WHALE_PIGEON — CS2 Stats

76561198113492047[U:1:153226319]

2,210Tracked matches63%Win rate2020Tracked since

7,400Hours in CS3Hrs last 2 wks

CSDB Rating8.3 StrongAggressive Rifler

Premier CS Rating27,602Top 10% of 819 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#387 of 9834 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning76

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY63–29–8Last 10063%Win rateLWWLLLWWWW

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

Player DNA

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

Aim9.3

Aggression10.0

Utility6.0

Positioning7.6

Opening Duels5.7

Clutch2.0

Sharp aimerStrong CT-side openerLimited 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 sh1ro 96% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.3

Positioning7.6

Utility6.0

Mechanics8.1

Opening Duels5.7

Win Impact9.3

Composite 8.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time517ms+34ms

first ⅓ avg 483ms → last ⅓ avg 517ms

Headshot accuracy19.9%+6.4%

first ⅓ avg 13.5% → last ⅓ avg 19.9%

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

0.18Best rating — nuke 13–3

13–0Biggest win — ancient

10Longest win streak

7–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 75% over 16cacheWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	22	15–7	68%	0.05
ancient	S	16	12–4	75%	0.06
mirage	B	14	7–7	50%	0.03
anubis	S	14	10–4	71%	0.04
inferno	A	13	8–5	62%	0.06
cache	C	10	4–6	40%	0.05
overpass	B	8	4–4	50%	0.05
nuke	—	3	3–0	100%	0.08

Across the last 100 tracked matches.

Lifetime stats

642,452Lifetime kills

4.92K/D · Top 1% of tracked players

4,147Matches

56.4%Match win rate · Top 5% of tracked players

80.2%Headshot % · Top 1% of tracked players

16.3%Shot accuracy · Top 25% of tracked players

14,345MVPs

3,156Hours (in match)

5,942Bombs planted

1,387Bombs defused

Most-used weapons

AK-47457,390

M4A4 / M4A1-S70,648

P2000 / USP-S25,208

Desert Eagle16,855

AWP14,191

Glock-188,712

P2506,637

Five-SeveN5,194

FAMAS4,683

P904,656

Lifetime map wins

15,302dust2

11,724inferno

5,071nuke

1,725train

1,315vertigo

754cbble

127office

62italy

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

Faceit stats

Combat

375Matches

53%Win rate

1.19Avg K/D

92.1ADR

46%Headshot %

Clutches & streaks

30%1v1 clutch win

31%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	34	76%	1.40	19.6
Anubis	32	50%	1.10	18.9
Ancient	26	42%	1.07	17.3
Dust2	20	65%	1.24	19.9
Overpass	13	62%	1.14	19.3
Mirage	12	42%	1.10	18.0
Nuke	5	40%	1.16	18.6
Vertigo	3	33%	0.89	17.7

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.

19.9%Headshot accuracy

40.7%Accuracy (enemy spotted)

42.7%Spray accuracy

86.6%Counter-strafing

7.9°Preaim

503msReaction time

44.8%T opening success

60.9%CT opening success

0.46Enemies flashed / flash

12.5%Flash assists

14.82HE damage / grenade

4.71Flashes / 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 0.4601 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	0.03	20%	16 Aug →
inferno	13–7	0.10	24%	16 Aug →
ancient	13–10	0.12	32%	16 Aug →
cache	9–13	0.08	22%	2 Aug →
mirage	6–13	0.05	16%	2 Aug →
mirage	9–13	-0.01	29%	29 Jun →
anubis	6–4	0.02	19%	28 Jun →
inferno	13–8	0.10	13%	28 Jun →
ancient	13–6	0.18	16%	14 Jun →
anubis	13–9	0.05	11%	14 Jun →
cache	10–13	0.04	22%	14 Jun →
ancient	13–5	0.07	13%	13 Jun →
cache	13–9	0.04	16%	13 Jun →
overpass	1–9	-0.06	17%	13 Jun →
cache	6–13	0.03	17%	3 May →
cache	12–12	0.12	21%	3 May →
cache	6–13	0.06	25%	3 May →
dust2	13–8	0.08	24%	2 May →
ancient	13–1	0.04	25%	2 May →
cache	13–5	0.15	20%	2 May →
anubis	13–8	0.05	20%	2 May →
cache	13–8	-0.06	23%	2 May →
overpass	16–19	0.02	28%	2 May →
cache	13–7	0.06	11%	30 Apr →
cache	12–12	-0.00	26%	29 Apr →
mirage	16–13	0.03	12%	20 Apr →
mirage	0–3	-0.08	43%	20 Apr →
ancient	16–14	0.09	17%	20 Apr →
overpass	13–2	0.07	15%	19 Apr →
ancient	12–12	0.09	14%	19 Apr →
dust2	9–13	0.01	22%	15 Apr →
anubis	13–7	-0.00	9%	12 Apr →
dust2	13–4	0.01	15%	12 Apr →
mirage	11–13	0.01	12%	11 Apr →
dust2	13–6	0.17	23%	4 Apr →
inferno	13–8	0.06	18%	4 Apr →
dust2	13–1	-0.03	19%	1 Apr →
ancient	13–8	0.15	27%	31 Mar →
dust2	13–2	0.17	35%	31 Mar →
dust2	13–6	0.17	19%	31 Mar →
nuke	13–3	0.18	19%	31 Mar →
mirage	13–7	0.06	29%	30 Mar →
dust2	13–11	0.09	13%	29 Mar →
overpass	13–10	0.08	13%	29 Mar →
anubis	11–13	0.05	11%	29 Mar →
dust2	13–6	0.14	21%	29 Mar →
ancient	13–6	0.01	21%	29 Mar →
anubis	15–15	0.07	14%	15 Mar →
mirage	13–6	0.08	10%	15 Mar →
mirage	13–11	0.06	13%	15 Mar →
nuke	13–10	-0.02	9%	28 Feb →
dust2	13–1	0.09	17%	16 Feb →
inferno	15–15	-0.01	10%	16 Feb →
overpass	11–13	0.07	17%	15 Feb →
anubis	6–0	0.01	22%	15 Feb →
mirage	13–10	0.02	12%	15 Feb →
inferno	13–6	0.12	9%	15 Feb →
ancient	5–13	0.01	6%	15 Feb →
inferno	8–11	0.16	11%	15 Feb →
inferno	13–9	0.06	12%	15 Feb →
mirage	9–13	0.03	16%	15 Feb →
dust2	8–13	-0.01	13%	15 Feb →
anubis	13–6	0.04	13%	14 Feb →
overpass	13–10	0.13	12%	14 Feb →
ancient	7–3	-0.02	19%	14 Feb →
dust2	9–3	0.03	33%	14 Feb →
mirage	13–10	0.09	16%	14 Feb →
inferno	9–13	0.02	18%	14 Feb →
ancient	9–13	0.06	14%	7 Feb →
mirage	13–10	0.05	13%	7 Feb →
inferno	13–9	0.09	13%	7 Feb →
dust2	13–6	0.02	11%	2 Feb →
ancient	13–2	0.04	12%	1 Feb →
ancient	15–15	0.02	16%	1 Feb →
dust2	13–2	0.01	13%	1 Feb →
overpass	13–6	0.03	7%	29 Jan →
ancient	9–2	0.07	13%	29 Jan →
anubis	13–3	0.05	14%	29 Jan →
inferno	5–13	-0.03	20%	25 Jan →
anubis	13–8	0.06	12%	25 Jan →
dust2	10–13	-0.01	6%	25 Jan →
dust2	13–11	-0.02	14%	24 Jan →
inferno	13–7	-0.04	15%	24 Jan →
inferno	13–3	0.07	20%	24 Jan →
mirage	5–13	0.02	14%	24 Jan →
anubis	8–13	-0.00	12%	18 Jan →
dust2	8–13	-0.02	12%	18 Jan →
nuke	13–5	0.07	18%	18 Jan →
inferno	11–13	0.04	17%	18 Jan →
dust2	4–13	0.01	15%	18 Jan →
anubis	12–12	0.07	10%	17 Jan →
mirage	6–13	0.00	3%	17 Jan →
dust2	13–11	0.02	8%	17 Jan →
anubis	13–9	0.07	15%	17 Jan →
overpass	12–12	0.07	13%	17 Jan →
dust2	9–13	0.05	16%	17 Jan →
ancient	13–0	0.04	13%	17 Jan →
anubis	13–3	0.01	20%	15 Jan →
dust2	13–11	0.01	16%	15 Jan →
ancient	13–7	0.01	12%	15 Jan →