JuMa — CS2 Stats

TK76561198006906494[U:1:46640766]Steam profile ↗✓ No bans

822Tracked matches36%Win rate2020Tracked since

CSDB Rating5.1 DevelopingSupport

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 822

+3.6ppWin rate · 32.1% → 35.7%

Rating over time

33Days played since 2026-07-21

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim67

Positioning52

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateWWTLLLWLWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −3.2pp headshot accuracy · +7ms 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

2–2–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 19%
Avg reaction 634ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 620ms

Last 20

7–11–2 · 35% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 616ms

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 (+2.8 against its own average).

Aim6.7

Utility6.5

Positioning5.2

Opening Duels2.2

Clutch1.0

Effective flashes

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 Twistzz 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 599ms 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

Aim6.7

Positioning5.2

Utility6.5

Mechanics6.4

Opening Duels1.3

Win Impact0.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time597ms−70ms

first ⅓ avg 667ms → last ⅓ avg 597ms

Headshot accuracy19.0%+2.3%

first ⅓ avg 16.7% → last ⅓ avg 19.0%

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 · 12–12 · cache, 9 Aug →

34%Best headshot accuracy · 13–3 · dust2, 26 Aug →

469msFastest reaction time · 9–13 · inferno, 18 Aug →

13–2Biggest win · cache, 9 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

4–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 53% over 17infernoWeakest map · 32% over 25

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	15–26	37%	0.02
inferno	D	25	8–17	32%	0.01
mirage	B	17	9–8	53%	0.04
cache	B	12	6–6	50%	0.05
nuke	—	3	2–1	67%	0.01
train	—	1	0–1	0%	-0.08
fachwerk	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,393Matches

50%Win rate

1.02Avg K/D

75.0ADR

44%Headshot %

Clutches & streaks

25%1v1 clutch win

19%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	54%	1.01	13.8
Inferno	7	71%	1.54	17.7
Nuke	5	60%	1.12	14.2
Dust2	4	25%	1.02	15.5
Overpass	3	33%	0.82	13.0
Ancient	1	100%	1.08	14.0
Anubis	1	0%	0.82	14.0

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.

18.9%Headshot accuracy

33.7%Accuracy (enemy spotted)

36.2%Spray accuracy

78.7%Counter-strafing

9.8°Preaim

599msReaction time

37.7%T opening success

32.9%CT opening success

0.76Enemies flashed / flash

9.9%Flash assists

13.88HE damage / grenade

11.53Flashes / 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 37.6625% — 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.

32% win rate across 25 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
dust2	13–8	0.05	21%	8 Sept →
dust2	13–3	0.03	34%	26 Aug →
mirage	12–12	-0.00	18%	26 Aug →
inferno	6–13	-0.05	8%	24 Aug →
inferno	10–13	-0.02	16%	24 Aug →
inferno	7–13	-0.02	17%	23 Aug →
dust2	13–7	0.10	22%	22 Aug →
mirage	10–13	-0.02	12%	22 Aug →
dust2	13–5	0.00	20%	22 Aug →
inferno	5–13	-0.08	8%	22 Aug →
dust2	10–13	0.02	22%	22 Aug →
inferno	12–12	-0.01	27%	21 Aug →
dust2	13–7	0.06	14%	19 Aug →
cache	9–13	0.02	25%	19 Aug →
inferno	13–9	0.06	34%	18 Aug →
dust2	12–16	0.02	23%	18 Aug →
dust2	10–13	0.06	13%	18 Aug →
inferno	9–13	0.06	13%	18 Aug →
inferno	13–11	-0.03	20%	17 Aug →
cache	4–13	-0.02	19%	17 Aug →
dust2	9–13	0.05	21%	17 Aug →
cache	13–6	0.06	12%	17 Aug →
mirage	7–13	0.04	18%	16 Aug →
inferno	2–13	-0.03	29%	16 Aug →
dust2	6–13	0.00	24%	16 Aug →
dust2	6–13	0.04	16%	16 Aug →
dust2	7–3	0.06	19%	16 Aug →
inferno	13–7	0.03	16%	15 Aug →
inferno	4–13	0.03	19%	15 Aug →
dust2	12–16	-0.03	12%	15 Aug →
mirage	11–13	-0.05	10%	15 Aug →
mirage	10–13	0.12	27%	14 Aug →
cache	13–7	0.06	19%	14 Aug →
dust2	6–13	-0.05	19%	14 Aug →
inferno	2–13	0.00	17%	13 Aug →
dust2	4–13	-0.04	15%	13 Aug →
inferno	6–13	-0.01	26%	13 Aug →
mirage	13–4	0.03	18%	12 Aug →
cache	10–13	0.10	27%	11 Aug →
mirage	13–6	0.09	28%	11 Aug →
dust2	10–13	-0.01	22%	11 Aug →
dust2	12–12	-0.02	15%	11 Aug →
cache	12–12	0.09	16%	10 Aug →
inferno	7–13	0.04	27%	10 Aug →
mirage	13–9	0.09	17%	10 Aug →
dust2	4–13	0.05	18%	10 Aug →
inferno	7–13	-0.02	6%	10 Aug →
cache	13–10	0.00	23%	9 Aug →
dust2	4–13	0.02	31%	9 Aug →
mirage	13–9	0.04	19%	9 Aug →
inferno	13–11	0.03	13%	9 Aug →
dust2	6–13	0.06	14%	9 Aug →
cache	13–2	0.03	19%	9 Aug →
cache	12–12	0.19	27%	9 Aug →
nuke	13–9	0.10	27%	9 Aug →
dust2	13–11	0.10	20%	8 Aug →
train	1–13	-0.08	19%	8 Aug →
inferno	13–6	-0.04	16%	8 Aug →
mirage	13–9	-0.01	15%	8 Aug →
dust2	10–13	0.10	12%	8 Aug →
dust2	13–7	0.06	18%	8 Aug →
inferno	11–13	0.04	17%	8 Aug →
mirage	13–8	-0.01	27%	8 Aug →
dust2	5–13	-0.07	26%	8 Aug →
dust2	10–13	-0.04	11%	8 Aug →
cache	13–9	0.01	12%	7 Aug →
inferno	10–13	0.07	20%	7 Aug →
dust2	5–13	0.03	26%	7 Aug →
mirage	13–10	0.06	8%	7 Aug →
nuke	2–9	-0.09	18%	7 Aug →
inferno	3–13	0.04	13%	7 Aug →
mirage	10–13	0.05	17%	7 Aug →
dust2	12–12	-0.04	17%	6 Aug →
dust2	13–10	0.03	14%	6 Aug →
mirage	13–5	0.14	18%	6 Aug →
dust2	7–13	-0.04	16%	6 Aug →
mirage	12–12	0.04	13%	5 Aug →
dust2	12–12	-0.06	13%	5 Aug →
dust2	11–13	-0.02	17%	5 Aug →
dust2	13–9	-0.02	20%	4 Aug →
inferno	7–13	0.03	12%	3 Aug →
mirage	9–13	0.09	23%	2 Aug →
cache	13–4	0.08	12%	2 Aug →
inferno	13–6	0.03	18%	2 Aug →
nuke	6–1	0.03	20%	2 Aug →
dust2	7–13	0.02	12%	1 Aug →
dust2	13–3	0.07	15%	31 Jul →
inferno	13–8	-0.01	22%	31 Jul →
dust2	11–8	-0.01	15%	31 Jul →
inferno	13–11	0.07	19%	30 Jul →
dust2	13–9	0.11	30%	28 Jul →
dust2	13–3	0.03	21%	28 Jul →
dust2	6–13	-0.00	12%	27 Jul →
dust2	13–5	0.04	11%	25 Jul →
inferno	9–13	0.04	12%	25 Jul →
dust2	3–13	-0.01	11%	24 Jul →
cache	7–13	0.03	24%	24 Jul →
mirage	13–7	0.03	25%	23 Jul →
dust2	9–13	-0.07	12%	23 Jul →
fachwerk	13–3	0.01	18%	21 Jul →