f k s j i i

f k s j i i — CS2 Stats

PL76561198010756840[U:1:50491112]Steam profile ↗✓ No bans

339Tracked matches61%Win rate2022Tracked since
2,871Hours in CS1Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
CSDB Leaderboard#88129 of 251476 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,604 +4,897 1 Oct – 20 Mar · 27 days played
11,45719,911peak 19,9111 Oct20 Mar
19,999Peak Premier in tracked matches
49Days played since 2025-10-01

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

Performance scores

Aim51
Positioning57
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLWWTLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.7pp headshot accuracy · −134ms reaction

Win rate 0pp 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 -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 492ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 523ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 590ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim5.1
Utility3.9
Positioning5.7
Opening Duels3.9
Clutch2.6

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

jL

Plays most like jL 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 575ms 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

Aim5.1
Positioning5.7
Utility3.9
Mechanics5.4
Opening Duels3.8
Win Impact8.6

Composite 5.3/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time576ms−18ms
first ⅓ avg 594ms → last ⅓ avg 576ms
Headshot accuracy15.3%−2.9%
first ⅓ avg 18.2% → last ⅓ avg 15.3%

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

0.37Best match rating · 2–0 · overpass, 12 Dec →
42%Best headshot accuracy · 13–3 · dust2, 11 Nov →
359msFastest reaction time · 3–13 · dust2, 1 Oct →
13–1Biggest win · mirage, 15 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 67% over 15mirageWeakest map · 43% over 28
MapGradePlayedRecordWin rateAvg rating
mirageC2812–1643%-0.00
dust2S1510–567%-0.01
infernoB137–654%-0.00
nukeA85–363%0.04
ancientC73–443%0.00
anubisB63–350%0.01
officeB63–350%-0.01
overpassS64–267%0.07
cache—31–233%-0.05
train—31–233%0.04
fachwerk—21–150%0.05
shelter—10–10%-0.04
poseidon—10–10%0.03
italy—10–10%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,152Lifetime kills
1.14K/D · Top 25% of tracked players
3,626Matches
43.2%Match win rate
50.5%Headshot % · Top 25% of tracked players
14.3%Shot accuracy · Top 50% of tracked players
5,823MVPs
1,547Hours (in match)
1,817Bombs planted
748Bombs defused

Most-used weapons

AK-4738,348
AWP14,249
P2504,194
P902,276
SSG 081,973
FAMAS1,923

Lifetime map wins

4,038inferno
3,271dust2
1,758nuke
916train
590cbble
341office
286vertigo
171italy

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

Faceit stats

Combat

70Matches
50%Win rate
1.21Avg K/D
83.6ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient2100%1.2715.5
Mirage10%0.5811.0
Dust210%0.8720.0

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.

15.5%Headshot accuracy
27.5%Accuracy (enemy spotted)
30.9%Spray accuracy
74.5%Counter-strafing
8.8°Preaim
575msReaction time
49.1%T opening success
41.0%CT opening success
0.68Enemies flashed / flash
4.3%Flash assists
5.50HE damage / grenade
6.02Flashes / match

Recommended for you

Spend your practice time on Mirage

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

43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.1119%1 Oct →
dust213–5-0.0720%1 Oct →
anubis13–7-0.0216%23 Sept →
fachwerk12–120.0213%30 Jul →
shelter4–13-0.0417%24 Jul →
fachwerk13–60.0916%24 Jul →
cache9–13-0.107%13 Jun →
mirage6–70.0116%5 Jun →
cache4–13-0.0316%5 Jun →
cache13–8-0.028%19 May →
mirage13–50.0119%19 May →
ancient3–13-0.0313%26 Apr →
nuke15–150.0213%7 Apr →
poseidon8–80.037%2 Apr →
inferno9–6-0.0218%26 Mar →
inferno13–7-0.018%23 Mar →
office13–5-0.0825%22 Mar →
dust213–2-0.065%22 Mar →
anubis7–13-0.0424%20 Mar →
italy3–130.009%20 Mar →
office13–20.0325%20 Mar →
mirage13–9-0.0520%18 Mar →
office13–30.015%18 Mar →
anubis9–13-0.0410%16 Mar →
mirage11–13-0.0117%16 Mar →
dust213–90.0622%16 Mar →
dust24–13-0.0321%16 Mar →
mirage5–130.0121%16 Mar →
anubis13–70.0519%15 Mar →
dust213–90.0112%15 Mar →
overpass13–9-0.0222%15 Mar →
ancient13–90.0110%15 Mar →
anubis14–160.0315%14 Mar →
dust213–110.0529%14 Mar →
dust213–60.0514%14 Mar →
mirage6–13-0.0114%14 Mar →
ancient13–9-0.0222%14 Mar →
nuke13–90.0021%14 Mar →
mirage13–40.0716%14 Mar →
mirage13–70.0210%12 Mar →
ancient13–80.0114%12 Mar →
ancient11–130.0918%11 Mar →
mirage14–160.0211%6 Mar →
mirage13–60.0021%6 Mar →
mirage13–9-0.0517%7 Feb →
mirage11–13-0.0022%1 Feb →
inferno15–150.0219%1 Feb →
mirage5–13-0.0022%16 Dec →
mirage13–10.0316%15 Dec →
mirage12–160.0221%12 Dec →
inferno8–130.0222%12 Dec →
dust213–11-0.0221%12 Dec →
overpass13–50.1221%12 Dec →
nuke13–100.1013%12 Dec →
ancient8–13-0.077%12 Dec →
mirage13–8-0.0120%12 Dec →
nuke13–30.1713%12 Dec →
overpass2–00.3722%12 Dec →
inferno13–30.0817%11 Dec →
mirage13–80.0423%5 Dec →
mirage4–13-0.0122%4 Dec →
nuke16–140.0115%3 Dec →
train13–60.027%3 Dec →
dust213–100.0718%3 Dec →
office8–130.0118%26 Nov →
office2–13-0.0316%26 Nov →
office11–13-0.0220%26 Nov →
dust211–13-0.0120%25 Nov →
dust214–16-0.0617%21 Nov →
mirage3–13-0.0516%20 Nov →
ancient11–130.0318%20 Nov →
overpass2–13-0.0022%19 Nov →
mirage10–130.0517%19 Nov →
mirage6–13-0.0413%19 Nov →
mirage5–13-0.0314%15 Nov →
inferno13–10-0.0520%15 Nov →
inferno16–12-0.0120%14 Nov →
nuke8–13-0.0619%14 Nov →
dust213–30.0642%11 Nov →
train5–130.0319%9 Nov →
mirage13–11-0.0718%9 Nov →
mirage7–13-0.0212%9 Nov →
inferno15–15-0.0715%7 Nov →
inferno2–13-0.0915%7 Nov →
train7–130.0816%7 Nov →
nuke4–130.0815%7 Nov →
overpass16–13-0.019%30 Oct →
inferno2–80.0119%30 Oct →
dust213–11-0.0122%25 Oct →
overpass8–13-0.0121%21 Oct →
mirage11–130.0418%20 Oct →
inferno7–13-0.0220%20 Oct →
anubis13–100.0617%20 Oct →
inferno13–100.0815%19 Oct →
mirage10–130.029%14 Oct →
dust23–13-0.0430%14 Oct →
inferno13–80.0517%13 Oct →
mirage13–40.0016%4 Oct →
nuke13–10-0.0020%4 Oct →
mirage13–160.0222%1 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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