Pudim — CS2 Stats

76561197960775120[U:1:509392]

1,226Tracked matches43%Win rate2020Tracked since

3,067Hours in CS

CSDB Rating3.6 Learning

FaceitLevel 3 · 846 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim38

Positioning50

Utility47

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateWLLWLWLLLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.8

Aggression5.7

Utility4.7

Positioning5.0

Opening Duels1.7

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 utility contribution; 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 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.8

Positioning5.0

Utility4.7

Mechanics4.2

Opening Duels2.3

Win Impact2.6

Composite 3.6/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time652ms−18ms

first ⅓ avg 670ms → last ⅓ avg 652ms

Headshot accuracy13.2%−1.3%

first ⅓ avg 14.5% → last ⅓ avg 13.2%

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

0.10Best rating — ancient 13–10

13–2Biggest win — overpass

3Longest win streak

9–7In matches decided by ≤2 rounds

17Overtime games

Map breakdown

overpassBest map · 60% over 10anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	9–16	36%	-0.01
nuke	B	22	11–11	50%	0.01
ancient	C	19	7–12	37%	-0.01
inferno	D	14	3–11	21%	-0.01
overpass	A	10	6–4	60%	0.00
anubis	D	5	1–4	20%	-0.01
dust2	—	3	1–2	33%	-0.02
cache	—	1	1–0	100%	-0.00
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

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

Lifetime stats

135,453Lifetime kills

0.95K/D

6,191Matches

40.0%Match win rate

38.5%Headshot %

18.2%Shot accuracy · Top 10% of tracked players

13,368MVPs

3,067Hours (in match)

7,427Bombs planted

1,750Bombs defused

Most-used weapons

AK-4740,979

M4A4 / M4A1-S33,649

P2000 / USP-S9,024

AWP8,975

Desert Eagle4,672

Galil AR3,794

Glock-183,553

UMP-453,099

P2503,065

MAC-102,662

Lifetime map wins

10,763inferno

6,442train

6,051vertigo

4,555nuke

4,136dust2

327cbble

102lake

51office

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

Faceit stats

Combat

124Matches

48%Win rate

1.11Avg K/D

68.0ADR

34%Headshot %

Clutches & streaks

44%1v1 clutch win

27%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	57%	0.87	11.3
Overpass	3	67%	1.06	21.7
Nuke	3	33%	0.92	15.0
Anubis	2	50%	1.06	14.0
Ancient	2	50%	0.97	10.0
Dust2	2	50%	1.10	10.5
Inferno	1	100%	0.88	15.0
Vertigo	1	0%	1.86	13.0

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.

13.5%Headshot accuracy

34.0%Accuracy (enemy spotted)

35.1%Spray accuracy

69.0%Counter-strafing

12.4°Preaim

655msReaction time

25.2%T opening success

48.2%CT opening success

0.36Enemies flashed / flash

3.9%Flash assists

9.13HE damage / grenade

7.73Flashes / 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 12.3712° — 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 13.4687% — below the 15% mark we flag
Aim Training →
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 0.3558 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.00	19%	5 Aug →
dust2	10–13	-0.03	8%	5 Aug →
mirage	9–13	-0.04	19%	4 Aug →
nuke	13–7	0.00	29%	28 Jul →
nuke	10–13	0.02	7%	28 Jul →
inferno	13–6	0.09	14%	28 Jul →
inferno	1–13	-0.06	13%	20 Jul →
nuke	13–16	-0.00	10%	18 Jul →
mirage	14–16	0.05	21%	18 Jul →
ancient	5–13	-0.09	18%	17 Jul →
mirage	15–15	-0.00	16%	16 Jul →
nuke	9–13	0.04	13%	16 Jul →
ancient	13–10	0.04	14%	16 Jul →
nuke	7–13	-0.01	6%	16 Jul →
anubis	9–13	-0.02	18%	16 Jul →
mirage	13–11	0.04	14%	15 Jul →
cache	13–9	-0.00	6%	8 Jul →
nuke	19–15	0.02	20%	8 Jul →
inferno	8–13	-0.05	9%	8 Jul →
nuke	13–5	0.02	15%	6 Jul →
inferno	13–10	-0.01	7%	5 Jul →
nuke	13–8	0.02	7%	4 Jul →
mirage	15–15	-0.03	10%	4 Jul →
mirage	13–4	0.01	15%	4 Jul →
nuke	6–13	-0.04	15%	30 Jun →
inferno	13–3	0.01	10%	30 Jun →
mirage	7–13	0.03	17%	30 Jun →
inferno	10–13	-0.03	13%	30 Jun →
nuke	11–13	0.03	3%	25 Jun →
nuke	5–13	0.04	11%	25 Jun →
mirage	3–13	-0.03	14%	25 Jun →
anubis	15–15	0.03	9%	11 May →
mirage	11–13	0.03	11%	3 May →
ancient	15–15	-0.00	16%	3 May →
mirage	15–15	-0.01	13%	30 Apr →
dust2	11–13	-0.04	16%	30 Apr →
mirage	16–14	0.01	14%	26 Apr →
ancient	13–10	0.10	17%	26 Apr →
ancient	13–16	-0.00	10%	16 Apr →
nuke	13–6	0.07	16%	16 Apr →
ancient	13–6	-0.02	9%	16 Apr →
ancient	6–13	-0.04	13%	11 Apr →
nuke	13–11	-0.04	4%	11 Apr →
overpass	13–11	0.01	19%	11 Apr →
ancient	8–13	-0.01	21%	31 Mar →
nuke	13–16	-0.01	11%	31 Mar →
ancient	8–13	-0.10	3%	31 Mar →
anubis	14–16	0.00	13%	30 Mar →
ancient	9–13	-0.03	21%	29 Mar →
overpass	8–13	0.02	8%	29 Mar →
anubis	9–13	-0.07	21%	29 Mar →
mirage	8–13	-0.07	9%	28 Mar →
inferno	8–12	0.01	12%	26 Mar →
inferno	3–13	-0.04	11%	25 Mar →
anubis	13–10	0.02	8%	15 Mar →
overpass	23–25	-0.04	15%	15 Mar →
ancient	8–13	0.03	23%	7 Mar →
nuke	13–4	0.02	12%	7 Mar →
inferno	15–15	-0.01	13%	7 Mar →
mirage	13–5	0.04	6%	26 Feb →
mirage	13–11	-0.05	16%	26 Feb →
overpass	13–10	-0.04	10%	26 Feb →
overpass	9–13	-0.01	12%	18 Feb →
mirage	9–13	-0.03	24%	18 Feb →
ancient	6–13	-0.07	12%	12 Feb →
ancient	13–4	0.05	7%	12 Feb →
overpass	13–2	-0.00	15%	12 Feb →
mirage	9–13	-0.04	13%	12 Feb →
nuke	4–0	-0.03	0%	12 Feb →
inferno	3–13	-0.03	30%	5 Feb →
mirage	4–13	-0.07	18%	5 Feb →
overpass	13–10	0.05	25%	4 Feb →
overpass	13–11	0.02	19%	30 Jan →
nuke	6–13	-0.01	11%	30 Jan →
ancient	13–2	0.07	10%	29 Jan →
mirage	13–11	-0.01	5%	29 Jan →
mirage	10–13	-0.03	14%	29 Jan →
inferno	5–13	-0.02	19%	29 Jan →
inferno	10–13	0.02	8%	25 Jan →
mirage	13–3	0.08	17%	25 Jan →
ancient	4–13	-0.08	4%	25 Jan →
ancient	13–10	-0.01	8%	24 Jan →
mirage	7–13	-0.04	4%	24 Jan →
ancient	15–15	-0.02	20%	23 Jan →
mirage	19–17	-0.07	16%	21 Jan →
dust2	13–3	0.00	15%	21 Jan →
mirage	6–13	0.06	19%	20 Jan →
inferno	11–13	-0.03	11%	19 Jan →
train	13–4	0.06	13%	19 Jan →
nuke	13–2	0.02	12%	19 Jan →
ancient	13–10	0.02	24%	19 Jan →
mirage	4–13	-0.11	12%	15 Jan →
inferno	4–13	-0.02	20%	14 Jan →
nuke	13–7	0.03	14%	13 Jan →
ancient	15–15	-0.01	16%	19 Dec →
nuke	13–6	0.01	14%	19 Dec →
overpass	13–10	0.02	17%	19 Dec →
nuke	9–13	-0.01	20%	19 Dec →
overpass	6–13	-0.01	18%	17 Dec →
nuke	9–13	-0.03	11%	17 Dec →