Larry Fisherman

Larry Fisherman — CS2 Stats

DE76561198045628129[U:1:85362401]Steam profile ↗✓ No bans

1,871Tracked matches57%Win rate2020Tracked since
4,978Hours in CS18Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

+22Tracked matches · now 1,871
+6.7ppWin rate · 50.0% → 56.7%

Rating over time

Premier CS Rating: 27,013 +1,840 27 Oct – 3 Jul · 19 days played
22,71327,013peak 27,01327 Oct3 Jul
27,013Peak Premier in tracked matches
41Days played since 2025-10-27

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

MetricLast 30Previous 30Change
Matches35——
Win rate49%——
K/D0.79——
Headshot %60%——

Measured 14 Sep 2026 → 14 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 Level 9 among CSDB-tracked players (n=14,332), 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.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate52.9%48.2%50.9%above
Shot accuracy16.8%13.3%13.7%above
Kill/death ratio0.871.071.090.22 short
Match win rate66.2%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLarry FishermanFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59
Positioning61
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWWLWLLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −5.4pp headshot accuracy · −21ms 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 -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 584ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

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 (+1.1 against its own average).

Aim5.9
Utility5.2
Positioning6.1
Opening Duels4.4
Clutch4.2

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: 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. 580ms 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

Aim5.9
Positioning6.1
Utility5.2
Mechanics5.7
Opening Duels4.3
Win Impact7.2

Composite 5.8/10 (Solid), 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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time581ms−54ms
first ⅓ avg 635ms → last ⅓ avg 581ms
Headshot accuracy18.8%+0.7%
first ⅓ avg 18.1% → last ⅓ avg 18.8%

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

0.10Best match rating · 13–5 · ancient, 5 Nov →
52%Best headshot accuracy · 7–13 · vertigo, 8 Jul →
391msFastest reaction time · 13–3 · inferno, 1 Jul →
13–3Biggest win · inferno, 1 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
9–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 58% over 19cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%-0.02
nukeA1911–858%-0.03
ancientB179–853%-0.01
dust2B157–847%-0.01
infernoB137–654%-0.01
cacheC83–538%-0.03
anubis—21–150%-0.06
train—20–20%-0.01
overpass—20–20%-0.04
stronghold—11–0100%0.01
vertigo—10–10%0.01
poseidon—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

180,768Lifetime kills
0.87K/D
11,261Matches
66.2%Match win rate · Top 5% of Level 9 players
52.9%Headshot % · Top 50% of Level 9 players
16.8%Shot accuracy · Top 25% of Level 9 players
13,515MVPs
4,352Hours (in match)
5,743Bombs planted
1,555Bombs defused

Most-used weapons

AK-4750,252
AWP8,266
SSG 084,124
FAMAS3,344
MP73,185
P2502,848

Lifetime map wins

11,007inferno
7,062nuke
5,954dust2
2,362train
1,920vertigo
1,184cbble
812office
264lake

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

Faceit stats

Combat

1,363Matches
52%Win rate
0.97Avg K/D
66.1ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage8357%0.9413.0
Ancient6045%0.8412.8
Inferno5145%0.8412.8
Anubis4648%0.8213.3
Nuke4260%0.7811.1
Dust23352%0.8112.3
Cache1250%0.8613.3
Overpass1040%0.7810.9

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.

18.4%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.7%Spray accuracy
75.7%Counter-strafing
11.0°Preaim
580msReaction time
45.7%T opening success
48.5%CT opening success
0.54Enemies flashed / flash
6.7%Flash assists
7.78HE damage / grenade
8.26Flashes / match

Recommended for you

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0213%11 Oct →
nuke16–13-0.0122%6 Oct →
ancient13–60.0024%4 Oct →
nuke5–13-0.106%4 Oct →
dust213–8-0.0526%13 Sept →
dust22–7-0.0425%12 Sept →
ancient9–13-0.0013%11 Sept →
ancient8–130.0115%4 Aug →
ancient13–110.0425%4 Aug →
nuke8–13-0.056%26 Jul →
mirage13–10-0.0532%18 Jul →
mirage9–13-0.0019%18 Jul →
mirage0–8-0.0825%14 Jul →
cache13–8-0.069%14 Jul →
inferno8–13-0.0115%14 Jul →
nuke13–10-0.0911%9 Jul →
stronghold13–40.0136%8 Jul →
vertigo7–130.0152%8 Jul →
dust213–80.0623%3 Jul →
anubis11–3-0.047%3 Jul →
nuke8–130.0018%3 Jul →
mirage13–100.0329%2 Jul →
nuke13–5-0.037%2 Jul →
dust29–13-0.0418%2 Jul →
inferno13–3-0.037%1 Jul →
nuke5–13-0.1212%30 Jun →
dust213–110.0921%30 Jun →
mirage13–80.0320%29 Jun →
ancient9–13-0.025%29 Jun →
dust216–14-0.0313%29 Jun →
dust211–13-0.0118%28 Jun →
nuke13–5-0.0231%28 Jun →
inferno9–13-0.0517%28 Jun →
mirage4–13-0.079%28 Jun →
mirage13–11-0.0136%28 Jun →
nuke0–2-0.020%27 Jun →
nuke13–50.0210%27 Jun →
inferno13–10-0.0520%27 Jun →
mirage13–10-0.0221%27 Jun →
dust216–14-0.0118%9 Jun →
nuke13–30.0419%9 Jun →
mirage13–60.0224%4 Jun →
cache13–6-0.0418%3 Jun →
ancient7–13-0.0520%3 Jun →
nuke13–50.0119%3 Jun →
mirage13–60.0527%3 Jun →
inferno13–11-0.0218%3 Jun →
dust213–90.0122%3 Jun →
ancient13–8-0.0215%3 Jun →
inferno13–5-0.0021%3 Jun →
mirage6–13-0.0621%3 Jun →
ancient15–15-0.0711%3 Jun →
anubis5–13-0.099%3 Jun →
poseidon6–9-0.0711%3 Jun →
dust213–16-0.0428%31 May →
inferno17–19-0.0129%24 May →
nuke19–150.0323%15 May →
cache12–120.0114%30 Apr →
cache13–6-0.0619%30 Apr →
cache11–13-0.079%30 Apr →
cache12–12-0.0121%30 Apr →
cache5–13-0.0020%30 Apr →
cache11–13-0.056%29 Apr →
inferno16–130.0127%6 Apr →
nuke13–50.0312%28 Mar →
dust21–13-0.0319%28 Mar →
mirage13–70.0123%28 Mar →
ancient13–11-0.0516%28 Mar →
ancient16–140.0110%6 Mar →
mirage7–13-0.078%6 Mar →
inferno13–110.0416%15 Jan →
mirage10–13-0.0919%15 Jan →
nuke4–13-0.1113%28 Nov →
train12–12-0.0221%8 Nov →
mirage13–6-0.0120%7 Nov →
nuke5–13-0.0811%7 Nov →
train8–13-0.0121%7 Nov →
overpass10–13-0.0721%7 Nov →
ancient13–9-0.0122%7 Nov →
dust213–16-0.0120%5 Nov →
dust211–13-0.0032%5 Nov →
dust26–130.0019%5 Nov →
mirage8–13-0.0322%5 Nov →
inferno9–13-0.0522%5 Nov →
mirage11–13-0.0226%5 Nov →
ancient13–50.1019%5 Nov →
overpass10–13-0.0216%4 Nov →
inferno13–80.0335%4 Nov →
ancient0–2-0.130%3 Nov →
nuke9–13-0.0219%3 Nov →
mirage14–16-0.0212%2 Nov →
ancient13–6-0.0026%1 Nov →
nuke13–6-0.0220%1 Nov →
nuke13–5-0.0311%28 Oct →
ancient13–70.0217%28 Oct →
ancient7–13-0.0514%28 Oct →
inferno2–13-0.0324%28 Oct →
dust213–10-0.0421%28 Oct →
inferno10–13-0.0016%27 Oct →
ancient11–13-0.0111%27 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.