FORK — CS2 Stats

MN76561198200863114[U:1:240597386]Steam profile ↗✓ No bans

2,375Tracked matches55%Win rate2020Tracked since

CSDB Rating5.7 SolidSupport

Premier CS Rating21,076Top 50% of 212,379 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)

CSDB Leaderboard#68743 of 259248 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,076 +6,076 6 Sept – 30 Oct · 34 days played

21,297Peak Premier in tracked matches

35Days played since 2026-09-06

Premier CS Rating

221 below peak (21,297)
+7,643 over 30 days · improving
Next: Red band at 25,000 — 3,924 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim46

Positioning62

Utility69

0–100 skill scores via Leetify.

Recent form

HOT48–48–4Last 10048%Win rateWWLWTWWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −5.6pp headshot accuracy · −19ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–1–1 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 681ms

Last 10

8–1–1 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 619ms

Last 20

13–6–1 · 65% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 628ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim4.6

Utility6.9

Positioning6.2

Opening Duels2.7

Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 62% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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. 604ms 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

Aim4.6

Positioning6.2

Utility6.9

Mechanics4.7

Opening Duels5.3

Win Impact6.7

Composite 5.7/10 (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 rating-0.00+0.03

first ⅓ avg -0.03 → last ⅓ avg -0.00

Reaction time601ms+2ms

first ⅓ avg 599ms → last ⅓ avg 601ms

Headshot accuracy18.1%+1.3%

first ⅓ avg 16.8% → last ⅓ avg 18.1%

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.

Personal bests

0.12Best match rating · 13–7 · ancient, 21 Oct →

39%Best headshot accuracy · 6–13 · inferno, 7 Oct →

430msFastest reaction time · 13–1 · ancient, 14 Oct →

13–1Biggest win · ancient, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

6–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 58% over 12anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	21	10–11	48%	-0.01
dust2	B	17	9–8	53%	-0.02
cache	B	16	8–8	50%	-0.03
ancient	A	12	7–5	58%	-0.02
mirage	A	12	7–5	58%	-0.02
nuke	B	11	5–6	45%	-0.03
anubis	D	10	2–8	20%	-0.02
rush_001	—	1	0–1	0%	-0.15

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,431Matches

50%Win rate

0.80Avg K/D

75.6ADR

39%Headshot %

Clutches & streaks

38%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	144	54%	0.92	13.9
Mirage	135	50%	0.82	12.9
Dust2	77	40%	0.87	13.4
Inferno	75	56%	0.85	13.3
Nuke	64	45%	0.91	14.2
Anubis	39	38%	0.87	13.9
Vertigo	27	67%	0.96	14.8
Train	14	36%	0.71	10.3

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.

18.7%Headshot accuracy

28.8%Accuracy (enemy spotted)

31.1%Spray accuracy

70.9%Counter-strafing

10.5°Preaim

604msReaction time

55.0%T opening success

47.7%CT opening success

0.57Enemies flashed / flash

6.5%Flash assists

11.41HE damage / grenade

10.77Flashes / match

Recommended for you

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 10 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
cache	13–11	-0.03	26%	30 Oct →
inferno	13–8	0.01	12%	30 Oct →
cache	10–13	0.04	20%	30 Oct →
nuke	13–9	-0.01	28%	24 Oct →
inferno	15–15	0.02	20%	23 Oct →
ancient	13–5	0.04	19%	23 Oct →
inferno	13–6	-0.01	17%	22 Oct →
ancient	13–6	-0.06	11%	22 Oct →
ancient	13–7	0.12	15%	21 Oct →
nuke	13–5	-0.02	10%	21 Oct →
dust2	11–13	-0.03	28%	21 Oct →
mirage	13–5	0.03	19%	20 Oct →
dust2	13–7	0.03	18%	20 Oct →
ancient	13–6	0.01	20%	20 Oct →
anubis	7–13	-0.12	18%	20 Oct →
mirage	8–13	0.04	26%	19 Oct →
dust2	13–5	0.02	22%	19 Oct →
cache	8–13	-0.04	35%	19 Oct →
inferno	8–13	0.07	30%	19 Oct →
dust2	13–11	0.00	17%	18 Oct →
inferno	11–13	-0.02	18%	18 Oct →
inferno	10–13	-0.01	12%	17 Oct →
nuke	7–13	-0.05	0%	16 Oct →
nuke	11–13	0.03	19%	16 Oct →
cache	7–13	-0.04	17%	15 Oct →
anubis	8–13	0.07	15%	15 Oct →
ancient	13–1	-0.01	16%	14 Oct →
mirage	13–4	-0.02	25%	14 Oct →
cache	13–10	-0.02	13%	13 Oct →
cache	11–13	-0.08	10%	12 Oct →
nuke	11–13	0.03	20%	12 Oct →
mirage	5–13	-0.04	6%	12 Oct →
inferno	15–15	0.04	13%	11 Oct →
dust2	8–13	-0.03	3%	11 Oct →
inferno	13–4	0.01	23%	9 Oct →
dust2	13–11	-0.06	10%	9 Oct →
rush_001	4–8	-0.15	13%	8 Oct →
cache	13–6	-0.06	11%	8 Oct →
mirage	13–9	-0.03	27%	8 Oct →
inferno	13–10	0.00	10%	8 Oct →
inferno	13–10	0.01	16%	8 Oct →
cache	13–10	-0.03	24%	8 Oct →
inferno	13–2	0.03	17%	8 Oct →
anubis	11–13	-0.05	12%	7 Oct →
mirage	13–7	-0.06	20%	7 Oct →
dust2	7–13	-0.05	13%	7 Oct →
inferno	6–13	-0.05	39%	7 Oct →
ancient	13–8	-0.04	18%	7 Oct →
dust2	16–12	-0.06	20%	7 Oct →
mirage	13–6	-0.02	24%	6 Oct →
anubis	13–1	-0.02	18%	6 Oct →
anubis	6–13	-0.01	26%	6 Oct →
anubis	13–3	0.03	18%	5 Oct →
ancient	15–15	-0.04	11%	5 Oct →
dust2	13–9	-0.03	27%	5 Oct →
anubis	6–13	-0.04	14%	2 Oct →
nuke	13–9	-0.06	14%	2 Oct →
cache	13–11	-0.07	18%	2 Oct →
cache	6–13	-0.06	5%	1 Oct →
cache	13–9	0.01	20%	1 Oct →
dust2	13–2	0.06	22%	1 Oct →
inferno	13–8	-0.02	20%	1 Oct →
ancient	10–13	-0.07	10%	30 Sept →
inferno	13–6	-0.05	6%	30 Sept →
dust2	13–6	-0.00	15%	29 Sept →
dust2	13–10	-0.05	12%	29 Sept →
dust2	3–13	-0.12	9%	29 Sept →
inferno	4–13	-0.07	17%	29 Sept →
inferno	11–13	-0.02	29%	28 Sept →
dust2	5–13	0.00	19%	28 Sept →
inferno	4–13	-0.07	9%	28 Sept →
cache	6–13	-0.01	8%	28 Sept →
inferno	14–16	-0.04	20%	28 Sept →
nuke	5–13	-0.11	15%	28 Sept →
nuke	11–2	-0.07	0%	28 Sept →
inferno	9–13	0.04	23%	27 Sept →
mirage	13–7	0.03	13%	27 Sept →
cache	13–4	0.01	33%	25 Sept →
mirage	8–13	-0.03	29%	25 Sept →
inferno	13–8	-0.03	6%	24 Sept →
mirage	11–13	-0.10	17%	24 Sept →
nuke	13–11	-0.00	24%	24 Sept →
cache	15–15	-0.04	11%	23 Sept →
ancient	13–3	-0.06	18%	23 Sept →
cache	11–13	-0.02	17%	23 Sept →
anubis	8–13	0.01	13%	23 Sept →
anubis	8–13	-0.03	28%	23 Sept →
nuke	13–16	-0.02	16%	23 Sept →
dust2	8–13	0.00	19%	22 Sept →
dust2	10–13	-0.02	9%	22 Sept →
ancient	8–13	-0.07	17%	16 Sept →
ancient	3–13	-0.01	14%	16 Sept →
dust2	11–13	-0.06	22%	16 Sept →
mirage	4–13	-0.08	10%	15 Sept →
inferno	13–11	-0.07	16%	13 Sept →
anubis	10–13	-0.02	14%	7 Sept →
cache	13–7	0.03	24%	7 Sept →
ancient	10–13	-0.01	7%	7 Sept →
mirage	13–7	0.01	20%	7 Sept →
nuke	8–13	-0.04	21%	6 Sept →