Janny.exe 🐾 — CS2 Stats

FI76561199086777516[U:1:1126511788]Steam profile ↗✓ No bans

1,689Tracked matches18%Win rate2020Tracked since

5,670Hours in CS28Hrs last 2 wks

CSDB Rating2.1 LearningSupport

Premier CS Rating2,251Grey band · top ~90.5% of ranked players (population est.)

CSDB Leaderboard#200977 of 251279 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (8 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: 2,251 +878 5 Aug – 4 Oct · 18 days played

3,598Peak Premier in tracked matches

19Days played since 2026-08-05

Premier CS Rating

1,247 below peak (3,498)
-164 over 30 days · steady
Next: Light Blue band at 5,000 — 2,749 to go

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

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	63	—	—
Win rate	25%	—	—
K/D	0.31	—	—
Headshot %	34%	—	—

Measured 11 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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	Grey band median	Light Blue band median	vs Light Blue band
Headshot rate	35.9%	38.2%	39.9%	4.0% short
Shot accuracy	7.5%	3.6%	7.0%	above
Kill/death ratio	0.40	0.83	0.92	0.51 short
Match win rate	33.7%	40.2%	42.3%	8.6% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim17

Positioning18

Utility49

0–100 skill scores via Leetify.

Recent form

COLD28–66–6Last 10028%Win rateTLWTLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.5pp headshot accuracy · +66ms 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

1–2–2 · 20% win rate
Avg rating -0.06
Avg headshot accuracy 13%
Avg reaction 699ms

Last 10

1–7–2 · 10% win rate
Avg rating -0.09
Avg headshot accuracy 12%
Avg reaction 774ms

Last 20

3–15–2 · 15% win rate
Avg rating -0.08
Avg headshot accuracy 12%
Avg reaction 741ms

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 (+2.2 against its own average).

Aim1.7

Utility4.9

Positioning1.8

Opening Duels0.0

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.

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 ZywOo 63% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 740ms 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

Aim1.7

Positioning1.8

Utility4.9

Mechanics4.7

Opening Duels0.0

Win Impact0.0

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.09+0.01

first ⅓ avg -0.09 → last ⅓ avg -0.09

Reaction time747ms−53ms

first ⅓ avg 801ms → last ⅓ avg 747ms

Headshot accuracy12.2%+1.8%

first ⅓ avg 10.4% → last ⅓ avg 12.2%

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

0.02Best match rating · 12–12 · ancient, 3 Oct →

30%Best headshot accuracy · 9–13 · ancient, 13 Aug →

406msFastest reaction time · 9–13 · ancient, 6 Aug →

13–0Biggest win · cache, 14 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

8–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 37% over 35ancientWeakest map · 7% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	35	13–22	37%	-0.08
ancient	D	15	1–14	7%	-0.09
cache	D	12	4–8	33%	-0.09
nuke	D	10	3–7	30%	-0.07
inferno	D	10	2–8	20%	-0.10
mirage	D	9	3–6	33%	-0.09
anubis	D	7	1–6	14%	-0.08
train	—	1	1–0	100%	-0.10
vertigo	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (7% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,290Lifetime kills

0.40K/D

7,132Matches

33.7%Match win rate

35.9%Headshot %

7.5%Shot accuracy · Top 50% of Grey band

4,382MVPs

2,586Hours (in match)

5,959Bombs planted

695Bombs defused

Most-used weapons

AK-4711,608

M4A4 / M4A1-S10,646

Galil AR4,297

AWP4,247

XM10144,036

P2000 / USP-S3,854

Glock-183,236

FAMAS2,496

Desert Eagle1,926

MP7988

Lifetime map wins

14,791dust2

7,025nuke

5,433inferno

2,410train

2,002vertigo

66cbble

61lake

24office

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

Faceit stats

Combat

78Matches

28%Win rate

0.46Avg K/D

41.1ADR

34%Headshot %

Clutches & streaks

40%1v1 clutch win

8%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	15	7%	0.42	7.1
Nuke	14	29%	0.44	8.3
Dust2	13	54%	0.55	9.2
Anubis	10	30%	0.69	11.0
Inferno	9	22%	0.38	6.6
Mirage	6	33%	0.24	3.8
Cache	3	0%	0.30	5.3
Vertigo	2	50%	0.69	10.0

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.

12.7%Headshot accuracy

26.7%Accuracy (enemy spotted)

35.4%Spray accuracy

71.3%Counter-strafing

14.5°Preaim

740msReaction time

8.0%T opening success

8.7%CT opening success

0.62Enemies flashed / flash

3.7%Flash assists

8.75HE damage / grenade

5.82Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.5171° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.6871% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 740.1733ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Ancient

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

7% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	-0.03	17%	9 Oct →
anubis	6–13	-0.09	6%	4 Oct →
dust2	13–11	-0.11	13%	4 Oct →
ancient	12–12	0.02	22%	3 Oct →
dust2	8–13	-0.06	8%	3 Oct →
mirage	7–13	-0.10	11%	3 Oct →
dust2	3–13	-0.15	25%	3 Oct →
ancient	1–13	-0.13	0%	3 Oct →
ancient	4–13	-0.10	13%	25 Sept →
dust2	4–13	-0.10	9%	25 Sept →
mirage	7–13	-0.06	6%	25 Sept →
cache	13–11	-0.07	21%	25 Sept →
nuke	7–13	-0.05	17%	25 Sept →
dust2	1–13	-0.13	0%	19 Sept →
anubis	5–13	-0.12	20%	30 Aug →
cache	11–13	-0.10	9%	30 Aug →
dust2	13–8	-0.11	16%	30 Aug →
cache	11–13	-0.05	5%	30 Aug →
ancient	9–13	-0.05	25%	30 Aug →
nuke	5–13	-0.11	0%	29 Aug →
nuke	11–13	-0.08	9%	29 Aug →
dust2	13–10	-0.10	13%	29 Aug →
dust2	13–10	-0.04	22%	29 Aug →
dust2	5–13	-0.07	10%	29 Aug →
inferno	6–13	-0.12	10%	29 Aug →
dust2	11–13	-0.14	17%	28 Aug →
mirage	2–13	-0.14	0%	23 Aug →
ancient	9–13	-0.10	18%	23 Aug →
mirage	3–13	-0.09	17%	23 Aug →
ancient	2–13	-0.11	8%	23 Aug →
mirage	13–16	-0.06	9%	23 Aug →
dust2	16–14	-0.07	8%	23 Aug →
dust2	9–13	-0.02	20%	23 Aug →
nuke	5–13	-0.02	15%	23 Aug →
dust2	13–2	-0.08	17%	23 Aug →
mirage	16–12	-0.10	12%	22 Aug →
dust2	13–8	-0.10	0%	22 Aug →
anubis	4–13	-0.06	7%	22 Aug →
ancient	6–13	-0.12	0%	22 Aug →
dust2	0–13	-0.12	0%	22 Aug →
dust2	13–6	-0.06	11%	22 Aug →
inferno	13–1	-0.09	0%	22 Aug →
ancient	1–13	-0.14	0%	22 Aug →
inferno	13–11	-0.11	21%	17 Aug →
dust2	13–9	-0.06	13%	17 Aug →
inferno	6–13	-0.12	0%	16 Aug →
cache	2–13	-0.13	29%	16 Aug →
dust2	9–13	-0.08	5%	16 Aug →
ancient	5–13	-0.10	20%	16 Aug →
ancient	9–13	-0.13	6%	16 Aug →
inferno	5–13	-0.12	0%	16 Aug →
inferno	3–13	-0.10	21%	15 Aug →
cache	6–13	-0.08	15%	15 Aug →
ancient	6–13	-0.04	29%	15 Aug →
inferno	6–9	-0.13	6%	15 Aug →
dust2	7–0	-0.02	17%	15 Aug →
cache	13–0	-0.04	0%	14 Aug →
anubis	11–13	-0.04	17%	14 Aug →
train	13–11	-0.10	14%	14 Aug →
ancient	9–13	-0.05	30%	13 Aug →
anubis	5–13	-0.05	17%	13 Aug →
nuke	13–5	-0.06	22%	13 Aug →
dust2	5–13	-0.05	13%	13 Aug →
inferno	4–13	-0.13	12%	13 Aug →
dust2	11–13	-0.10	10%	13 Aug →
cache	4–13	-0.07	14%	13 Aug →
ancient	3–13	-0.10	13%	13 Aug →
dust2	7–13	-0.12	25%	12 Aug →
mirage	13–7	-0.08	11%	12 Aug →
cache	13–4	-0.13	11%	12 Aug →
anubis	13–11	-0.06	13%	12 Aug →
mirage	13–5	-0.08	13%	12 Aug →
nuke	13–6	-0.05	13%	12 Aug →
ancient	13–4	-0.05	0%	12 Aug →
cache	12–12	-0.12	15%	12 Aug →
dust2	4–13	-0.04	0%	7 Aug →
dust2	15–15	-0.04	23%	7 Aug →
dust2	13–10	-0.07	10%	7 Aug →
dust2	3–13	-0.07	20%	7 Aug →
dust2	13–5	-0.11	0%	6 Aug →
cache	10–13	-0.08	11%	6 Aug →
inferno	7–13	-0.10	0%	6 Aug →
dust2	13–11	-0.07	4%	6 Aug →
ancient	9–13	-0.11	7%	6 Aug →
cache	13–11	-0.10	14%	6 Aug →
dust2	15–15	-0.11	19%	6 Aug →
anubis	6–13	-0.13	9%	6 Aug →
dust2	4–13	-0.10	18%	6 Aug →
dust2	8–13	-0.12	12%	6 Aug →
nuke	15–15	-0.09	12%	6 Aug →
inferno	6–13	-0.03	3%	6 Aug →
dust2	8–13	-0.09	4%	6 Aug →
vertigo	9–13	-0.06	9%	6 Aug →
nuke	5–13	-0.14	29%	6 Aug →
dust2	1–13	-0.14	0%	5 Aug →
dust2	4–13	-0.09	0%	5 Aug →
nuke	9–13	-0.08	11%	5 Aug →
nuke	13–10	-0.07	18%	5 Aug →
cache	4–13	-0.13	0%	5 Aug →
mirage	6–13	-0.13	10%	5 Aug →