TrIpPiN' — CS2 Stats

76561198007611124[U:1:47345396]✓ No bans

599Tracked matches47%Win rate2020Tracked since
1,050Hours in CS9Hrs last 2 wks
CSDB Rating4.6 Developing
Premier CS Rating13,793Blue band · top ~34.8% of ranked players (population est.)
CSDB Leaderboard#16614 of 24925 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 rate42.8%41.7%44.1%1.3% short
Shot accuracy16.0%8.8%11.4%above
Kill/death ratio0.930.971.030.10 short
Match win rate43.2%43.8%45.2%2.0% 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.

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CSDB.GGTrIpPiN'PREMIER13,793 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning43
Utility52

0–100 skill scores via Leetify.

Recent form

COLD49483Last 10049%Win rateLWLLLLLLWW

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Aim5.1
Aggression5.8
Utility5.2
Positioning4.3
Opening Duels1.9

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 84% playstyle similarity

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

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 672ms 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

Aim5.1
Positioning4.3
Utility5.2
Mechanics6.9
Opening Duels2.3
Win Impact3.9

Composite 4.6/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time688ms−9ms
first ⅓ avg 696ms → last ⅓ avg 688ms
Headshot accuracy18.7%−4.1%
first ⅓ avg 22.8% → last ⅓ avg 18.7%

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 — inferno 11–2
131Biggest win — nuke
5Longest win streak
117In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A169756%-0.01
mirageC146843%0.01
nukeC146843%-0.04
ancientD1331023%-0.01
infernoA117464%0.02
anubisS86275%-0.01
overpassB84450%-0.01
vertigoC73443%0.03
cacheA53260%-0.01
train21150%-0.01
office21150%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,288Lifetime kills
0.93K/D
1,716Matches
43.2%Match win rate
42.8%Headshot % · Top 50% of Blue band
16.0%Shot accuracy · Top 25% of Blue band
3,436MVPs
655Hours (in match)
1,039Bombs planted
351Bombs defused

Most-used weapons

Lifetime map wins

3,121inferno
1,821dust2
913vertigo
895nuke
224train
126office
22lake
8italy

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.

18.1%Headshot accuracy
32.2%Accuracy (enemy spotted)
30.8%Spray accuracy
81.3%Counter-strafing
10.9°Preaim
672msReaction time
27.0%T opening success
48.2%CT opening success
0.61Enemies flashed / flash
4.3%Flash assists
7.94HE damage / grenade
9.77Flashes / 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

    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 27.0185% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–130.0335%26 Aug
dust216–12-0.0520%26 Aug
nuke3–13-0.1021%23 Aug
cache8–13-0.0016%23 Aug
ancient9–13-0.0223%23 Aug
mirage13–16-0.0618%22 Aug
cache3–13-0.0812%20 Aug
mirage11–130.0130%18 Aug
inferno13–6-0.039%18 Aug
dust213–11-0.0221%18 Aug
mirage13–50.0624%18 Aug
ancient3–13-0.0213%17 Aug
anubis13–80.0112%17 Aug
ancient14–16-0.0212%10 Aug
mirage13–60.0431%10 Aug
ancient13–110.0321%8 Aug
cache16–130.1021%8 Aug
inferno8–130.0215%7 Aug
inferno13–11-0.0216%7 Aug
cache13–50.0338%7 Aug
anubis13–11-0.0511%28 Jul
nuke12–16-0.0714%28 May
dust211–13-0.0610%7 May
cache13–11-0.117%7 May
mirage4–13-0.0227%7 May
mirage13–10-0.0311%6 May
dust213–9-0.0314%6 May
mirage10–13-0.009%6 May
train0–7-0.070%27 May
mirage5–130.0135%11 May
inferno9–13-0.0231%2 May
dust210–13-0.0127%30 Mar
mirage11–13-0.0115%12 Mar
dust24–13-0.0322%12 Mar
dust213–100.0827%12 Mar
inferno13–60.0334%11 Mar
train13–70.0426%11 Mar
ancient11–13-0.0221%25 Nov
dust213–60.0625%25 Nov
nuke13–10-0.0328%25 Nov
dust216–14-0.0019%19 Sept
dust27–13-0.0432%28 Aug
anubis13–70.0939%31 Jul
dust22–13-0.0829%21 Jun
vertigo13–80.1141%14 Jun
inferno11–20.1236%14 Jun
vertigo13–10-0.0424%14 Jun
nuke13–10-0.0632%1 Jun
nuke13–90.0220%29 May
vertigo1–13-0.078%24 May
ancient4–130.0418%21 May
nuke13–10.0416%21 May
office11–130.0218%15 May
nuke7–13-0.0530%14 May
dust213–110.0626%27 Apr
ancient4–13-0.0615%27 Apr
nuke6–13-0.1015%22 Apr
vertigo8–13-0.0335%26 Mar
ancient9–130.0517%26 Mar
vertigo13–70.0815%26 Mar
overpass2–9-0.128%26 Mar
vertigo9–130.0915%23 Mar
dust26–13-0.0723%23 Mar
overpass13–11-0.0123%14 Mar
nuke2–13-0.0729%14 Mar
nuke13–30.0038%13 Mar
anubis13–100.0734%13 Mar
inferno13–50.1235%8 Mar
anubis13–110.0530%8 Mar
inferno9–13-0.0119%7 Mar
vertigo9–130.0721%7 Mar
mirage13–90.0316%7 Mar
nuke5–13-0.0321%7 Mar
overpass4–130.0316%7 Mar
dust212–120.0930%5 Mar
office13–3-0.0326%5 Mar
ancient13–10-0.0824%27 Feb
anubis6–13-0.0721%27 Feb
overpass8–13-0.0117%23 Feb
nuke15–15-0.0431%23 Feb
nuke13–90.0629%23 Feb
anubis13–4-0.0821%22 Feb
mirage13–30.0636%17 Feb
inferno13–80.1128%17 Feb
dust213–110.0212%10 Feb
overpass4–13-0.0624%10 Feb
mirage8–13-0.0222%3 Feb
anubis6–13-0.1029%2 Feb
mirage13–50.0212%2 Feb
dust213–8-0.0539%2 Feb
inferno13–6-0.0210%1 Feb
ancient6–13-0.0915%1 Feb
ancient8–130.0024%1 Feb
overpass13–11-0.0410%25 Jan
overpass13–50.0918%18 Jan
inferno11–13-0.0429%18 Jan
nuke6–9-0.0512%17 Jan
ancient13–60.1029%17 Jan
ancient15–15-0.0123%10 Jan
overpass13–50.0226%10 Jan

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 →