Poorard — CS2 Stats

76561198081704601[U:1:121438873]

497Tracked matches52%Win rate2021Tracked since

3,801Hours in CS17Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim78

Positioning62

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY39–52–9Last 10039%Win rateWWWWLLLLWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.8

Aggression7.2

Utility5.3

Positioning6.2

Opening Duels2.6

Clutch1.8

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 ropz 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 631ms 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

Aim7.8

Positioning6.2

Utility5.3

Mechanics6.9

Opening Duels2.6

Win Impact5.6

Composite 6.2/10 (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+0.03

first ⅓ avg -0.00 → last ⅓ avg 0.03

Reaction time624ms−104ms

first ⅓ avg 728ms → last ⅓ avg 624ms

Headshot accuracy24.2%−2.7%

first ⅓ avg 26.8% → last ⅓ avg 24.2%

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

0.23Best rating — train 13–4

13–0Biggest win — nuke

4Longest win streak

W4Current streak

4–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 80% over 5fachwerkWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	10–8	56%	-0.01
inferno	D	17	5–12	29%	0.02
cache	B	14	7–7	50%	0.01
dust2	D	11	3–8	27%	0.04
train	B	11	5–6	45%	0.05
fachwerk	D	6	1–5	17%	0.04
mirage	S	5	4–1	80%	-0.01
anubis	D	5	1–4	20%	-0.02
ancient	—	2	0–2	0%	-0.04
overpass	—	2	0–2	0%	-0.03
shelter	—	2	0–2	0%	-0.03
boulder	—	2	1–1	50%	-0.00
office	—	2	1–1	50%	-0.04
alpine	—	2	0–2	0%	-0.01
italy	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Lifetime stats

97,261Lifetime kills

1.10K/D · Top 50% of tracked players

4,543Matches

44.9%Match win rate

45.5%Headshot %

17.6%Shot accuracy · Top 25% of tracked players

11,038MVPs

1,789Hours (in match)

2,289Bombs planted

965Bombs defused

Most-used weapons

AK-4730,110

M4A4 / M4A1-S14,885

AWP13,757

Desert Eagle6,680

P2000 / USP-S6,528

Glock-184,355

FAMAS2,362

P2502,323

Galil AR2,047

MAC-101,436

Lifetime map wins

3,943dust2

2,528inferno

2,120nuke

1,258train

577vertigo

441cbble

156office

52italy

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

Faceit stats

Combat

17Matches

53%Win rate

1.47Avg K/D

113.5ADR

42%Headshot %

Clutches & streaks

29%1v1 clutch win

50%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	100%	1.94	32.0
Ancient	1	100%	1.47	22.0
Inferno	1	100%	1.20	18.0

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.

24.4%Headshot accuracy

35.5%Accuracy (enemy spotted)

38.8%Spray accuracy

81.0%Counter-strafing

9.0°Preaim

631msReaction time

36.6%T opening success

44.3%CT opening success

0.50Enemies flashed / flash

5.4%Flash assists

7.18HE damage / grenade

15.82Flashes / 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 0.4999 — 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 36.5574% — below the 40% mark we flag

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
inferno	13–11	0.05	28%	27 Aug →
dust2	13–11	0.12	25%	27 Aug →
inferno	13–8	-0.03	31%	26 Aug →
inferno	13–8	-0.03	20%	23 Aug →
ancient	8–13	-0.07	19%	23 Aug →
inferno	4–13	0.08	31%	23 Aug →
inferno	8–13	-0.01	16%	23 Aug →
nuke	2–13	0.02	28%	22 Aug →
dust2	11–1	0.18	30%	22 Aug →
inferno	13–9	0.10	28%	22 Aug →
nuke	13–10	0.02	26%	21 Aug →
dust2	13–6	0.09	30%	21 Aug →
inferno	10–13	0.06	15%	21 Aug →
cache	9–13	0.01	24%	21 Aug →
dust2	9–13	-0.03	14%	21 Aug →
mirage	13–5	0.06	21%	20 Aug →
nuke	13–8	0.02	20%	20 Aug →
train	7–13	0.11	18%	20 Aug →
train	13–7	0.07	26%	18 Aug →
dust2	6–13	0.07	33%	18 Aug →
cache	9–0	-0.07	20%	18 Aug →
inferno	2–13	0.00	15%	17 Aug →
nuke	5–13	-0.04	31%	10 Aug →
mirage	13–4	-0.04	29%	10 Aug →
mirage	13–6	-0.03	22%	10 Aug →
dust2	2–9	0.04	40%	10 Aug →
train	13–9	0.08	24%	9 Aug →
inferno	12–12	0.03	31%	9 Aug →
inferno	3–13	-0.06	28%	8 Aug →
dust2	1–9	-0.06	15%	8 Aug →
cache	13–7	0.10	25%	7 Aug →
nuke	13–7	0.03	21%	6 Aug →
cache	9–13	0.01	15%	6 Aug →
cache	2–13	-0.06	14%	5 Aug →
nuke	13–4	0.07	25%	1 Aug →
inferno	7–13	-0.01	39%	1 Aug →
overpass	12–12	-0.00	20%	1 Aug →
inferno	9–13	-0.00	18%	1 Aug →
anubis	6–13	-0.05	13%	31 Jul →
nuke	7–13	-0.04	13%	31 Jul →
cache	13–4	0.14	17%	31 Jul →
dust2	11–13	-0.01	30%	31 Jul →
mirage	13–10	-0.02	24%	31 Jul →
shelter	12–12	0.00	32%	31 Jul →
fachwerk	2–13	-0.06	14%	31 Jul →
nuke	13–0	-0.01	32%	31 Jul →
inferno	13–8	0.16	22%	29 Jul →
nuke	6–13	-0.04	20%	29 Jul →
cache	5–13	0.01	15%	29 Jul →
cache	13–7	0.03	27%	28 Jul →
dust2	10–13	0.05	21%	28 Jul →
inferno	8–13	0.03	24%	28 Jul →
nuke	13–7	-0.01	21%	27 Jul →
inferno	10–13	0.09	29%	24 Jul →
cache	13–2	0.07	22%	22 Jul →
boulder	13–8	0.05	23%	22 Jul →
anubis	13–11	-0.01	14%	22 Jul →
anubis	6–13	0.01	28%	22 Jul →
anubis	8–13	-0.03	23%	22 Jul →
fachwerk	10–13	0.10	28%	21 Jul →
italy	13–6	-0.04	28%	21 Jul →
inferno	4–13	-0.03	13%	21 Jul →
dust2	9–13	-0.02	24%	21 Jul →
anubis	11–13	-0.02	27%	20 Jul →
train	6–13	-0.01	24%	20 Jul →
overpass	11–13	-0.06	20%	20 Jul →
train	6–13	0.11	23%	19 Jul →
cache	12–12	0.00	21%	16 Jul →
fachwerk	11–13	0.04	24%	16 Jul →
train	2–13	-0.02	35%	16 Jul →
nuke	13–6	0.02	22%	14 Jul →
office	5–0	0.01	71%	14 Jul →
dust2	12–12	0.04	34%	13 Jul →
cache	13–9	0.06	25%	13 Jul →
cache	11–13	-0.05	19%	13 Jul →
cache	6–13	-0.04	26%	12 Jul →
nuke	5–13	-0.05	25%	12 Jul →
inferno	5–13	-0.05	9%	12 Jul →
ancient	4–13	0.00	32%	12 Jul →
fachwerk	12–12	0.04	14%	12 Jul →
mirage	13–16	-0.00	25%	10 Jul →
fachwerk	13–11	-0.01	13%	10 Jul →
fachwerk	12–12	0.12	22%	9 Jul →
shelter	3–13	-0.07	16%	9 Jul →
boulder	5–13	-0.05	22%	9 Jul →
office	5–13	-0.09	50%	8 Jul →
alpine	9–13	-0.03	18%	8 Jul →
train	11–13	0.04	36%	7 Jul →
nuke	13–1	0.06	29%	7 Jul →
train	12–1	-0.00	16%	5 Jul →
train	13–4	0.23	22%	5 Jul →
nuke	13–10	-0.04	26%	5 Jul →
train	12–12	-0.02	28%	4 Jul →
cache	13–5	-0.01	31%	4 Jul →
nuke	12–12	-0.06	27%	4 Jul →
nuke	4–13	-0.09	18%	4 Jul →
nuke	5–13	-0.03	47%	3 Jul →
train	13–6	0.02	20%	2 Jul →
alpine	9–13	0.02	30%	2 Jul →
nuke	13–3	0.02	30%	2 Jul →