𝗳𝗶𝘁𝘇𝗶𝗯 — CS2 Stats

JP76561198137072279[U:1:176806551]Steam profile ↗✓ No bans

1,851Tracked matches66%Win rate2020Tracked since

10,863Hours in CS

CSDB Rating6.3 SolidSupport

Premier CS Rating28,629Top 1% of 213,211 CSDB-tracked playersRed band · top ~1.3% of ranked players (population est.)

CSDB Leaderboard#1896 of 259900 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). 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: 28,629 +1,896 16 Jul – 3 Nov · 16 days played

Faceit ELO: 2,640 +0 31 Aug – 1 Sept · 2 observations

28,629Peak Premier in tracked matches

2,640Highest Faceit ELO seen on CSDB

40Days played since 2026-07-13

Premier CS Rating

At peak — 28,629
+3,629 over 30 days · improving
Next: Gold band at 30,000 — 1,371 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-31
Pink band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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	57.9%	50.9%
Shot accuracy	11.0%	13.7%
Kill/death ratio	0.86	1.09
Match win rate	44.2%	48.4%

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Performance scores

Aim58

Positioning58

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLWWWWWLLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −8.3pp headshot accuracy · −55ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 489ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 535ms

Last 20

13–7 · 65% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 562ms

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 (+2.5 against its own average).

Aim5.8

Utility6.8

Positioning5.8

Opening Duels1.7

Clutch3.0

Strong CT-side opener

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 iM 73% 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. 577ms 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

Aim5.8

Positioning5.8

Utility6.8

Mechanics4.6

Opening Duels3.8

Win Impact10.0

Composite 6.3/10 (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 rating-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time578ms+8ms

first ⅓ avg 570ms → last ⅓ avg 578ms

Headshot accuracy19.7%−0.9%

first ⅓ avg 20.6% → last ⅓ avg 19.7%

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

0.19Best match rating · 9–1 · vertigo, 14 Sept →

44%Best headshot accuracy · 4–13 · nuke, 4 Sept →

391msFastest reaction time · 13–6 · inferno, 23 Sept →

13–2Biggest win · nuke, 21 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

11–14In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 67% over 18nukeWeakest map · 24% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	15–12	56%	-0.01
cache	S	18	12–6	67%	-0.03
nuke	D	17	4–13	24%	-0.03
inferno	A	14	9–5	64%	0.00
dust2	A	8	5–3	63%	-0.04
ancient	C	7	3–4	43%	-0.02
anubis	—	4	3–1	75%	-0.01
vertigo	—	2	2–0	100%	0.11
train	—	1	1–0	100%	-0.02
shelter	—	1	0–1	0%	-0.05
eldorado	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

265,769Lifetime kills

0.86K/D

8,889Matches

44.2%Match win rate

57.9%Headshot % · Top 25% of Level 10 players

11.0%Shot accuracy

20,859MVPs

10,863Hours (in match)

11,261Bombs planted

2,479Bombs defused

Most-used weapons

AK-47135,063

M4A4 / M4A1-S30,843

P2000 / USP-S23,339

Desert Eagle17,918

AWP15,333

Glock-185,790

P2504,711

MP94,683

Knife4,384

MAC-102,772

Lifetime map wins

13,895inferno

7,548nuke

4,330train

4,072dust2

2,634vertigo

1,918cbble

297office

156assault

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

Faceit stats

Combat

3,264Matches

51%Win rate

1.07Avg K/D

72.1ADR

43%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	349	51%	0.95	13.8
Nuke	217	55%	1.07	14.8
Ancient	122	52%	0.86	13.5
Inferno	100	51%	0.99	13.6
Cache	58	64%	0.96	15.2
Vertigo	58	62%	1.08	14.2
Train	41	56%	0.93	15.1
Overpass	29	59%	1.09	15.7

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.

20.2%Headshot accuracy

31.8%Accuracy (enemy spotted)

33.6%Spray accuracy

70.5%Counter-strafing

10.4°Preaim

577msReaction time

40.9%T opening success

49.4%CT opening success

0.67Enemies flashed / flash

8.5%Flash assists

7.17HE damage / grenade

13.17Flashes / match

Recommended for you

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	2–13	-0.04	15%	4 Nov →
dust2	13–9	-0.01	14%	3 Nov →
dust2	13–10	-0.02	26%	3 Nov →
cache	13–7	0.02	16%	3 Nov →
mirage	13–11	-0.06	14%	2 Nov →
nuke	13–6	0.02	23%	2 Nov →
nuke	11–13	-0.03	16%	2 Nov →
ancient	10–13	-0.02	11%	1 Nov →
nuke	11–13	0.03	19%	1 Nov →
dust2	16–14	-0.03	20%	1 Nov →
mirage	13–8	-0.03	26%	31 Oct →
mirage	5–13	-0.02	35%	31 Oct →
cache	13–3	-0.01	26%	31 Oct →
ancient	4–13	-0.06	20%	30 Oct →
inferno	13–7	-0.02	17%	30 Oct →
dust2	13–7	-0.02	37%	30 Oct →
mirage	13–10	-0.00	26%	29 Oct →
anubis	13–8	-0.04	25%	29 Oct →
cache	13–9	0.01	19%	29 Oct →
mirage	3–13	-0.05	27%	25 Oct →
ancient	13–3	0.02	18%	25 Oct →
dust2	10–13	-0.11	15%	23 Oct →
nuke	6–13	-0.08	6%	23 Oct →
mirage	8–13	-0.06	15%	23 Oct →
inferno	13–7	0.02	21%	23 Oct →
inferno	16–14	-0.03	12%	23 Oct →
anubis	13–7	-0.00	21%	23 Oct →
cache	13–11	-0.03	21%	23 Oct →
mirage	13–10	-0.04	29%	23 Oct →
cache	12–12	0.02	23%	23 Oct →
dust2	6–13	-0.06	12%	22 Oct →
nuke	8–13	0.01	20%	22 Oct →
cache	13–10	-0.02	7%	22 Oct →
nuke	1–1	-0.11	0%	22 Oct →
inferno	7–13	-0.06	28%	22 Oct →
dust2	13–4	-0.01	29%	22 Oct →
mirage	3–0	0.00	0%	21 Oct →
inferno	13–4	-0.01	29%	21 Oct →
mirage	13–7	0.08	26%	21 Oct →
mirage	13–6	-0.03	10%	16 Oct →
nuke	13–16	-0.06	18%	16 Oct →
nuke	9–13	-0.07	6%	13 Oct →
cache	11–13	-0.04	17%	13 Oct →
cache	13–9	0.02	13%	13 Oct →
nuke	14–16	-0.05	21%	11 Oct →
cache	13–5	-0.07	21%	11 Oct →
cache	8–13	-0.07	26%	10 Oct →
inferno	20–22	-0.01	18%	10 Oct →
mirage	13–11	0.02	15%	10 Oct →
nuke	10–13	-0.06	6%	9 Oct →
inferno	9–13	-0.00	26%	7 Oct →
mirage	11–13	0.03	11%	7 Oct →
mirage	13–6	0.02	21%	7 Oct →
mirage	13–7	-0.04	26%	7 Oct →
ancient	14–16	-0.01	18%	3 Oct →
ancient	13–9	0.02	29%	3 Oct →
inferno	14–16	-0.01	24%	3 Oct →
mirage	7–13	0.01	26%	2 Oct →
mirage	9–13	-0.01	16%	30 Sept →
cache	12–12	-0.09	2%	30 Sept →
mirage	13–7	-0.04	16%	30 Sept →
mirage	13–8	0.07	20%	26 Sept →
train	13–10	-0.02	21%	26 Sept →
cache	4–13	-0.13	24%	26 Sept →
nuke	4–13	0.03	29%	26 Sept →
mirage	6–13	-0.04	20%	26 Sept →
mirage	14–16	-0.07	22%	25 Sept →
inferno	13–6	0.07	14%	23 Sept →
nuke	14–16	0.01	20%	21 Sept →
nuke	13–2	-0.05	22%	21 Sept →
dust2	7–13	-0.08	29%	18 Sept →
nuke	11–13	-0.02	21%	18 Sept →
mirage	13–8	0.02	15%	15 Sept →
inferno	13–4	0.04	12%	15 Sept →
vertigo	9–1	0.19	13%	14 Sept →
inferno	6–9	0.00	24%	14 Sept →
inferno	13–11	0.06	23%	7 Sept →
mirage	11–13	-0.02	21%	6 Sept →
cache	13–7	-0.06	16%	5 Sept →
mirage	11–13	-0.03	23%	5 Sept →
nuke	13–6	-0.01	20%	5 Sept →
nuke	4–13	-0.02	44%	4 Sept →
mirage	9–13	-0.01	15%	2 Sept →
cache	13–10	-0.01	14%	30 Aug →
anubis	13–5	0.04	26%	24 Aug →
cache	13–11	-0.04	13%	24 Aug →
nuke	11–13	-0.02	15%	24 Aug →
anubis	8–13	-0.06	18%	23 Jul →
shelter	6–13	-0.05	6%	20 Jul →
vertigo	9–7	0.03	24%	20 Jul →
inferno	9–3	-0.02	19%	20 Jul →
eldorado	5–9	-0.14	17%	18 Jul →
cache	7–13	-0.03	28%	16 Jul →
ancient	13–10	-0.01	24%	16 Jul →
cache	13–10	0.03	17%	15 Jul →
cache	13–7	0.01	22%	15 Jul →
ancient	1–13	-0.07	38%	13 Jul →
mirage	13–11	0.07	31%	13 Jul →
inferno	13–11	-0.01	26%	13 Jul →
mirage	13–2	-0.05	13%	13 Jul →