human — CS2 Stats

76561198376004878[U:1:415739150]✓ No bans

1,677Tracked matches43%Win rate2021Tracked since

1,728Hours in CS10Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating21,712Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	Red band median	vs Red band
Headshot rate	52.6%	47.2%	49.9%	above
Shot accuracy	7.1%	12.7%	13.4%	6.3% short
Kill/death ratio	1.25	1.09	1.12	above
Match win rate	48.9%	46.6%	48.4%	meets

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim95

Positioning55

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWLWLLWLWW

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

Player DNA

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

Aim9.5

Aggression7.9

Utility4.7

Positioning5.5

Opening Duels4.9

Clutch4.8

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 ropz 96% playstyle similarity

Most alike: opening-duel success, 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 95 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

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

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

Aim9.5

Positioning5.5

Utility4.7

Mechanics7.3

Opening Duels4.9

Win Impact2.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time520ms−10ms

first ⅓ avg 530ms → last ⅓ avg 520ms

Headshot accuracy23.2%−2.8%

first ⅓ avg 26.1% → last ⅓ avg 23.2%

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

0.20Best rating — nuke 13–2

13–1Biggest win — overpass

7Longest win streak

W2Current streak

7–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 67% over 33mirageWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	33	22–11	67%	0.05
nuke	A	18	10–8	56%	0.06
mirage	D	17	5–12	29%	0.00
inferno	C	10	4–6	40%	-0.03
anubis	S	6	4–2	67%	0.03
dust2	D	6	2–4	33%	0.00
train	—	4	3–1	75%	-0.02
overpass	—	3	2–1	67%	0.02
ancient	—	1	0–1	0%	-0.05
vertigo	—	1	0–1	0%	0.01
sanctum	—	1	1–0	100%	0.18

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,840Lifetime kills

1.25K/D · Top 25% of Pink band

2,365Matches

48.9%Match win rate · Top 50% of Pink band

52.6%Headshot % · Top 50% of Pink band

7.1%Shot accuracy

5,958MVPs

782Hours (in match)

1,440Bombs planted

643Bombs defused

Most-used weapons

AK-4718,949

M4A4 / M4A1-S8,078

Desert Eagle3,626

AWP2,810

P2000 / USP-S2,520

SSG 081,508

Glock-181,430

MP9521

Tec-9427

Galil AR414

Lifetime map wins

3,396nuke

2,931inferno

1,694dust2

1,669train

1,626vertigo

157office

27cbble

8lake

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

Faceit stats

Combat

67Matches

54%Win rate

1.40Avg K/D

99.6ADR

51%Headshot %

Clutches & streaks

44%1v1 clutch win

22%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	57%	1.34	17.7
Nuke	12	42%	1.54	20.3
Inferno	9	56%	1.48	20.1
Anubis	6	33%	0.90	17.3
Dust2	6	67%	1.32	20.0
Ancient	5	40%	1.31	20.0
Vertigo	4	75%	1.44	17.0
Overpass	2	50%	2.28	21.5

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.

24.1%Headshot accuracy

41.5%Accuracy (enemy spotted)

48.2%Spray accuracy

83.0%Counter-strafing

7.6°Preaim

522msReaction time

43.6%T opening success

55.4%CT opening success

0.61Enemies flashed / flash

4.5%Flash assists

10.00HE damage / grenade

6.82Flashes / match

Recommended for you

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.

29% win rate across 17 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
mirage	13–11	0.02	23%	29 Aug →
cache	13–7	-0.04	20%	29 Aug →
nuke	1–10	0.03	31%	29 Aug →
inferno	13–7	0.04	32%	29 Aug →
inferno	0–9	-0.32	0%	29 Aug →
nuke	2–7	-0.05	25%	28 Aug →
cache	13–4	0.04	23%	28 Aug →
mirage	8–13	0.08	24%	28 Aug →
anubis	13–6	0.06	14%	27 Aug →
nuke	13–4	0.06	32%	27 Aug →
mirage	7–13	0.01	21%	25 Aug →
inferno	4–13	-0.02	23%	25 Aug →
ancient	7–13	-0.05	10%	25 Aug →
mirage	13–7	-0.01	22%	25 Aug →
mirage	6–0	0.01	15%	25 Aug →
mirage	13–11	0.01	19%	20 Aug →
anubis	13–10	0.00	27%	19 Aug →
cache	9–13	0.04	23%	19 Aug →
nuke	10–13	0.05	24%	9 Aug →
anubis	3–13	0.06	24%	9 Aug →
cache	16–13	0.01	28%	9 Aug →
nuke	6–13	-0.05	20%	7 Aug →
dust2	13–10	0.02	29%	25 Jul →
cache	11–13	0.04	18%	25 Jul →
cache	2–13	0.00	22%	25 Jul →
mirage	8–13	-0.04	26%	24 Jul →
mirage	11–13	0.00	22%	19 Jul →
mirage	7–13	0.02	11%	18 Jul →
mirage	11–13	-0.03	33%	14 Jul →
cache	13–6	0.05	32%	14 Jul →
cache	11–13	0.08	43%	14 Jul →
nuke	13–2	0.20	42%	14 Jul →
nuke	13–3	0.11	10%	14 Jul →
nuke	6–13	0.01	15%	14 Jul →
cache	13–7	0.09	25%	14 Jul →
nuke	11–13	-0.01	24%	13 Jul →
inferno	5–13	0.07	22%	13 Jul →
anubis	6–13	0.03	18%	13 Jul →
nuke	13–6	0.01	31%	13 Jul →
mirage	6–13	-0.02	20%	13 Jul →
nuke	13–7	0.03	26%	13 Jul →
dust2	5–13	-0.05	21%	13 Jul →
cache	6–13	0.05	20%	13 Jul →
mirage	6–13	-0.07	6%	13 Jul →
dust2	10–13	0.04	11%	12 Jul →
mirage	11–13	-0.02	17%	12 Jul →
cache	13–9	0.02	15%	12 Jul →
inferno	4–2	-0.07	0%	12 Jul →
cache	13–8	0.07	18%	11 Jul →
inferno	13–11	0.08	20%	11 Jul →
cache	13–10	0.05	21%	10 Jul →
dust2	13–8	0.03	18%	10 Jul →
train	13–8	0.00	27%	20 Jun →
overpass	9–13	-0.02	18%	20 Jun →
anubis	13–6	0.05	29%	29 May →
nuke	5–13	0.06	19%	28 May →
nuke	13–2	0.20	21%	28 May →
mirage	13–4	0.01	47%	28 May →
nuke	13–10	0.05	26%	26 May →
anubis	13–9	-0.03	26%	26 May →
mirage	5–13	0.12	34%	25 May →
overpass	13–5	0.03	30%	25 May →
nuke	11–13	0.06	25%	25 May →
cache	13–7	0.06	23%	24 May →
vertigo	8–13	0.01	48%	24 May →
train	13–4	0.04	48%	24 May →
cache	13–9	-0.02	20%	24 May →
mirage	6–13	-0.03	25%	24 May →
nuke	13–2	0.19	29%	24 May →
nuke	13–2	0.15	18%	22 May →
inferno	13–6	0.02	28%	22 May →
train	3–13	-0.07	36%	21 May →
inferno	4–13	-0.09	41%	20 May →
cache	13–9	0.13	35%	15 May →
nuke	13–11	0.02	21%	10 May →
cache	6–13	0.01	19%	10 May →
inferno	8–13	-0.01	21%	8 May →
cache	13–10	-0.01	20%	8 May →
dust2	12–16	-0.05	15%	8 May →
mirage	10–13	0.02	29%	8 May →
cache	6–13	0.09	25%	8 May →
cache	13–3	0.08	24%	7 May →
cache	10–13	-0.02	33%	5 May →
train	13–11	-0.05	27%	4 May →
overpass	13–1	0.05	23%	4 May →
inferno	5–13	-0.04	19%	3 May →
cache	4–13	-0.01	19%	3 May →
cache	13–10	0.05	24%	3 May →
cache	13–10	0.01	14%	2 May →
cache	13–9	-0.01	30%	2 May →
cache	13–11	0.14	20%	2 May →
dust2	4–13	0.03	13%	1 May →
cache	13–10	0.06	32%	1 May →
cache	7–0	0.15	64%	1 May →
cache	13–2	0.09	31%	1 May →
cache	13–5	0.04	24%	30 Apr →
cache	13–5	0.17	33%	30 Apr →
sanctum	9–4	0.18	24%	30 Apr →
cache	10–13	0.04	21%	30 Apr →
cache	12–12	0.07	25%	30 Apr →