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jAme — CS2 Stats

76561198142907885[U:1:182642157]

271Tracked matches37%Win rate2022Tracked since
311Hours in CS1Hrs last 2 wks
CSDB Rating2.3 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGjAmeFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim25
Positioning25
Utility29

0–100 skill scores via Leetify.

Recent form

COLD38–61–1Last 10038%Win rateLWWLLLLLLL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim2.5
Aggression0.0
Utility2.9
Positioning2.5
Opening Duels0.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 59% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 689ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.5
Positioning2.5
Utility2.9
Mechanics3.7
Opening Duels0.0
Win Impact0.6

Composite 2.3/10 (Learning), 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-0.06+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time686ms−27ms
first ⅓ avg 713ms → last ⅓ avg 686ms
Headshot accuracy11.7%+0.3%
first ⅓ avg 11.4% → last ⅓ avg 11.7%

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.

Highlights

0.12Best rating — overpass 8–0
13–0Biggest win — ancient
4Longest win streak
2–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 50% over 16nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
ancientD227–1532%-0.06
infernoC228–1436%-0.05
overpassC198–1142%-0.06
trainB168–850%-0.04
nukeD92–722%-0.07
vertigo—41–325%-0.05
anubis—31–233%-0.09
dust2—21–150%-0.04
cache—10–10%-0.07
office—11–0100%-0.07
mirage—11–0100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

7,045Lifetime kills
0.56K/D
561Matches
22.5%Match win rate
40.3%Headshot %
3.1%Shot accuracy
268MVPs
174Hours (in match)
339Bombs planted
51Bombs defused

Most-used weapons

M4A4 / M4A1-S1,721
AK-471,618
P2000 / USP-S454
Galil AR407
FAMAS375
Glock-18354
Desert Eagle284
AWP275
MP7232
MP9114

Lifetime map wins

534vertigo
376inferno
249train
223nuke
82dust2
35office
10ar_baggage
9ar_shoots

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

Faceit stats

Combat

13Matches
38%Win rate
0.52Avg K/D
50.3ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo450%0.6412.8
Ancient333%0.408.0
Anubis333%0.548.7
Overpass250%0.509.0
Inferno10%0.327.0

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.

12.2%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.8%Spray accuracy
66.8%Counter-strafing
14.0°Preaim
689msReaction time
15.6%T opening success
16.3%CT opening success
0.47Enemies flashed / flash
2.5%Flash assists
7.48HE damage / grenade
2.85Flashes / 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 13.9736° — 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 12.1749% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4706 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo10–13-0.0614%17 Aug →
anubis13–9-0.076%17 Aug →
dust213–8-0.0020%26 Jul →
nuke7–13-0.0619%26 Jul →
ancient8–13-0.1010%26 Jul →
inferno9–13-0.088%12 Jul →
cache6–13-0.0729%12 Jul →
ancient8–13-0.085%9 Jul →
inferno5–13-0.080%8 Jul →
inferno10–13-0.0318%25 May →
ancient3–13-0.0913%25 May →
overpass16–13-0.0221%26 Apr →
inferno10–13-0.0418%25 Apr →
anubis2–13-0.114%5 Apr →
inferno10–13-0.0810%5 Apr →
ancient7–13-0.094%19 Mar →
overpass11–13-0.0817%18 Mar →
ancient6–3-0.035%18 Mar →
overpass16–14-0.087%28 Feb →
inferno13–10-0.0311%28 Feb →
ancient7–13-0.095%28 Feb →
office13–10-0.0719%12 Jan →
ancient13–50.0217%4 Jan →
nuke13–6-0.057%4 Jan →
train13–60.0412%4 Jan →
ancient2–13-0.0510%2 Jan →
ancient10–13-0.1112%2 Jan →
inferno5–13-0.075%28 Dec →
train13–6-0.0323%28 Dec →
vertigo10–13-0.047%28 Dec →
inferno14–16-0.0613%28 Dec →
ancient13–5-0.0514%28 Dec →
train13–20.014%28 Dec →
overpass13–1-0.084%28 Dec →
overpass13–10-0.1016%27 Dec →
train15–15-0.0413%27 Dec →
nuke6–13-0.0923%26 Dec →
inferno13–11-0.0215%26 Dec →
train7–13-0.056%26 Dec →
overpass10–13-0.106%24 Dec →
inferno8–13-0.1013%24 Dec →
inferno5–13-0.0810%24 Dec →
overpass2–130.0211%24 Dec →
train4–130.0213%24 Dec →
overpass10–13-0.046%24 Dec →
train13–10-0.0714%24 Dec →
inferno9–13-0.0110%23 Dec →
overpass8–00.127%23 Dec →
mirage13–90.0314%23 Dec →
inferno7–13-0.0115%23 Dec →
train3–13-0.1011%23 Dec →
ancient11–13-0.106%23 Dec →
dust25–13-0.0711%23 Dec →
nuke1–13-0.0614%23 Dec →
overpass14–16-0.0513%21 Dec →
overpass10–13-0.0732%8 Dec →
inferno9–13-0.0612%7 Dec →
train8–13-0.0714%7 Dec →
inferno13–90.0211%6 Dec →
train7–13-0.0218%30 Nov →
ancient5–13-0.084%30 Nov →
anubis8–13-0.0711%29 Nov →
vertigo3–13-0.0617%29 Nov →
ancient5–13-0.0512%29 Nov →
inferno13–9-0.0312%29 Nov →
nuke10–13-0.090%28 Nov →
overpass11–13-0.1215%28 Nov →
ancient7–13-0.0721%23 Nov →
train13–10-0.087%19 Oct →
inferno13–9-0.0611%19 Oct →
train13–6-0.024%15 Oct →
train9–13-0.0316%13 Oct →
inferno13–8-0.0316%13 Oct →
inferno2–13-0.115%12 Oct →
overpass4–13-0.0814%12 Oct →
inferno10–13-0.1019%11 Oct →
train13–10-0.0831%11 Oct →
ancient13–3-0.0126%11 Oct →
nuke8–13-0.073%8 Oct →
overpass13–8-0.037%8 Oct →
overpass13–8-0.068%6 Oct →
nuke5–13-0.0810%26 Sept →
train1–13-0.048%26 Sept →
inferno16–13-0.100%20 Sept →
ancient13–0-0.038%20 Sept →
ancient13–5-0.045%20 Sept →
overpass14–16-0.072%20 Sept →
nuke9–13-0.059%19 Sept →
nuke13–10-0.0924%19 Sept →
ancient7–13-0.064%16 Sept →
overpass13–4-0.0512%14 Sept →
ancient11–13-0.0633%14 Sept →
inferno13–5-0.0211%14 Sept →
train13–2-0.0813%14 Sept →
ancient13–16-0.0517%13 Sept →
overpass9–13-0.087%13 Sept →
vertigo13–9-0.048%7 Sept →
ancient8–13-0.063%1 Sept →
ancient13–4-0.030%1 Sept →
overpass7–13-0.0614%1 Sept →

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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