JacKie

JacKie — CS2 Stats

DE76561198035847801[U:1:75582073]Steam profile ↗✓ No bans

1,986Tracked matches43%Win rate2020Tracked since
4,877Hours in CS8Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating13,469Blue band · top ~36.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+95Premier CS Rating · 13,374 → 13,469
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 1 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,469 +2,409 1 Jul17 Sept · 24 days played
11,06014,811peak 14,8111 Jul17 Sept
14,811Peak Premier in tracked matches
32Days played since 2026-07-01

Premier CS Rating

  • 1,342 below peak (14,811)
  • -1,342 over 30 days · declining
  • +2,409 over 90 days
  • Next: Purple band at 15,000 1,531 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=18,772), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate38.6%41.9%44.3%5.7% short
Shot accuracy12.9%9.6%11.8%above
Kill/death ratio0.850.981.030.18 short
Match win rate43.7%43.8%45.2%1.5% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGJacKiePREMIER13,469 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

COLD51454Last 10051%Win rateLWLWWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +2.3pp headshot accuracy · +22ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 583ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 599ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 588ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim4.8
Utility4.5
Positioning5.4
Opening Duels2.4

Limited utility dependence

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

NiKo

Plays most like NiKo 76% 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. 608ms 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

Aim4.8
Positioning5.4
Utility4.5
Mechanics5.5
Opening Duels2.8
Win Impact2.6

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time612ms−26ms
first ⅓ avg 639ms → last ⅓ avg 612ms
Headshot accuracy14.9%+0.2%
first ⅓ avg 14.7% → last ⅓ avg 14.9%

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

0.12Best match rating · 13–4 · dust2, 15 Sept
32%Best headshot accuracy · 13–7 · dust2, 24 Aug
406msFastest reaction time · 9–13 · inferno, 25 Aug
13–0Biggest win · anubis, 5 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
710In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 53% over 38ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B38201853%-0.01
infernoB23121152%-0.01
nukeB147750%-0.04
cacheB126650%-0.02
ancientC73443%-0.03
anubis32167%0.01
mirage2020%-0.04
overpass110100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,231Lifetime kills
0.85K/D
6,302Matches
43.7%Match win rate
38.6%Headshot %
12.9%Shot accuracy · Top 50% of Blue band
12,350MVPs
2,866Hours (in match)
9,874Bombs planted
1,369Bombs defused

Most-used weapons

AK-4720,916
AWP11,276
P904,359
MP93,198
MAC-103,160
P2502,841

Lifetime map wins

37,227dust2
7,887inferno
7,586nuke
1,157train
998vertigo
603cbble
358office
125lake

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

Faceit stats

Combat

1Matches
0%Win rate
0.25Avg K/D
ADR
75%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

13.6%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.9%Spray accuracy
74.9%Counter-strafing
11.3°Preaim
608msReaction time
42.1%T opening success
40.4%CT opening success
0.57Enemies flashed / flash
5.7%Flash assists
9.65HE damage / grenade
4.23Flashes / 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. 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 13.5951% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0513%17 Sept
dust213–40.128%15 Sept
dust212–16-0.0220%11 Sept
inferno13–10-0.0311%11 Sept
dust213–10-0.0314%11 Sept
nuke2–13-0.0220%11 Sept
inferno5–13-0.0512%11 Sept
dust29–13-0.0521%11 Sept
inferno11–13-0.0411%4 Sept
dust211–13-0.0512%4 Sept
ancient13–10-0.0311%3 Sept
anubis15–15-0.0212%3 Sept
dust213–80.0018%3 Sept
dust211–13-0.0117%3 Sept
dust20–10-0.050%29 Aug
dust216–14-0.033%29 Aug
nuke13–11-0.0211%29 Aug
inferno13–80.0124%29 Aug
dust28–13-0.025%29 Aug
ancient6–13-0.0521%28 Aug
cache7–13-0.0611%28 Aug
dust213–6-0.0122%28 Aug
inferno10–13-0.039%28 Aug
dust213–5-0.0214%28 Aug
ancient13–10.0424%28 Aug
nuke4–130.0214%28 Aug
dust213–60.0226%28 Aug
cache15–15-0.056%28 Aug
mirage8–13-0.024%27 Aug
dust25–13-0.0623%27 Aug
cache13–4-0.0330%27 Aug
dust28–13-0.0416%26 Aug
cache13–40.0429%26 Aug
nuke13–7-0.0315%25 Aug
inferno9–130.0416%25 Aug
inferno13–50.058%25 Aug
dust25–13-0.0910%25 Aug
nuke16–14-0.0516%24 Aug
inferno11–130.0817%24 Aug
dust213–70.0432%24 Aug
anubis13–80.0021%24 Aug
inferno5–13-0.0621%22 Aug
dust213–10-0.0124%22 Aug
nuke16–13-0.0110%22 Aug
inferno13–60.0317%22 Aug
mirage9–13-0.0519%21 Aug
nuke5–13-0.0713%21 Aug
nuke10–13-0.0729%21 Aug
cache10–13-0.0217%21 Aug
dust213–60.0814%17 Aug
nuke13–7-0.0215%17 Aug
dust211–13-0.0118%17 Aug
dust213–20.0714%17 Aug
inferno13–10-0.049%17 Aug
inferno7–1-0.079%17 Aug
dust213–40.0317%15 Aug
dust213–100.0410%13 Aug
nuke3–13-0.0914%13 Aug
inferno10–13-0.0128%13 Aug
cache13–40.0711%5 Aug
ancient9–13-0.0621%5 Aug
dust213–80.0415%5 Aug
nuke16–14-0.0113%4 Aug
dust26–13-0.0314%4 Aug
cache5–13-0.0517%4 Aug
dust213–10-0.0717%3 Aug
inferno6–13-0.0321%3 Aug
ancient4–13-0.0112%3 Aug
cache13–9-0.0415%3 Aug
nuke4–13-0.0820%31 Jul
dust210–13-0.0211%31 Jul
inferno13–100.0413%29 Jul
inferno15–15-0.0110%27 Jul
dust216–13-0.0715%27 Jul
cache6–13-0.0115%24 Jul
dust213–40.059%24 Jul
dust214–16-0.0610%24 Jul
cache9–13-0.0416%24 Jul
dust211–13-0.0415%23 Jul
cache13–40.0110%23 Jul
nuke13–10-0.058%23 Jul
inferno13–4-0.0014%15 Jul
inferno11–13-0.017%13 Jul
dust211–13-0.1019%13 Jul
dust213–40.0719%12 Jul
inferno13–11-0.0417%12 Jul
cache13–9-0.0612%6 Jul
inferno7–13-0.0120%6 Jul
anubis13–00.0413%5 Jul
ancient11–7-0.0226%5 Jul
inferno13–80.0416%3 Jul
dust213–8-0.0417%3 Jul
dust29–13-0.027%3 Jul
overpass13–11-0.0120%2 Jul
ancient7–13-0.0713%2 Jul
dust213–10-0.0711%2 Jul
inferno13–4-0.0128%2 Jul
dust211–13-0.0310%2 Jul
nuke15–15-0.0112%2 Jul
inferno13–11-0.0324%1 Jul

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 →