pohsm — CS2 Stats

76561199068240890[U:1:1107975162]Steam profile ↗✓ No bans

875Tracked matches70%Win rate2021Tracked since

799Hours in CS

CSDB Rating6.8 SolidAggressive Rifler

FaceitLevel 8 · 1,515 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning58

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY57–34–9Last 10057%Win rateTTWTWWWWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim8.7

Aggression7.9

Utility5.9

Positioning5.8

Opening Duels2.8

Clutch5.2

Sharp aimer

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 94% 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 87 — the mechanical foundation is a clear strength.

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

Aim8.7

Positioning5.8

Utility5.9

Mechanics8.0

Opening Duels2.8

Win Impact10.0

Composite 6.8/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time495ms−74ms

first ⅓ avg 569ms → last ⅓ avg 495ms

Headshot accuracy13.8%+0.2%

first ⅓ avg 13.6% → last ⅓ avg 13.8%

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

0.15Best rating — nuke 13–2

13–1Biggest win — dust2

7Longest win streak

8–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 89% over 9infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	40	20–20	50%	0.02
mirage	A	24	15–9	63%	0.02
ancient	S	9	8–1	89%	0.03
anubis	S	8	6–2	75%	0.00
nuke	C	7	3–4	43%	0.02
inferno	D	6	2–4	33%	0.01
cache	A	5	3–2	60%	0.02
train	—	1	0–1	0%	0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,263Lifetime kills

1.07K/D · Top 50% of tracked players

1,184Matches

51.1%Match win rate · Top 25% of tracked players

39.1%Headshot %

5.8%Shot accuracy

2,810MVPs

799Hours (in match)

1,367Bombs planted

320Bombs defused

Most-used weapons

AK-478,787

M4A4 / M4A1-S4,109

AWP2,134

P2000 / USP-S1,085

Desert Eagle954

Glock-18784

MP9717

Galil AR550

MAC-10492

Knife291

Lifetime map wins

3,884dust2

2,096inferno

1,072nuke

313train

114vertigo

7office

3lake

1safehouse

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

Faceit stats

Combat

243Matches

53%Win rate

1.17Avg K/D

87.8ADR

34%Headshot %

Clutches & streaks

46%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	70	63%	1.18	16.2
Dust2	68	57%	1.29	16.9
Inferno	26	50%	1.50	19.3
Ancient	20	35%	1.03	15.3
Nuke	18	50%	1.15	17.9
Anubis	11	55%	1.06	13.2
Cache	4	75%	1.28	15.3
Train	3	67%	1.48	22.0

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.

13.2%Headshot accuracy

42.0%Accuracy (enemy spotted)

39.2%Spray accuracy

86.0%Counter-strafing

8.9°Preaim

495msReaction time

35.6%T opening success

46.4%CT opening success

0.61Enemies flashed / flash

5.9%Flash assists

8.55HE damage / grenade

9.57Flashes / 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.

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 13.2234% — below the 15% mark we flag
Aim Training →
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 35.6333% — 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.

33% win rate across 6 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
cache	12–12	0.03	12%	26 Aug →
nuke	12–12	0.05	15%	26 Aug →
dust2	13–8	0.02	24%	26 Aug →
dust2	15–15	-0.04	14%	25 Aug →
anubis	13–6	0.03	6%	22 Aug →
ancient	13–6	0.02	6%	22 Aug →
inferno	13–3	0.01	23%	22 Aug →
dust2	13–11	0.05	11%	22 Aug →
dust2	13–9	0.03	10%	21 Aug →
anubis	8–13	-0.04	8%	21 Aug →
cache	13–11	0.09	14%	19 Aug →
dust2	4–2	0.03	15%	19 Aug →
mirage	13–3	-0.05	6%	19 Aug →
inferno	0–11	-0.04	14%	19 Aug →
mirage	13–10	0.04	17%	19 Aug →
train	1–2	0.14	40%	19 Aug →
mirage	13–9	0.02	13%	18 Aug →
cache	5–13	-0.01	12%	17 Aug →
ancient	13–8	0.00	10%	17 Aug →
dust2	13–2	0.08	4%	17 Aug →
mirage	13–3	0.08	21%	17 Aug →
anubis	13–8	-0.00	12%	17 Aug →
dust2	13–11	0.02	19%	16 Aug →
inferno	8–13	-0.01	12%	16 Aug →
cache	13–6	0.04	26%	16 Aug →
cache	13–7	-0.04	4%	16 Aug →
mirage	8–13	-0.03	8%	16 Aug →
dust2	8–13	-0.06	14%	16 Aug →
ancient	13–8	0.05	12%	13 Aug →
mirage	13–2	0.12	18%	13 Aug →
dust2	11–13	0.02	17%	13 Aug →
dust2	13–5	0.01	7%	12 Aug →
anubis	13–8	-0.02	11%	12 Aug →
nuke	13–5	0.03	15%	12 Aug →
ancient	13–6	0.02	11%	12 Aug →
mirage	13–4	0.01	12%	12 Aug →
ancient	13–11	0.01	24%	10 Aug →
mirage	13–9	-0.03	17%	10 Aug →
dust2	8–13	0.02	16%	10 Aug →
inferno	6–13	0.04	11%	7 Aug →
ancient	13–11	0.02	12%	7 Aug →
dust2	11–13	0.03	19%	7 Aug →
dust2	13–1	0.00	15%	7 Aug →
dust2	13–3	0.11	17%	6 Aug →
inferno	12–12	0.02	10%	6 Aug →
nuke	13–2	0.15	7%	6 Aug →
mirage	6–13	-0.04	13%	6 Aug →
mirage	12–12	0.06	18%	6 Aug →
dust2	13–8	0.04	21%	2 Aug →
dust2	13–9	0.03	16%	2 Aug →
anubis	13–7	-0.00	11%	29 Jul →
ancient	13–2	0.02	12%	29 Jul →
dust2	9–13	-0.04	19%	29 Jul →
dust2	13–1	0.14	14%	29 Jul →
mirage	13–7	0.01	21%	25 Jul →
mirage	13–7	0.05	12%	25 Jul →
mirage	9–13	0.05	13%	24 Jul →
nuke	13–10	-0.02	26%	24 Jul →
dust2	12–12	-0.05	8%	22 Jul →
nuke	1–8	-0.01	14%	22 Jul →
mirage	9–13	-0.01	15%	21 Jul →
dust2	11–13	-0.00	16%	21 Jul →
mirage	6–13	0.00	32%	21 Jul →
dust2	10–13	-0.00	7%	21 Jul →
ancient	15–15	0.02	12%	18 Jul →
mirage	13–6	0.03	11%	18 Jul →
dust2	11–13	0.06	21%	18 Jul →
mirage	13–8	0.07	12%	18 Jul →
mirage	7–7	0.01	22%	16 Jul →
ancient	13–1	0.14	19%	16 Jul →
dust2	11–13	-0.02	6%	15 Jul →
dust2	13–9	0.01	15%	15 Jul →
dust2	12–12	0.01	11%	15 Jul →
mirage	13–9	0.05	10%	14 Jul →
dust2	13–5	0.05	14%	14 Jul →
nuke	7–13	0.02	9%	14 Jul →
dust2	13–10	0.01	13%	14 Jul →
nuke	7–13	-0.04	8%	14 Jul →
dust2	13–8	0.02	15%	14 Jul →
dust2	12–12	0.03	8%	13 Jul →
dust2	13–4	0.05	8%	13 Jul →
dust2	6–13	-0.03	17%	13 Jul →
dust2	5–13	0.04	13%	13 Jul →
anubis	2–13	-0.06	5%	13 Jul →
dust2	8–13	0.02	7%	13 Jul →
anubis	13–11	0.00	19%	13 Jul →
anubis	13–3	0.13	9%	12 Jul →
mirage	8–13	0.05	13%	12 Jul →
dust2	13–11	0.01	17%	12 Jul →
mirage	13–11	0.04	17%	12 Jul →
mirage	13–9	0.02	21%	12 Jul →
inferno	13–3	0.06	17%	11 Jul →
dust2	13–2	0.07	17%	11 Jul →
dust2	13–16	0.00	21%	11 Jul →
mirage	13–8	0.05	9%	10 Jul →
dust2	13–10	0.01	13%	10 Jul →
dust2	13–10	-0.02	22%	10 Jul →
dust2	10–13	-0.01	9%	10 Jul →
dust2	4–13	-0.02	11%	10 Jul →
mirage	7–13	0.00	23%	10 Jul →