August 2727 — CS2 Stats

76561199627015713[U:1:1666749985]Steam profile ↗✓ No bans

1,920Tracked matches53%Win rate2024Tracked since

34,163Hours in CS

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating24,024Top 50% of 819 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#3679 of 17845 tracked

FaceitLevel 10 · 2,391 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	Level 10 median
Headshot rate	69.2%	52.8%
Shot accuracy	0.0%	13.7%
Kill/death ratio	1.34	1.08
Match win rate	51.9%	49.2%

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Performance scores

Aim83

Positioning54

Utility53

0–100 skill scores via Leetify.

Recent form

COLD51–43–6Last 10051%Win rateLWLWLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.3

Aggression5.1

Utility5.3

Positioning5.4

Opening Duels2.5

Clutch4.0

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 93% playstyle similarity

Most alike: opening-fight frequency, 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

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

Aim8.3

Positioning5.4

Utility5.3

Mechanics7.9

Opening Duels2.5

Win Impact6.1

Composite 6.5/10 (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 rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time526ms−7ms

first ⅓ avg 533ms → last ⅓ avg 526ms

Headshot accuracy22.9%−0.2%

first ⅓ avg 23.1% → last ⅓ avg 22.9%

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

0.55Best rating — nuke 9–0

13–0Biggest win — dust2

8Longest win streak

6–2In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 69% over 13infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	17	9–8	53%	0.04
nuke	A	17	10–7	59%	0.09
cache	S	13	9–4	69%	0.05
dust2	B	12	6–6	50%	0.03
inferno	D	11	3–8	27%	-0.00
ancient	C	11	4–7	36%	0.07
anubis	C	9	4–5	44%	0.01
overpass	—	4	3–1	75%	0.15
vertigo	—	3	1–2	33%	0.05
debris	—	2	1–1	50%	0.07
poseidon	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

172,299Lifetime kills

1.34K/D · Top 25% of Level 10 players

2,417Matches

51.9%Match win rate · Top 50% of Level 10 players

69.2%Headshot % · Top 10% of Level 10 players

0.0%Shot accuracy

12,451MVPs

34,163Hours (in match)

1,477Bombs planted

3,069Bombs defused

Most-used weapons

AK-47105,008

M4A4 / M4A1-S19,988

Desert Eagle18,424

P2000 / USP-S10,032

AWP5,421

Glock-182,966

Galil AR1,763

MP91,471

Knife1,009

SSG 08931

Lifetime map wins

4,208dust2

4,144inferno

3,758nuke

2,434vertigo

487train

42office

12safehouse

2italy

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

Faceit stats

Combat

864Matches

53%Win rate

1.17Avg K/D

84.8ADR

53%Headshot %

Clutches & streaks

40%1v1 clutch win

29%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	304	52%	1.19	17.3
Ancient	168	62%	1.26	18.4
Dust2	150	53%	1.12	16.7
Anubis	81	41%	1.04	16.2
Inferno	55	51%	1.16	16.0
Vertigo	43	56%	1.22	19.6
Nuke	35	57%	1.20	17.3
Cache	12	42%	1.17	17.3

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.

22.4%Headshot accuracy

33.6%Accuracy (enemy spotted)

37.1%Spray accuracy

85.5%Counter-strafing

8.7°Preaim

539msReaction time

38.6%T opening success

41.3%CT opening success

0.60Enemies flashed / flash

5.2%Flash assists

3.23HE damage / grenade

13.73Flashes / 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
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 38.63% — 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.

27% win rate across 11 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
anubis	9–13	-0.03	24%	26 Aug →
mirage	13–5	0.18	32%	24 Aug →
cache	10–13	-0.04	17%	23 Aug →
dust2	13–8	0.10	23%	18 Aug →
anubis	11–13	-0.04	22%	17 Aug →
anubis	9–13	0.05	24%	12 Aug →
anubis	8–13	0.03	22%	10 Aug →
nuke	7–9	0.06	32%	10 Aug →
debris	4–9	-0.12	43%	10 Aug →
poseidon	9–5	0.09	21%	10 Aug →
inferno	4–9	-0.21	25%	9 Aug →
debris	9–1	0.26	24%	9 Aug →
ancient	1–13	0.12	24%	9 Aug →
cache	13–10	-0.01	23%	31 Jul →
cache	13–5	-0.02	23%	30 Jul →
dust2	9–13	0.06	15%	29 Jul →
cache	13–6	0.06	17%	28 Jul →
anubis	13–2	0.08	18%	27 Jul →
nuke	10–13	0.02	30%	27 Jul →
mirage	13–4	0.08	35%	27 Jul →
mirage	0–13	-0.01	0%	25 Jul →
dust2	13–0	0.01	23%	25 Jul →
nuke	13–6	0.12	25%	24 Jul →
nuke	13–2	0.00	14%	24 Jul →
ancient	13–5	0.11	22%	23 Jul →
anubis	13–2	0.03	19%	21 Jul →
mirage	13–1	0.05	17%	21 Jul →
mirage	13–5	0.09	28%	20 Jul →
dust2	10–13	-0.01	20%	19 Jul →
dust2	5–13	-0.04	20%	19 Jul →
mirage	13–11	-0.01	27%	19 Jul →
dust2	13–9	-0.06	22%	19 Jul →
nuke	2–13	-0.03	26%	18 Jul →
mirage	13–16	0.07	21%	17 Jul →
ancient	9–13	0.01	23%	17 Jul →
cache	6–13	0.04	34%	17 Jul →
nuke	0–13	-0.00	33%	17 Jul →
cache	13–0	-0.00	50%	17 Jul →
mirage	15–15	-0.08	25%	16 Jul →
nuke	13–10	0.07	20%	16 Jul →
cache	16–14	0.07	19%	16 Jul →
anubis	13–7	-0.03	43%	7 Jul →
mirage	13–10	-0.01	21%	6 Jul →
dust2	13–4	0.12	37%	2 Jul →
nuke	13–4	0.16	21%	2 Jul →
cache	13–3	0.28	23%	1 Jul →
ancient	13–11	0.01	33%	30 Jun →
dust2	9–13	0.09	30%	30 Jun →
dust2	19–16	0.05	26%	27 Jun →
nuke	13–7	-0.02	26%	24 Jun →
mirage	6–13	-0.04	12%	22 Jun →
inferno	5–9	-0.03	10%	20 Jun →
inferno	9–7	0.08	23%	19 Jun →
nuke	9–5	0.13	17%	19 Jun →
overpass	9–1	0.32	21%	19 Jun →
nuke	9–0	0.55	23%	19 Jun →
inferno	9–3	0.27	25%	17 Jun →
inferno	9–5	0.14	19%	15 Jun →
mirage	6–13	0.06	37%	10 Jun →
ancient	7–13	0.04	47%	10 Jun →
inferno	3–13	0.02	28%	9 Jun →
anubis	13–6	0.02	17%	9 Jun →
dust2	4–13	-0.03	18%	8 Jun →
ancient	2–13	-0.01	36%	8 Jun →
mirage	13–10	0.09	27%	8 Jun →
overpass	6–9	0.11	15%	6 Jun →
ancient	10–13	0.07	20%	5 Jun →
nuke	13–5	0.09	18%	4 Jun →
dust2	16–14	0.05	31%	4 Jun →
overpass	16–13	0.17	27%	4 Jun →
anubis	1–13	0.00	24%	4 Jun →
dust2	10–13	0.05	32%	3 Jun →
ancient	13–10	0.14	22%	3 Jun →
mirage	12–16	0.07	28%	2 Jun →
ancient	15–15	0.08	28%	2 Jun →
mirage	7–13	0.02	31%	2 Jun →
ancient	13–2	0.10	19%	31 May →
inferno	2–9	-0.08	19%	31 May →
inferno	3–9	-0.01	15%	31 May →
inferno	2–9	-0.11	21%	31 May →
ancient	9–13	0.10	25%	31 May →
nuke	15–15	0.07	15%	31 May →
nuke	8–8	0.12	11%	31 May →
nuke	9–3	0.10	19%	30 May →
mirage	9–13	0.05	29%	30 May →
vertigo	6–9	-0.13	15%	25 May →
nuke	8–8	0.01	14%	25 May →
nuke	13–11	0.13	18%	24 May →
mirage	13–6	0.02	14%	24 May →
cache	7–13	-0.06	21%	24 May →
inferno	6–9	-0.01	16%	24 May →
vertigo	9–2	0.23	23%	24 May →
cache	12–12	0.04	27%	22 May →
cache	7–4	0.13	26%	22 May →
cache	13–1	0.08	28%	22 May →
cache	13–7	0.12	30%	22 May →
mirage	13–8	0.04	31%	22 May →
vertigo	6–9	0.05	17%	21 May →
overpass	9–4	0.01	30%	21 May →
inferno	5–9	-0.11	35%	21 May →