Janny.exe 🐾 — CS2 Stats

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

1,676Tracked matches30%Win rate2020Tracked since

5,622Hours in CS4Hrs last 2 wks

CSDB Rating1.9 LearningSupport

Premier CS Rating2,296Grey band · top ~90.3% of ranked players (population est.)

CSDB Leaderboard#185043 of 232112 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 16 days played since 2 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 2,296 +775 2 Aug – 19 Sept · 15 days played

3,598Peak Premier in tracked matches

16Days played since 2026-08-02

Premier CS Rating

1,202 below peak (3,498)
-876 over 30 days · declining
Next: Light Blue band at 5,000 — 2,704 to go

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

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	4	—	—
Win rate	25%	—	—
K/D	0.42	—	—
Headshot %	27%	—	—

Measured 11 Sep 2026 → 20 Sep 2026; no observation near 14 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=3,468), 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%	38.1%	39.9%	4.0% short
Shot accuracy	7.5%	3.7%	6.9%	above
Kill/death ratio	0.40	0.83	0.92	0.51 short
Match win rate	33.8%	40.1%	42.3%	8.5% 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

Aim13

Positioning14

Utility45

0–100 skill scores via Leetify.

Recent form

COLD29–67–4Last 10029%Win rateLLLWLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.2pp headshot accuracy · −132ms reaction

Win rate up 20pp 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

1–4 · 20% win rate
Avg rating -0.10
Avg headshot accuracy 10%
Avg reaction 709ms

Last 10

3–7 · 30% win rate
Avg rating -0.09
Avg headshot accuracy 12%
Avg reaction 658ms

Last 20

4–16 · 20% win rate
Avg rating -0.09
Avg headshot accuracy 12%
Avg reaction 724ms

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 against its own average).

Aim1.3

Utility4.5

Positioning1.4

Opening Duels0.0

Clutch4.0

Limited 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.

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 jL 60% 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. 769ms 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

Aim1.3

Positioning1.4

Utility4.5

Mechanics5.2

Opening Duels0.0

Win Impact0.0

Composite 1.9/10 (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+0.00

first ⅓ avg -0.09 → last ⅓ avg -0.09

Reaction time766ms−10ms

first ⅓ avg 775ms → last ⅓ avg 766ms

Headshot accuracy10.0%−0.6%

first ⅓ avg 10.6% → last ⅓ avg 10.0%

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

-0.02Best match rating · 7–0 · dust2, 15 Aug →

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

L3Current streak

6–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 44% over 34ancientWeakest map · 7% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	34	15–19	44%	-0.08
ancient	D	15	1–14	7%	-0.09
cache	D	13	3–10	23%	-0.09
nuke	D	11	3–8	27%	-0.08
inferno	D	11	2–9	18%	-0.10
mirage	C	8	3–5	38%	-0.09
anubis	D	6	1–5	17%	-0.07
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

55,937Lifetime kills

0.40K/D

7,073Matches

33.8%Match win rate

35.9%Headshot %

7.5%Shot accuracy · Top 50% of Grey band

4,356MVPs

2,566Hours (in match)

5,928Bombs planted

690Bombs defused

Most-used weapons

AK-4711,529

M4A4 / M4A1-S10,588

Galil AR4,287

AWP4,233

XM10143,979

P2000 / USP-S3,833

Glock-183,220

FAMAS2,486

Desert Eagle1,911

MP7988

Lifetime map wins

14,668dust2

6,981nuke

5,376inferno

2,402train

1,989vertigo

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.

10.5%Headshot accuracy

27.4%Accuracy (enemy spotted)

32.1%Spray accuracy

73.3%Counter-strafing

14.9°Preaim

769msReaction time

6.5%T opening success

7.4%CT opening success

0.64Enemies flashed / flash

4.2%Flash assists

7.08HE damage / grenade

4.95Flashes / 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 14.9461° — 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 10.4729% — 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 768.6528ms — 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	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 →
nuke	8–13	-0.08	0%	5 Aug →
ancient	4–13	-0.10	0%	5 Aug →
nuke	8–13	-0.10	7%	5 Aug →
ancient	10–13	-0.07	7%	5 Aug →
dust2	13–6	-0.07	6%	5 Aug →
dust2	13–9	-0.07	26%	5 Aug →
cache	14–16	-0.06	15%	5 Aug →
dust2	7–13	-0.09	12%	5 Aug →
inferno	6–13	-0.08	15%	5 Aug →
mirage	9–13	-0.05	15%	5 Aug →
dust2	13–10	-0.08	18%	5 Aug →
ancient	3–13	-0.11	11%	2 Aug →
cache	11–13	-0.08	29%	2 Aug →