High Im Hi — CS2 Stats

76561198205005857[U:1:244740129]✓ No bans

1,123Tracked matches46%Win rate2021Tracked since
4,148Hours in CS5Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate44.4%41.2%42.2%above
Shot accuracy8.9%12.5%11.9%3.0% short
Kill/death ratio0.960.960.980.02 short
Match win rate47.2%42.8%43.6%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHigh Im HiFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning50
Utility65

0–100 skill scores via Leetify.

Recent form

COLD414910Last 10041%Win rateLLLLLWWWLT

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression6.8
Utility6.5
Positioning5.0
Opening Duels2.9

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 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 643ms 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

Aim6.7
Positioning5.0
Utility6.5
Mechanics7.2
Opening Duels2.9
Win Impact3.8

Composite 5.7/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time650ms+45ms
first ⅓ avg 605ms → last ⅓ avg 650ms
Headshot accuracy17.7%+2.9%
first ⅓ avg 14.8% → last ⅓ avg 17.7%

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

0.17Best rating — poseidon 9–5
130Biggest win — ancient
5Longest win streak
L5Current streak
29In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 63% over 19infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB22101245%0.02
nukeA1912763%-0.00
infernoD1641225%-0.00
overpassC114736%-0.01
mirageA74357%-0.00
ancientB63350%0.01
dust241325%-0.03
poseidon41325%0.03
anubis42250%0.04
train3030%0.01
vertigo2020%-0.10
office1010%-0.05
sanctum1010%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,847Lifetime kills
0.96K/D
4,755Matches
47.2%Match win rate · Top 25% of Level 2 players
44.4%Headshot % · Top 50% of Level 2 players
8.9%Shot accuracy
5,378MVPs
1,364Hours (in match)
3,631Bombs planted
811Bombs defused

Most-used weapons

Lifetime map wins

6,121nuke
4,203inferno
3,688dust2
2,053vertigo
1,621train
522cbble
61office
22italy

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.

17.5%Headshot accuracy
35.0%Accuracy (enemy spotted)
37.3%Spray accuracy
82.5%Counter-strafing
9.9°Preaim
643msReaction time
36.4%T opening success
46.9%CT opening success
0.69Enemies flashed / flash
8.3%Flash assists
10.23HE damage / grenade
9.76Flashes / 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 36.3507% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0311%12 Aug
inferno14–16-0.0417%30 Jul
nuke13–160.0317%27 Jul
inferno3–100.0250%27 Jul
cache5–13-0.0222%26 May
cache13–50.0313%23 May
cache13–9-0.0511%23 May
cache13–50.0115%21 May
cache6–13-0.0213%21 May
cache12–120.0518%17 May
cache12–12-0.079%17 May
cache13–90.0614%12 May
cache0–13-0.0411%12 May
cache4–130.0415%12 May
cache11–130.0212%12 May
cache2–13-0.0415%12 May
nuke13–8-0.0126%11 May
ancient4–13-0.0510%6 May
overpass2–13-0.0916%6 May
cache13–20.1416%6 May
ancient13–0-0.0115%5 May
cache13–10.1418%4 May
cache13–20.1016%4 May
cache13–30.1118%3 May
cache10–13-0.0224%3 May
cache11–130.0839%3 May
cache13–100.0512%3 May
cache13–40.0121%2 May
nuke13–30.0019%2 May
mirage11–13-0.0515%1 May
cache12–12-0.0423%1 May
office6–13-0.0519%1 May
nuke13–10-0.0713%1 May
inferno13–160.0216%30 Apr
mirage11–130.0023%27 Apr
dust215–15-0.0223%26 Apr
nuke16–130.0114%18 Apr
nuke9–13-0.0621%18 Apr
overpass11–13-0.0733%18 Apr
inferno2–13-0.077%16 Apr
ancient10–130.0315%16 Apr
train12–120.0413%16 Apr
mirage10–13-0.018%16 Apr
nuke7–20.0014%15 Apr
inferno13–60.0422%13 Apr
vertigo2–9-0.189%12 Apr
overpass8–130.0315%12 Apr
inferno13–10-0.0333%12 Apr
inferno5–13-0.0130%12 Apr
inferno5–9-0.0817%11 Apr
poseidon6–90.0819%11 Apr
nuke9–40.1014%11 Apr
dust213–9-0.0226%11 Apr
nuke2–9-0.2319%11 Apr
poseidon6–9-0.062%11 Apr
nuke13–7-0.0015%11 Apr
inferno14–16-0.0411%11 Apr
anubis8–130.0321%11 Apr
vertigo6–13-0.0225%11 Apr
ancient13–70.0824%6 Apr
nuke11–13-0.0218%6 Apr
ancient0–13-0.0738%6 Apr
overpass13–11-0.018%6 Apr
inferno9–130.0421%6 Apr
nuke4–13-0.0636%5 Apr
overpass13–6-0.0311%5 Apr
inferno13–80.0317%5 Apr
nuke8–80.0911%5 Apr
sanctum3–9-0.1120%5 Apr
anubis13–70.0317%5 Apr
nuke13–90.0219%5 Apr
mirage13–6-0.0116%5 Apr
overpass15–150.0619%5 Apr
train10–13-0.0512%5 Apr
mirage13–70.0418%5 Apr
inferno9–20.147%29 Mar
inferno2–9-0.097%29 Mar
nuke9–40.0713%29 Mar
poseidon3–9-0.057%28 Mar
poseidon9–50.1718%28 Mar
nuke9–70.015%28 Mar
dust210–13-0.0318%28 Mar
inferno11–13-0.0115%18 Mar
inferno4–130.0521%16 Mar
nuke13–90.076%15 Mar
inferno12–120.0212%15 Mar
overpass12–120.0015%15 Mar
dust23–13-0.0619%2 Mar
overpass13–8-0.0214%2 Mar
train7–130.0519%27 Feb
overpass10–13-0.048%11 Feb
nuke13–2-0.0123%11 Feb
anubis13–70.0113%8 Feb
anubis12–120.1021%8 Feb
mirage16–13-0.0117%7 Feb
ancient13–70.0818%7 Feb
overpass9–10.036%18 Jan
mirage13–60.0416%18 Jan
overpass4–130.0419%18 Jan
nuke7–130.0220%11 Jan

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 →