KalaschnikowKillerKuliano

KalaschnikowKillerKuliano — CS2 Stats

76561197973214398[U:1:12948670]Steam profile ↗✓ No bans

446Tracked matches62%Win rate2020Tracked since
CSDB Rating4.8 DevelopingClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKalaschnikowKillerKulianoFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

HOT54–36–10Last 10054%Win rateLWWWWWTWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +4.8pp headshot accuracy · −29ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 606ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 625ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim4.7
Utility4.8
Positioning4.6
Opening Duels2.2
Clutch6.0

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 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 611ms 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

Aim4.7
Positioning4.6
Utility4.8
Mechanics4.5
Opening Duels1.8
Win Impact8.8

Composite 4.8/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time612ms−53ms
first ⅓ avg 666ms → last ⅓ avg 612ms
Headshot accuracy17.6%−1.7%
first ⅓ avg 19.2% → last ⅓ avg 17.6%

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.

Personal bests

0.14Best match rating · 13–8 · mirage, 5 Sept →
44%Best headshot accuracy · 13–4 · train, 10 Aug →
422msFastest reaction time · 13–2 · train, 15 Aug →
13–1Biggest win · train, 16 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 70% over 10trainWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA1710–759%-0.01
anubisB147–750%-0.01
infernoS107–370%-0.02
trainD103–730%-0.00
mirageD93–633%0.03
vertigoS96–367%-0.02
ancientD93–633%-0.01
nukeS96–367%-0.02
dust2S64–267%-0.01
office—21–150%-0.05
eldorado—11–0100%0.02
debris—11–0100%-0.08
poseidon—11–0100%-0.03
boulder—11–0100%-0.03
overpass—10–10%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

92Matches
52%Win rate
1.04Avg K/D
78.6ADR
48%Headshot %

Clutches & streaks

50%1v1 clutch win
32%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1850%1.1414.7
Inferno1090%1.1912.9
Nuke771%1.1413.3
Anubis650%0.8311.2
Dust2560%0.9316.0
Cache560%1.1812.4
Ancient30%0.9615.7
Overpass250%0.7812.0

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.

17.5%Headshot accuracy
31.8%Accuracy (enemy spotted)
34.5%Spray accuracy
70.1%Counter-strafing
11.6°Preaim
611msReaction time
39.2%T opening success
35.0%CT opening success
0.58Enemies flashed / flash
3.7%Flash assists
7.64HE damage / grenade
9.94Flashes / 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 39.1771% — below the 40% mark we flag

Spend your practice time on Train

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0121%3 Oct →
cache13–50.0829%20 Sept →
inferno13–9-0.0618%19 Sept →
anubis5–1-0.0733%19 Sept →
anubis13–80.0323%19 Sept →
office13–11-0.044%8 Sept →
office12–12-0.0617%8 Sept →
mirage13–80.1428%5 Sept →
anubis11–13-0.0121%30 Aug →
vertigo13–9-0.0313%30 Aug →
cache6–13-0.049%30 Aug →
cache9–0-0.0031%30 Aug →
cache5–0-0.0313%30 Aug →
cache13–4-0.004%30 Aug →
cache9–130.0321%29 Aug →
inferno7–13-0.0315%24 Aug →
ancient15–15-0.0711%21 Aug →
ancient6–13-0.0918%21 Aug →
anubis13–9-0.0219%21 Aug →
nuke12–120.0019%20 Aug →
vertigo11–13-0.0318%19 Aug →
anubis13–11-0.0620%18 Aug →
train9–13-0.0610%18 Aug →
cache13–7-0.0113%18 Aug →
eldorado9–40.0213%18 Aug →
debris9–5-0.0811%18 Aug →
poseidon9–4-0.0311%18 Aug →
inferno13–5-0.0214%17 Aug →
nuke13–10-0.0413%17 Aug →
anubis13–80.0416%17 Aug →
inferno10–130.0325%17 Aug →
mirage4–13-0.0035%17 Aug →
mirage12–12-0.0113%17 Aug →
cache5–13-0.054%16 Aug →
boulder13–10-0.0319%16 Aug →
nuke13–5-0.039%16 Aug →
inferno10–13-0.0122%16 Aug →
cache12–12-0.067%16 Aug →
train12–12-0.0630%16 Aug →
ancient13–30.0117%16 Aug →
cache7–13-0.0842%16 Aug →
mirage4–130.0224%16 Aug →
cache13–90.0023%16 Aug →
inferno13–11-0.0717%16 Aug →
ancient4–130.0214%16 Aug →
train13–10.1116%16 Aug →
anubis12–12-0.0522%16 Aug →
nuke13–2-0.0112%16 Aug →
dust213–7-0.0111%16 Aug →
vertigo13–9-0.0116%15 Aug →
mirage0–6-0.0320%15 Aug →
dust213–2-0.0114%15 Aug →
ancient2–110.0218%15 Aug →
inferno13–1-0.0413%15 Aug →
anubis7–130.0811%15 Aug →
cache9–13-0.0316%15 Aug →
vertigo13–11-0.0021%15 Aug →
nuke13–30.0021%15 Aug →
overpass12–12-0.0121%15 Aug →
train13–20.0715%15 Aug →
train11–13-0.0212%15 Aug →
ancient12–120.0618%15 Aug →
dust22–13-0.0021%15 Aug →
vertigo10–13-0.0115%15 Aug →
anubis13–6-0.057%14 Aug →
nuke13–6-0.027%14 Aug →
inferno13–70.0724%14 Aug →
mirage13–100.029%14 Aug →
cache13–30.0124%14 Aug →
nuke10–130.0129%12 Aug →
inferno13–70.0121%12 Aug →
train12–120.0315%12 Aug →
train8–13-0.0411%12 Aug →
mirage11–130.0713%12 Aug →
train9–13-0.0421%10 Aug →
cache13–11-0.0019%10 Aug →
vertigo13–7-0.0219%10 Aug →
dust213–8-0.008%10 Aug →
ancient13–4-0.0520%10 Aug →
train13–4-0.0344%10 Aug →
anubis10–130.0113%9 Aug →
inferno13–10-0.0920%9 Aug →
cache4–13-0.0525%9 Aug →
nuke13–5-0.0416%9 Aug →
cache13–50.0216%9 Aug →
anubis10–130.0319%9 Aug →
cache13–8-0.0212%30 Jul →
vertigo1–13-0.0544%30 Jul →
nuke5–13-0.0820%26 Jul →
anubis11–13-0.0714%26 Jul →
dust25–13-0.0219%26 Jul →
vertigo13–7-0.0420%26 Jul →
ancient7–130.0122%28 Mar →
train7–130.0122%28 Mar →
mirage13–100.1026%27 Mar →
anubis5–13-0.0515%27 Mar →
dust213–10-0.0214%27 Mar →
ancient13–50.0114%18 Mar →
vertigo13–10-0.0212%18 Mar →
anubis13–60.0818%18 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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