✪sesh

✪sesh — CS2 Stats

AF76561199067598498[U:1:1107332770]Steam profile ↗✓ No bans

570Tracked matches34%Win rate2020Tracked since
895Hours in CS1Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 570
−3.5ppWin rate · 37.9% → 34.5%

Rating over time

Premier CS Rating: 10,323 +3,246 31 Oct – 13 Sept · 36 days played
5,59411,938peak 11,93831 Oct13 Sept
12,245Peak Premier in tracked matches
50Days played since 2025-10-31

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
Matches2——
Win rate0%——
K/D1.05——
Headshot %48%——

Measured 13 Sep 2026 → 13 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.

Performance scores

Aim39
Positioning59
Utility51

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateLLWLLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −6.1pp headshot accuracy · −24ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 613ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 625ms

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 (+0.9 against its own average).

Aim3.9
Utility5.1
Positioning5.9
Opening Duels4.0

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

jL

Plays most like jL 67% 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. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning5.9
Utility5.1
Mechanics4.3
Opening Duels3.4
Win Impact0.0

Composite 4.1/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time615ms+10ms
first ⅓ avg 605ms → last ⅓ avg 615ms
Headshot accuracy14.4%−1.1%
first ⅓ avg 15.5% → last ⅓ avg 14.4%

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

0.11Best match rating · 13–3 · ancient, 23 Mar →
31%Best headshot accuracy · 13–10 · nuke, 8 Apr →
398msFastest reaction time · 3–13 · office, 21 Apr →
13–1Biggest win · anubis, 21 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
9–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 73% over 11overpassWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2414–1058%0.01
nukeC229–1341%-0.02
infernoC125–742%-0.00
anubisS118–373%0.01
overpassD92–722%-0.00
dust2D92–722%-0.02
mirage—32–167%0.00
office—30–30%-0.04
train—31–233%-0.01
cache—21–150%-0.00
fachwerk—10–10%0.05
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,677Lifetime kills
1.12K/D · Top 50% of tracked players
1,186Matches
45.4%Match win rate · Top 50% of tracked players
36.1%Headshot %
3.7%Shot accuracy
2,753MVPs
416Hours (in match)
1,117Bombs planted
280Bombs defused

Most-used weapons

Lifetime map wins

1,487inferno
1,434nuke
1,002vertigo
994dust2
444office
277train
26italy
24militia

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.5%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.2%Spray accuracy
69.4%Counter-strafing
12.7°Preaim
613msReaction time
36.9%T opening success
50.0%CT opening success
0.55Enemies flashed / flash
3.6%Flash assists
6.56HE damage / grenade
18.20Flashes / 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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7182° — above the 12° mark we flag

    Aim Training →
  2. 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 14.4668% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Overpass

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
fachwerk5–130.0517%11 Oct →
ancient12–16-0.0119%27 Sept →
ancient13–110.0415%19 May →
inferno5–13-0.018%15 May →
cache11–13-0.0412%14 May →
overpass6–130.026%12 May →
nuke13–9-0.0313%12 May →
mirage8–13-0.005%9 May →
anubis16–140.0919%9 May →
nuke4–13-0.018%5 May →
ancient16–140.0416%4 May →
nuke8–13-0.0318%3 May →
anubis13–10-0.0017%2 May →
ancient13–80.108%2 May →
nuke1–70.0226%2 May →
cache13–70.0425%1 May →
dust29–13-0.0214%26 Apr →
overpass10–130.0120%26 Apr →
ancient11–130.0121%26 Apr →
anubis8–13-0.0818%25 Apr →
office11–13-0.0210%25 Apr →
office3–13-0.1014%21 Apr →
anubis13–90.0015%21 Apr →
nuke13–10-0.0115%16 Apr →
inferno13–11-0.0019%16 Apr →
dust29–13-0.0416%15 Apr →
nuke7–13-0.093%13 Apr →
train10–13-0.0010%13 Apr →
inferno15–15-0.0213%11 Apr →
inferno7–13-0.0113%11 Apr →
nuke9–13-0.019%9 Apr →
nuke16–120.0315%9 Apr →
ancient13–5-0.0018%8 Apr →
nuke13–100.0231%8 Apr →
inferno15–150.0116%6 Apr →
ancient13–40.0410%6 Apr →
vertigo2–13-0.0014%6 Apr →
dust28–13-0.0317%5 Apr →
inferno13–10-0.0215%5 Apr →
ancient13–70.0214%5 Apr →
nuke5–13-0.0711%4 Apr →
anubis13–11-0.0617%4 Apr →
ancient10–13-0.0418%4 Apr →
nuke13–80.0113%3 Apr →
anubis5–130.020%2 Apr →
ancient13–10-0.0115%30 Mar →
dust22–13-0.0319%30 Mar →
nuke2–13-0.0816%29 Mar →
inferno16–140.009%29 Mar →
ancient11–13-0.025%28 Mar →
anubis16–120.0520%28 Mar →
mirage13–11-0.050%28 Mar →
nuke3–13-0.0514%24 Mar →
ancient13–9-0.0318%24 Mar →
inferno15–150.018%23 Mar →
ancient7–13-0.0328%23 Mar →
ancient13–30.1130%23 Mar →
ancient15–15-0.0318%23 Mar →
dust213–7-0.0119%23 Mar →
overpass13–40.0825%23 Mar →
overpass8–13-0.109%23 Mar →
nuke12–12-0.0220%21 Mar →
dust213–11-0.0411%21 Mar →
ancient9–13-0.036%21 Mar →
ancient13–110.0318%21 Mar →
inferno13–40.0520%20 Mar →
nuke13–60.0824%20 Mar →
anubis13–7-0.0117%19 Mar →
nuke10–13-0.0516%19 Mar →
office9–130.0110%19 Mar →
overpass11–130.0118%18 Mar →
ancient7–13-0.065%17 Mar →
anubis11–130.0424%15 Mar →
nuke13–10-0.0127%15 Mar →
anubis13–100.0418%15 Mar →
overpass5–130.0423%14 Mar →
overpass7–13-0.0021%9 Mar →
anubis13–1-0.0219%21 Feb →
ancient8–13-0.0724%21 Feb →
dust25–13-0.0616%21 Feb →
inferno14–16-0.0226%19 Feb →
ancient13–70.0218%19 Feb →
overpass13–10-0.0017%18 Feb →
ancient13–40.086%28 Dec →
inferno13–50.0516%28 Dec →
nuke3–13-0.050%15 Dec →
train10–130.038%15 Dec →
train13–3-0.058%15 Dec →
ancient13–50.0625%15 Dec →
ancient6–13-0.0422%14 Dec →
nuke13–70.1020%14 Dec →
dust23–130.0515%14 Dec →
nuke13–5-0.0415%14 Dec →
mirage13–80.0513%1 Dec →
inferno8–13-0.045%29 Nov →
nuke1–13-0.088%28 Nov →
ancient11–10.016%28 Nov →
nuke4–13-0.0013%28 Nov →
dust28–13-0.0418%20 Nov →
overpass15–15-0.0713%31 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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