Jams — CS2 Stats

76561198058441860[U:1:98176132]1 game ban

571Tracked matches34%Win rate2023Tracked since
CSDB Rating4.9 DevelopingClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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

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Performance scores

Aim74
Positioning42
Utility31

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateLWLLWLLLLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim7.4
Aggression1.6
Utility3.1
Positioning4.2
Opening Duels0.0
Clutch8.0

Excellent counter-strafingReliable in 1v1s

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 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower opening-fight frequency; lower utility contribution.

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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 615ms 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

Aim7.4
Positioning4.2
Utility3.1
Mechanics9.1
Opening Duels0.5
Win Impact0.0

Composite 4.9/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time615ms−38ms
first ⅓ avg 653ms → last ⅓ avg 615ms
Headshot accuracy15.7%+1.9%
first ⅓ avg 13.8% → last ⅓ avg 15.7%

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

0.27Best rating — nuke 8–0
131Biggest win — cache
6Longest win streak
26In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 64% over 14dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA27151256%0.00
infernoB157847%-0.04
ancientA149564%-0.01
dust2D102820%-0.03
mirageC73443%-0.04
cacheC52340%-0.01
anubisD51420%-0.03
trainA53260%-0.01
overpassC52340%-0.00
vertigo42250%-0.03
italy21150%-0.09
rooftop1010%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches
50%Win rate
0.80Avg K/D
71.8ADR
46%Headshot %

Clutches & streaks

60%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.8714.0
Inferno450%0.7212.0
Dust2333%0.6110.7
Vertigo2100%1.3713.5
Anubis10%0.294.0
Nuke1100%0.8012.0

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.

16.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.9%Spray accuracy
90.8%Counter-strafing
9.1°Preaim
615msReaction time
19.0%T opening success
33.7%CT opening success
0.40Enemies flashed / flash
2.9%Flash assists
5.67HE damage / grenade
6.92Flashes / 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. 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 0.3986 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 19.0021% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.096%21 Aug
ancient13–5-0.0523%21 Aug
nuke10–130.0616%2 Aug
dust28–13-0.0616%31 Jul
nuke13–5-0.0417%28 Jul
nuke4–13-0.0119%22 Jul
dust29–130.0214%13 Jul
inferno5–13-0.0413%13 Jul
nuke10–13-0.0416%13 Jul
cache3–13-0.0810%13 Jul
dust29–13-0.0526%10 Jul
inferno10–13-0.0314%10 Jul
cache13–10.0128%10 Jul
ancient13–10-0.0422%6 Jul
nuke13–50.0411%29 Jun
cache11–13-0.0315%29 Jun
mirage3–13-0.0926%25 Jun
dust214–160.0121%22 Jun
nuke13–60.0712%22 Jun
anubis10–130.0616%22 Jun
nuke13–2-0.016%22 Jun
vertigo12–12-0.0515%20 Jun
italy5–13-0.1015%12 Jun
anubis13–16-0.0531%7 Jun
inferno5–13-0.126%31 May
inferno14–16-0.1019%30 May
italy13–6-0.0711%25 May
vertigo13–1-0.0017%25 May
nuke13–50.0313%19 May
inferno6–13-0.0514%19 May
cache7–130.0717%19 May
cache13–80.005%15 May
ancient13–8-0.0210%15 May
train13–8-0.0511%27 Apr
nuke10–130.0121%27 Apr
vertigo6–13-0.0611%27 Apr
anubis7–13-0.0610%12 Apr
mirage13–7-0.0012%25 Mar
nuke13–6-0.0215%21 Mar
inferno6–13-0.078%15 Mar
nuke5–13-0.026%15 Mar
ancient13–30.0215%15 Mar
inferno13–50.0212%14 Mar
inferno6–13-0.0213%12 Mar
nuke13–6-0.0321%7 Mar
nuke8–00.2736%7 Mar
ancient4–11-0.124%19 Feb
overpass8–13-0.079%16 Feb
nuke6–13-0.096%15 Feb
nuke13–6-0.0210%15 Feb
inferno13–1-0.0211%15 Feb
mirage3–13-0.053%14 Feb
inferno13–70.018%14 Feb
nuke13–90.1010%11 Feb
ancient13–20.033%11 Feb
mirage13–10-0.0716%8 Feb
nuke0–13-0.098%6 Feb
nuke15–15-0.0312%6 Feb
ancient13–30.024%26 Jan
dust213–8-0.0219%26 Jan
overpass13–100.0110%26 Jan
nuke3–13-0.0418%26 Jan
inferno13–5-0.0112%26 Jan
ancient4–13-0.0512%26 Jan
inferno13–9-0.018%26 Jan
dust25–13-0.0414%25 Jan
ancient14–160.0210%25 Jan
nuke8–130.0213%24 Jan
mirage13–60.0510%24 Jan
nuke13–10-0.0119%24 Jan
nuke13–8-0.035%20 Jan
overpass13–6-0.0111%20 Jan
vertigo13–8-0.0316%20 Jan
anubis13–7-0.067%20 Jan
ancient5–130.0113%18 Jan
inferno13–60.0417%18 Jan
train13–80.0720%18 Jan
inferno13–11-0.0510%12 Jan
dust211–13-0.0310%12 Jan
anubis12–12-0.0220%4 Jan
overpass8–130.0620%2 Jan
ancient13–60.0114%2 Jan
train13–110.016%2 Jan
nuke13–50.1018%1 Jan
ancient13–60.0713%1 Jan
nuke8–13-0.0210%28 Dec
nuke8–13-0.018%27 Dec
dust213–3-0.0516%18 Dec
mirage10–13-0.0912%14 Oct
ancient11–13-0.093%13 Oct
dust210–13-0.0719%13 Oct
nuke13–9-0.0713%10 Oct
dust215–15-0.0016%9 Oct
nuke13–30.0211%9 Oct
train10–130.0219%8 Oct
mirage5–13-0.0421%8 Oct
train3–13-0.0911%8 Oct
overpass10–13-0.0113%6 Oct
ancient13–6-0.0218%6 Oct
rooftop8–80.0124%6 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 →