1001 — CS2 Stats

76561198079861042[U:1:119595314]Steam profile ↗✓ No bans

5,699Tracked matches63%Win rate2020Tracked since

8,289Hours in CS

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating26,259Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#2577 of 34907 tracked

FaceitLevel 10 · 2,443 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

26,259Peak Premier on CSDB

2,443Peak Faceit ELO on CSDB

1Days observed since 2026-08-29

Faceit ELO

At peak — 2,443
Next: 2,500 ELO at 2,500 — 57 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-29
Level 9 first seen 2026-08-29

Premier CS Rating

At peak — 26,259
Next: Gold band at 30,000 — 3,741 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-29
Pink band first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	55.9%	52.0%
Shot accuracy	13.5%	13.7%
Kill/death ratio	0.99	1.08
Match win rate	50.0%	48.8%

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Performance scores

Aim86

Positioning48

Utility43

0–100 skill scores via Leetify.

Recent form

HOT57–41–2Last 10057%Win rateWLWWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.04 avg rating

Player DNA

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

Aim8.6

Aggression5.1

Utility4.3

Positioning4.8

Opening Duels1.1

Clutch3.0

Sharp aimerLimited 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 NiKo 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower 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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 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.

Reaction time. 551ms 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

Aim8.6

Positioning4.8

Utility4.3

Mechanics7.1

Opening Duels1.4

Win Impact9.4

Composite 6.6/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time553ms−6ms

first ⅓ avg 559ms → last ⅓ avg 553ms

Headshot accuracy29.3%−4.3%

first ⅓ avg 33.6% → last ⅓ avg 29.3%

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

0.22Best rating — mirage 2–0

13–0Biggest win — dust2

8Longest win streak

7–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 66% over 29infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	29	19–10	66%	0.02
dust2	A	27	15–12	56%	0.01
anubis	B	15	7–8	47%	0.00
cache	A	10	6–4	60%	0.01
inferno	D	9	3–6	33%	-0.01
ancient	A	8	5–3	63%	0.04
train	—	2	2–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

353,703Lifetime kills

0.99K/D

17,546Matches

50.0%Match win rate · Top 50% of Level 10 players

55.9%Headshot % · Top 50% of Level 10 players

13.5%Shot accuracy

41,732MVPs

8,289Hours (in match)

17,588Bombs planted

3,848Bombs defused

Most-used weapons

AK-47137,102

M4A4 / M4A1-S62,314

AWP30,813

P2000 / USP-S17,998

Desert Eagle17,350

Glock-1814,311

P25010,599

FAMAS10,416

Tec-95,773

Galil AR4,737

Lifetime map wins

36,364dust2

25,853inferno

5,760train

4,517nuke

3,404vertigo

1,874cbble

246office

170assault

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

Faceit stats

Combat

5,213Matches

54%Win rate

1.01Avg K/D

79.3ADR

57%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	408	53%	1.11	16.5
Dust2	311	56%	1.08	15.9
Anubis	162	49%	1.03	16.0
Ancient	162	46%	0.99	15.3
Inferno	90	54%	1.27	17.7
Overpass	36	72%	1.18	17.1
Vertigo	30	53%	1.11	16.3
Nuke	16	50%	1.06	16.9

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.

29.2%Headshot accuracy

34.7%Accuracy (enemy spotted)

35.7%Spray accuracy

82.0%Counter-strafing

8.9°Preaim

551msReaction time

27.7%T opening success

40.9%CT opening success

0.65Enemies flashed / flash

6.5%Flash assists

8.21HE damage / grenade

4.41Flashes / 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 27.6706% — 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 9 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	13–2	0.12	29%	28 Aug →
dust2	11–13	0.00	40%	28 Aug →
mirage	13–5	-0.03	29%	27 Aug →
mirage	13–1	0.05	35%	26 Aug →
cache	13–7	0.04	23%	26 Aug →
dust2	13–0	0.01	29%	25 Aug →
mirage	13–6	-0.05	32%	25 Aug →
dust2	13–5	0.12	29%	23 Aug →
dust2	13–7	-0.03	44%	23 Aug →
mirage	13–8	0.05	23%	23 Aug →
inferno	6–13	-0.04	17%	23 Aug →
dust2	5–13	-0.00	26%	23 Aug →
cache	8–13	0.00	25%	23 Aug →
dust2	11–13	0.03	31%	23 Aug →
mirage	4–13	0.01	12%	22 Aug →
inferno	13–2	0.02	35%	22 Aug →
dust2	13–9	-0.02	17%	22 Aug →
mirage	6–13	-0.04	41%	22 Aug →
inferno	9–13	-0.01	18%	20 Aug →
mirage	13–10	-0.02	36%	20 Aug →
dust2	16–13	-0.01	30%	20 Aug →
cache	13–10	0.02	23%	17 Aug →
ancient	8–13	0.07	33%	17 Aug →
anubis	4–13	-0.07	26%	16 Aug →
mirage	13–2	-0.01	30%	16 Aug →
ancient	7–13	-0.03	33%	16 Aug →
anubis	13–9	0.00	21%	15 Aug →
anubis	13–11	0.03	26%	15 Aug →
inferno	13–11	-0.02	42%	15 Aug →
dust2	13–6	0.03	39%	15 Aug →
dust2	0–13	-0.05	33%	15 Aug →
mirage	13–0	0.21	29%	15 Aug →
dust2	10–13	-0.03	30%	15 Aug →
dust2	8–13	-0.05	15%	14 Aug →
anubis	3–13	0.02	22%	14 Aug →
inferno	13–10	0.02	40%	14 Aug →
cache	11–13	0.01	36%	14 Aug →
dust2	13–1	0.10	33%	14 Aug →
train	13–0	0.14	21%	13 Aug →
mirage	2–4	-0.09	100%	13 Aug →
mirage	10–13	-0.03	22%	13 Aug →
dust2	7–13	-0.05	22%	13 Aug →
inferno	5–13	-0.11	22%	12 Aug →
ancient	13–4	0.14	30%	12 Aug →
anubis	5–13	-0.05	11%	12 Aug →
dust2	13–7	0.03	26%	12 Aug →
dust2	13–0	0.20	22%	10 Aug →
train	13–8	0.00	35%	10 Aug →
inferno	12–12	0.07	28%	10 Aug →
dust2	3–13	0.02	41%	10 Aug →
mirage	10–13	0.00	44%	10 Aug →
ancient	16–13	-0.02	29%	9 Aug →
dust2	13–8	0.03	41%	9 Aug →
dust2	13–6	0.11	30%	9 Aug →
mirage	13–0	-0.07	50%	9 Aug →
ancient	5–13	-0.05	21%	9 Aug →
mirage	8–13	0.11	25%	9 Aug →
anubis	7–13	0.04	32%	9 Aug →
anubis	13–5	0.04	24%	8 Aug →
dust2	2–13	-0.10	10%	8 Aug →
ancient	13–4	0.11	35%	8 Aug →
cache	7–13	-0.01	33%	8 Aug →
anubis	13–7	0.06	23%	7 Aug →
cache	10–13	-0.01	30%	7 Aug →
inferno	2–13	-0.05	12%	7 Aug →
dust2	10–13	-0.04	36%	7 Aug →
mirage	13–11	0.07	23%	7 Aug →
cache	13–7	-0.08	61%	7 Aug →
mirage	6–13	-0.05	32%	6 Aug →
mirage	16–14	0.03	28%	6 Aug →
ancient	13–9	0.07	27%	6 Aug →
dust2	13–10	-0.04	37%	6 Aug →
anubis	5–0	0.05	36%	6 Aug →
mirage	0–13	-0.03	29%	6 Aug →
anubis	11–13	-0.05	24%	5 Aug →
mirage	13–9	0.02	45%	5 Aug →
anubis	13–5	0.03	36%	5 Aug →
dust2	13–8	0.02	36%	5 Aug →
mirage	13–10	-0.01	29%	4 Aug →
dust2	10–13	-0.08	33%	4 Aug →
anubis	5–13	-0.07	22%	4 Aug →
cache	13–8	0.01	44%	4 Aug →
mirage	13–0	0.00	0%	4 Aug →
anubis	10–0	-0.04	47%	4 Aug →
mirage	13–6	0.03	45%	4 Aug →
anubis	15–15	0.03	31%	3 Aug →
mirage	13–10	0.02	29%	3 Aug →
ancient	13–6	0.01	43%	3 Aug →
mirage	13–6	0.08	38%	3 Aug →
mirage	13–11	-0.04	24%	3 Aug →
dust2	13–1	0.09	34%	3 Aug →
mirage	2–0	0.22	57%	3 Aug →
anubis	4–13	0.00	31%	3 Aug →
inferno	6–13	0.00	33%	2 Aug →
mirage	13–3	0.11	34%	2 Aug →
mirage	13–16	-0.02	27%	2 Aug →
mirage	11–13	0.02	36%	2 Aug →
dust2	2–13	-0.12	37%	2 Aug →
cache	16–12	-0.02	21%	2 Aug →
dust2	13–11	0.04	21%	2 Aug →