gupi — CS2 Stats

76561199510757947[U:1:1550492219]

203Tracked matches41%Win rate2024Tracked since
477Hours in CS18Hrs last 2 wks
CSDB Rating3.5 Learning
Premier CS Rating8,115Light Blue band · top ~63.9% of ranked players (population est.)
CSDB Leaderboard#20715 of 27607 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate47.0%42.5%44.2%above
Shot accuracy1.2%10.9%11.2%10.0% short
Kill/death ratio1.070.991.04above
Match win rate40.3%44.2%45.3%5.0% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgupiFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER8,115 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning48
Utility18

0–100 skill scores via Leetify.

Recent form

COLD44515Last 10044%Win rateTTWLLWWLLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim4.8
Aggression5.6
Utility1.8
Positioning4.8
Opening Duels0.7

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 75% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 652ms 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
Positioning4.8
Utility1.8
Mechanics6.3
Opening Duels0.7
Win Impact1.9

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time658ms−29ms
first ⅓ avg 687ms → last ⅓ avg 658ms
Headshot accuracy15.6%−7.7%
first ⅓ avg 23.4% → last ⅓ avg 15.6%

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

0.14Best rating — nuke 3–1
131Biggest win — cache
6Longest win streak
73In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B25131252%-0.01
mirageA2011955%0.03
cacheD123925%-0.01
infernoC125742%-0.00
ancientD92722%-0.00
nukeC83538%0.00
anubisS65183%-0.03
trainC52340%-0.02
office2020%-0.04
overpass1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

11,781Lifetime kills
1.07K/D · Top 50% of Level 4 players
797Matches
40.3%Match win rate
47.0%Headshot % · Top 50% of Level 4 players
1.2%Shot accuracy
1,191MVPs
232Hours (in match)
373Bombs planted
183Bombs defused

Most-used weapons

Lifetime map wins

1,577dust2
624inferno
363nuke
337vertigo
61train
55office
20italy
7ar_baggage

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

Faceit stats

Combat

7Matches
29%Win rate
0.71Avg K/D
ADR
51%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo333%0.7111.7
Mirage250%0.7010.5
Inferno10%0.6712.0
Nuke10%0.7911.0

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.

15.8%Headshot accuracy
32.2%Accuracy (enemy spotted)
32.2%Spray accuracy
78.3%Counter-strafing
11.1°Preaim
652msReaction time
30.5%T opening success
34.9%CT opening success
0.27Enemies flashed / flash
1.0%Flash assists
8.57HE damage / grenade
2.21Flashes / 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 0.2748 — 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 30.5048% — below the 40% mark we flag

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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–12-0.065%26 Aug
dust215–15-0.0414%26 Aug
mirage13–100.1118%26 Aug
mirage10–130.0314%26 Aug
mirage13–16-0.049%20 Aug
mirage13–4-0.0116%20 Aug
mirage13–60.0611%20 Aug
inferno1–13-0.0030%20 Aug
inferno11–13-0.0416%20 Aug
dust28–13-0.1133%19 Aug
mirage13–110.0918%19 Aug
train2–13-0.0421%17 Aug
train10–9-0.023%17 Aug
ancient5–13-0.0614%16 Aug
train1–12-0.0114%16 Aug
train5–13-0.099%16 Aug
dust213–80.0618%11 Aug
mirage9–13-0.0211%11 Aug
mirage9–13-0.0317%11 Aug
dust213–70.0716%11 Aug
nuke15–15-0.0122%10 Aug
mirage4–13-0.0825%10 Aug
cache7–130.0718%10 Aug
mirage13–30.066%10 Aug
dust24–90.0014%10 Aug
mirage11–130.050%10 Aug
dust29–130.0221%8 Aug
mirage13–70.0420%8 Aug
dust213–8-0.0023%8 Aug
dust216–12-0.0422%8 Aug
dust27–130.0220%8 Aug
cache5–13-0.063%7 Aug
inferno13–7-0.0115%7 Aug
inferno13–8-0.0718%7 Aug
dust25–2-0.0620%7 Aug
inferno13–70.0617%7 Aug
nuke13–90.0125%7 Aug
dust26–130.016%6 Aug
inferno10–130.0418%3 Aug
mirage13–60.0710%3 Aug
ancient13–40.098%1 Aug
inferno3–13-0.0419%31 Jul
ancient13–80.0613%31 Jul
dust213–20.0242%30 Jul
ancient5–13-0.0011%30 Jul
nuke8–13-0.0620%27 Jul
dust211–130.0627%27 Jul
anubis13–9-0.109%25 Jul
cache13–5-0.0625%25 Jul
anubis9–130.0113%25 Jul
nuke0–13-0.0621%25 Jul
inferno10–13-0.0214%25 Jul
nuke13–7-0.039%25 Jul
dust213–11-0.0420%25 Jul
cache9–13-0.0117%25 Jul
inferno10–130.0225%25 Jul
anubis16–14-0.0413%25 Jul
dust210–13-0.0117%25 Jul
cache9–13-0.0426%24 Jul
nuke7–13-0.0221%24 Jul
mirage13–30.0519%24 Jul
anubis13–110.0018%23 Jul
anubis13–7-0.0719%23 Jul
dust213–90.0330%21 Jul
mirage7–130.0610%21 Jul
cache2–11-0.0110%21 Jul
dust216–12-0.0213%21 Jul
ancient8–13-0.0118%21 Jul
dust213–11-0.0720%21 Jul
cache16–12-0.0121%19 Jul
cache5–13-0.0128%12 Jul
dust213–50.0212%12 Jul
nuke8–130.0329%10 Jul
ancient10–13-0.079%10 Jul
dust25–13-0.0921%9 Jul
dust24–13-0.0520%8 Jul
dust23–13-0.0113%8 Jul
cache7–13-0.0123%8 Jul
office12–12-0.0516%8 Jul
office12–12-0.0326%8 Jul
cache5–13-0.0223%1 Jul
cache13–10.1021%1 Jul
overpass7–13-0.0523%30 Jun
ancient5–13-0.0328%30 Jun
ancient7–13-0.045%29 Jun
mirage13–160.0227%29 Jun
nuke3–10.1467%29 Jun
inferno13–100.0136%29 Jun
mirage6–130.0123%25 Jun
ancient8–130.0262%17 Jun
dust213–6-0.0315%17 Jun
inferno4–13-0.0233%17 Jun
mirage13–50.0129%17 Jun
mirage13–90.0314%17 Jun
train13–20.0415%17 Jun
mirage13–50.0619%16 Jun
inferno13–60.0737%15 Jun
dust213–90.0518%14 Jun
dust25–13-0.0511%13 Jun
anubis13–80.0214%10 Jun

Match data via Leetify.

Milestones

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