →
anubis	13–6	0.03	10%	30 Jul →
nuke	14–16	-0.04	18%	30 Jul →
anubis	13–11	-0.03	7%	30 Jul →
anubis	5–13	0.02	7%	28 Jul →
ancient	11–13	0.04	6%	28 Jul →
cache	6–13	0.01	18%	28 Jul →
inferno	11–13	-0.04	2%	28 Jul →
nuke	13–5	0.05	10%	28 Jul →
cache	13–9	-0.00	21%	27 Jul →
dust2	8–13	-0.07	17%	27 Jul →
inferno	13–9	-0.02	12%	27 Jul →
anubis	8–13	-0.04	14%	27 Jul →
ancient	13–8	-0.04	3%	25 Jul →
dust2	3–13	-0.03	15%	25 Jul →
inferno	6–13	-0.07	9%	25 Jul →
nuke	13–8	-0.03	28%	25 Jul →
ancient	13–7	-0.01	13%	25 Jul →
dust2	13–8	0.01	13%	20 Jul →
nuke	9–13	0.01	9%	20 Jul →
anubis	11–13	-0.01	11%	20 Jul →
anubis	13–10	0.00	13%	19 Jul →
inferno	13–10	-0.01	18%	19 Jul →
ancient	10–13	-0.01	10%	19 Jul →
ancient	13–10	0.03	4%	19 Jul →
mirage	13–5	0.05	22%	18 Jul →
anubis	7–13	-0.05	6%	17 Jul →
ancient	13–6	0.03	5%	17 Jul →
cache	13–7	0.01	5%	17 Jul →
nuke	13–10	-0.04	20%	17 Jul →
ancient	13–7	0.00	8%	15 Jul →
cache	13–8	0.05	15%	12 Jul →
cache	1–13	-0.09	23%	10 Jul →
inferno	12–16	-0.08	21%	10 Jul →
cache	3–13	-0.06	15%	10 Jul →
ancient	9–13	-0.04	10%	7 Jul →
nuke	11–13	-0.05	3%	5 Jul →
ancient	13–5	-0.01	11%	5 Jul →
anubis	11–13	-0.02	9%	27 Jun →
mirage	7–13	0.02	3%	27 Jun →
overpass	11–13	0.00	10%	27 Jun →
inferno	13–9	-0.03	8%	27 Jun →
anubis	6–13	-0.10	4%	24 Jun →
anubis	7–13	-0.09	11%	24 Jun →
nuke	4–13	-0.01	10%	21 Jun →
ancient	11–13	-0.10	12%	18 Jun →
nuke	13–10	-0.06	9%	18 Jun →
inferno	6–13	-0.07	10%	11 Jun →
dust2	13–9	-0.01	16%	11 Jun →
overpass	13–1	0.07	11%	11 Jun →
inferno	13–8	0.01	12%	11 Jun →
mirage	8–13	0.05	22%	11 Jun →
mirage	15–15	-0.03	6%	10 Jun →
inferno	13–6	-0.04	12%	10 Jun →
ancient	10–13	-0.02	6%	10 Jun →
mirage	8–13	0.02	8%	10 Jun →
inferno	13–7	0.09	11%	10 Jun →
dust2	7–13	0.09	18%	9 Jun →
anubis	10–13	-0.07	11%	8 Jun →
nuke	13–2	0.02	5%	8 Jun →
inferno	8–13	-0.03	17%	8 Jun →
nuke	9–7	0.19	21%	6 Jun →
inferno	9–2	0.16	10%	6 Jun →
inferno	5–9	0.02	22%	6 Jun →
ancient	2–13	-0.03	32%	6 Jun →
anubis	6–13	0.03	5%	4 Jun →